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  • 251.
    Bider, Ilia
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Rogers, David
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    YASQLT – Yet Another SQL Tutor: A Pragmatic Approach2016In: Advances in Conceptual Modeling: ER 2016 Workshops, AHA, MoBiD, MORE-BI, MReBA, QMMQ, SCME, and WM2SP, Gifu, Japan, November 14–17, 2016, Proceedings / [ed] Sebastian Link, Juan C. Trujillo, Springer, 2016, 197-206 p.Conference paper (Refereed)
    Abstract [en]

    The paper describes an ongoing project of creating an automated assessment tool to help novice students learning SQL in a frame of an introductory database course. In difference to other tools of this kind, the project has chosen a pragmatic approach of focusing on catching common semantic errors, leaving syntax control to professional DBMS. Using agile system development, the project successfully completed two iterations, both of which were tested in practice with satisfactory results. The students appreciated the tool and would like to have similar tools for other subjects, including Relational Algebra, and Conceptual Modeling. The latter is planned for implementation in the near future. The tool is considered to be appropriate for Learning by Failure in the situation of large size classes and short courses.

  • 252.
    Bider, Ilia
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Schmidt, Rainer
    Preface2016In: Enterprise, Business-Process and Information Systems Modeling: 17th International Conference, BPMDS 2016, 21st International Conference, EMMSAD 2016, Held at CAiSE 2016, Ljubljana, Slovenia, June 13-14,2016, Proceedings / [ed] Rainer Schmidt, Wided Guédria, Ilia Bider, Sérgio Guerreiro, 2016, V-VI p.Conference paper (Other academic)
  • 253.
    Bider, Ilia
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Söderberg, Oscar
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Becoming Agile in a Non-disruptive Way: Is It Possible?2016In: Proceedings of the 18th International Conference on Enterprise Information Systems / [ed] Slimane Hammoudi, Leszek Maciaszek, Michele M. Missikoff, Olivier Camp, José Cordeiro, SciTePress, 2016, Vol. 1, 294-305 p.Conference paper (Refereed)
    Abstract [en]

    Due to the increasing popularity of Agile Software Development (ASD), more software development teams are planning to transit to ASD. As ASD substantially differs from the traditional Software Development (TSD), there are a number of issues and challenges that needs to be overcome when transiting to ASD. One of the most difficult challenges here is acquiring an agile “mindset”. The question arises whether it is possible to acquire this mindset with the minimum disruption of an already established TSD process. The paper tries to answer this question by developing a non-disruptive method of transition to ASD, while using a knowledge transformation perspective to identify the main features of ASD mindset and how it differs from the one of TSD. To map the current mindset and plan the movement to the mindset that is more agile, the paper suggests using a process modelling technique that considers the development process as a socio-technical system with components that correspond to the pha ses of the development process. The method suggested in the paper has been designed in connection to a business case of a development team interested to transit to agility in a non-disruptive manner.

  • 254.
    Bin, Xiao
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Self-evolvable Knowledge-enhanced IoT Data Mobility for Smart EnvironmentsArticle in journal (Refereed)
  • 255.
    Bin, Xiao
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Rahim, Rahmani
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Yuhong, Li
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Kanter, Theo
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Edge-based Interoperable Service-driven Information Distribution for Intelligent Pervasive ServicesIn: Pervasive and Mobile Computing, ISSN 1574-1192, E-ISSN 1873-1589Article in journal (Refereed)
  • 256. Biteus, Jonas
    et al.
    Lindgren, Tony
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Planning Flexible Maintenance for Heavy Trucks using Machine Learning Models, Constraint Programming, and Route Optimization2017In: SAE International Journal of Materials & Manufacturing, ISSN 1946-3979, E-ISSN 1946-3987, Vol. 10, no 3, 306-315 p.Article in journal (Refereed)
    Abstract [en]

    Maintenance planning of trucks at Scania have previously been done using static cyclic plans with fixed sets of maintenance tasks, determined by mileage, calendar time, and some data driven physical models. Flexible maintenance have improved the maintenance program with the addition of general data driven expert rules and the ability to move sub-sets of maintenance tasks between maintenance occasions. Meanwhile, successful modelling with machine learning on big data, automatic planning using constraint programming, and route optimization are hinting on the ability to achieve even higher fleet utilization by further improvements of the flexible maintenance. The maintenance program have therefore been partitioned into its smallest parts and formulated as individual constraint rules. The overall goal is to maximize the utilization of a fleet, i.e. maximize the ability to perform transport assignments, with respect to maintenance. A sub-goal is to minimize costs for vehicle break downs and the costs for maintenance actions. The maintenance planner takes as input customer preferences and maintenance task deadlines where the existing expert rule for the component has been replaced by a predictive model. Using machine learning, operational data have been used to train a predictive random forest model that can estimate the probability that a vehicle will have a breakdown given its operational data as input. The route optimization takes predicted vehicle health into consideration when optimizing routes and assignment allocations. The random forest model satisfactory predicts failures, the maintenance planner successfully computes consistent and good maintenance plans, and the route optimizer give optimal routes within tens of seconds of operation time. The model, the maintenance planner, and the route optimizer have been integrated into a demonstrator able to highlight the usability and feasibility of the suggested approach.

  • 257.
    Björck, Fredrik
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Discovering Information Security Management2005Doctoral thesis, monograph (Other academic)
    Abstract [en]

    This thesis is concerned with issues relating to the management of information security in organisations, motivated by the need for cost-efficient information security.

    It is based on the assumption that: in order to achieve cost-efficient information security, the point of departure must be knowledge about the empirical reality in which the management of information security takes place.

    The data gathering instruments employed are questionnaires with open-ended questions and unstructured research interviews. The empirical material is analysed, and conclusions are drawn following the principles of Grounded Theory. Data sources are professionals in the area of information security management, including information security consultants (n=13), certification auditors (n=8), and information security managers (n=8).

    The main contributions are: an integrated model illustrating the experts’ perceptions concerning the objectives, actors, resources, threats, and countermeasures of information security management; a framework for the evaluation, formation, and implementation of information security management systems; a new approach for the evaluation of information security in organisations; a set of success factors concerning the formation of information security management systems; and a problem inventory concerning the value and assessment of information security education and training.

  • 258.
    Björck, Fredrik
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Henkel, Martin
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Stirna, Janis
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Zdravkovic, Jelena
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Cyber Resilience – Fundamentals for a Definition2015In: New Contributions in Information Systems and Technologies: Volume 1 / [ed] Alvaro Rocha, Ana Maria Correia, Sandor Costanzo, Luis Paulo Reis., Springer, 2015, 311-316 p.Conference paper (Refereed)
    Abstract [en]

    This short paper examines the concept of cyber resilience from an organizational perspective. Cyber resilience is defined as “the ability to continuously deliver the intended outcome despite adverse cyber events”, and this definition is systematically described and justified. The fundamental building blocks of cyber resilience are identified and analyzed through the contrasting of cyber resilience against cybersecurity with regards to five central characteristics.

  • 259.
    Björck, Fredrik J
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Institutional Theory: A New Perspective for Research into IS/IT Security2004In: Proceedings of the HICSS37, Big Island, Hawaii, 2004Conference paper (Other academic)
  • 260. Björkqvist, Olof
    et al.
    Larsson, Aron
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Idefeldt, Jim
    Risk Assessment of New Pricing Strategies in the District Heating Market: A Case Study at Sundsvall Energi AB2010In: Energy Policy, ISSN 0301-4215, Vol. 38, no 5, 2171-2178 p.Article in journal (Refereed)
    Abstract [en]

    The price structure of district heating has been no major scientific issue for the last decades in energy-related research. However, today trends in district heating pricing tend to move towards a more customer-oriented approach with predetermined prices under a longer periods, leading to a more complex price structure. If a district heating supplier offers district heating with predetermined prices in order to compete with similar electricity offers, the financial risk of the new price structure is significantly higher than the risk of an ordinary variable cost offer based on short-run marginal cost. In contrary to an electricity seller, the district heating company cannot transfer all of the risk of predetermined prices to the financial market, instead the company is thrown upon its own ability to handle the risk by, e.g., hedging its own energy purchase. However, all uncertainties cannot be coped with in this manner. Thus, there is a need for a methodology that can be used to estimate the financial risk of different price structures and to value different opportunities to reduce the risk. In this article, we propose a methodology, implemented in prototype software, to evaluate the risk associated with new price structures in district heating.

  • 261.
    Blåsjö, Mona
    et al.
    Stockholm University, Faculty of Humanities, Department of Swedish Language and Multilingualism, Scandinavian Languages.
    Hållsten, Stina
    Södertörns högskola.
    Karlström, Petter
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Knutsson, Ola
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Cerratto Pargman, Teresa
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Att skriva för att lära i digitala miljöer2014In: Resultatdialog 2014, Stockholm: Vetenskapsrådet , 2014, 109-119 p.Chapter in book (Other academic)
  • 262.
    Blåsjö, Mona
    et al.
    Stockholm University, Faculty of Humanities, Department of Scandinavian Languages.
    Knutsson, Ola
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Cerratto-Pargman, Teresa
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Exploring the Design Space of Genre Pedagogy and Virtual Learning Environments2012In: Designs for Learning 2012: 3rd International Conference Exploring Learning Environments. Conference Proceedings, 2012, 75-77 p.Conference paper (Refereed)
    Abstract [en]

    This paper explores the design space of genre pedagogy and virtual learning environments. This is done by examining the cornerstones of genre pedagogy and the main activities they give raise to, and how the activities are transformed when they are partly or completely moved from the classroom to virtual learning environments, and what implications for interaction design they give raise to.

  • 263. Bodén, Marine
    et al.
    Boström, Gustav
    Nyfjord, Jaana
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Security Engineering and eXtreme Programming: An Impossible Marriage?2004Conference paper (Other academic)
    Abstract [en]
    Agile methods, such as eXtreme Programming (XP), have been criticised for being inadequate for the development of secure software. In this paper, we analyse XP from a security engineering standpoint, to assess to what extent the method can be used for development of security critical software. This is done by analysing XP in the light of two security engineering standards; the Systems Security Engineering-Capability Maturity Model (SSE-CMM) and the Common Criteria (CC). The result is that XP is more aligned with security engineering than one might think at first. However, XP also needs to be tailored to better support and to more explicitly deal with security engineering issues. Tailoring XP for secure software development, without removing the agility that is the trademark of agile methods, may be a solution that would make XP more compatible with current security engineering practices.
  • 264. Boella, Guido
    et al.
    Noriega, Pablo
    Pigozzi, Gabriella
    Verhagen, Harko
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Introduction to the special issue on NorMAS 20092013In: Journal of logic and computation (Print), ISSN 0955-792X, E-ISSN 1465-363X, Vol. 23, no 2, 307-308 p.Article in journal (Other academic)
  • 265. Boella, Guido
    et al.
    Pigozzi, Gabriella
    Singh, Munindar
    Verhagen, Harko
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Normative Multiagent Systems: Guest Editors’ Introduction2010In: Logic Journal of the IGPL, Vol. 18, no 1, 1-3 p.Article in journal (Refereed)
  • 266. Boella, Guido
    et al.
    van der Torre, Leendert
    Verhagen, Harko
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Introduction to Normative Multiagent Systems2006In: Computational and mathematical organization theory, ISSN 1381-298X, E-ISSN 1572-9346, Vol. 12, no 2-3, 71-79 p.Article in journal (Refereed)
    Abstract [en]

    This article introduces the research issues related to and definition of normative multiagent systems. It also describes the papers selected from NorMAS05 that are part of this double special issue and relates the papers to each other.

  • 267. Boella, Guido
    et al.
    van der Torre, Leendert
    Verhagen, Harko
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences. Kommunikation och kognition.
    Introduction to Normative Multiagent Systems2007Other (Other (popular science, discussion, etc.))
  • 268. Boella, Guido
    et al.
    van der Torre, Leendert
    Verhagen, Harko
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences. Kommunikation och kognition.
    Introduction to the special issue on normative multiagent systems2008In: Autonomous Agents and Multi-Agent Systems, Vol. 1, no 1387-2532, 1-20 p.Article in journal (Refereed)
  • 269.
    Boella, Guido
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    van der Torre, Leendert
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Verhagen, Harko
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences. Kommunikation och kognition.
    Roles, an Interdisciplinary Perspective2007In: Applied ontology, Vol. 2, 81-88 p.Article in journal (Refereed)
  • 270.
    Boella, Guido
    et al.
    Universita di Torino, , Dipartimento di Informatica.
    van der Torre, Leendert
    University of Luxembourg, , Computer Science and Communication Research Unit.
    Verhagen, Harko
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Ten Challenges for Normative Multiagent Systems2008In: Programming Multi-Agent Systems, Programming Multi-Agent Systems , 2008Conference paper (Refereed)
    Abstract [en]

    In this paper we discuss the shift from a legal to an interactionist view on normative multiagent systems, examples, and ten new challenges in this more dynamic setting.

  • 271. Boella, Guido
    et al.
    van der Torre, Leon
    Verhagen, Harko
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Introduction to Normative Multiagent Systems2005In: Proceedings of NorMAS2005, Guido Boella, Leendert van der Torre, and Harko Verhagen , 2005Conference paper (Other academic)
  • 272. Boella, Guido
    et al.
    Verhagen, Harko
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Normative Multiagent Systems: An Introduction to Social Theory for MAS Researchers2004Other (Other (popular science, discussion, etc.))
  • 273.
    Boeva, Veselka
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Ekenberg, Love
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    A transition logic for schemata conflicts2004In: Data & Knowledge Engineering, ISSN 0169-023X, Vol. 51, no 3, 277-294 p.Article in journal (Refereed)
    Abstract [en]

    Conflict detection and analysis are of high importance, e.g., when integrating conceptual schemata, such as UML-Specifications, or analysing goal-fulfilment of sets of autonomous agents. In general, models for this introduce unnecessarily complicated frameworks with several disadvantages regarding semantics as well as complexity. This paper demonstrates that an important set of static and dynamic conflicts between specifications can be diagnosed using ordinary first-order modal logic. Furthermore, we show how the framework can be extended for handling situations when there are convex sets of probability measures over a state-space. Thus, representing specifications as conceptual schemata and using standard Kripke models of modal logic, augmented with an interval-valued probability measure, we propose instrumental definitions and procedures for conflict detection.

  • 274.
    Bohman, Samuel
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Civic Participation and Empowerment through Visualization2015In: Proceedings of SIGRAD 2015, June 1st and 2nd, Stockholm, Sweden / [ed] Christopher E. Peters and Lars Kjelldahl, Linköping: Linköping University Electronic Press, 2015, 20-23 p.Conference paper (Refereed)
    Abstract [en]

    This article elaborates on the use of data visualization to promote civic participation and democratic engagement. The power and potential of data visualization is examined through a brief historical overview and four interconnected themes that provide new opportunities for electronic participation research: data storytelling, infographics, data physicalization, and quantified self. The goal is to call attention to this space and encourage a larger community of researchers to explore the possibilities that data visualization can bring.

  • 275.
    Bohman, Samuel
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Data Visualization: An Untapped Potential for Political Participation and Civic Engagement2015In: Electronic Government and the Information Systems Perspective: 4th International Conference, EGOVIS 2015, Valencia, Spain, September 1-3, 2015, Proceedings / [ed] Andrea Kö, Enrico Francesconi, Springer, 2015, 302-315 p.Conference paper (Refereed)
    Abstract [en]

    This article elaborates on the use of data visualization to promote a more informed and engaged participation in civic and democratic life. First, it outlines the main constraints and challenges in electronic participation research and concludes that the conventional deliberative approach to political participation has been impeding civic engagement. Then, through a couple of recent examples and a brief historical overview, it examines the power of data visualization. Following this, it explores the democratization of data visualization through four interconnected themes that provide new opportunities for political participation and civic engagement research: data storytelling, infographics, data physicalisation, and the quantified self. The goal is to call attention to this space and encourage a larger community of researchers to explore the possibilities that data visualization can bring.

  • 276.
    Bohman, Samuel
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Information Technology in eParticipation Research: A Word Frequency Analysis2014In: Electronic Participation: Proceedings, Springer Berlin/Heidelberg, 2014, 78-89 p.Conference paper (Refereed)
    Abstract [en]

    Recent literature and project reviews suggest information technology is inadequately reflected in eParticipation research. This study uses text search queries to investigate the occurrence of 60 technology categories in a bibliographic database consisting of over a thousand research articles. The results show that eParticipation research have overwhelmingly focused on websites and discussion forums as the main technologies under study. Many other technologies that are frequently mentioned in overview articles as being part of eParticipation have received relatively scant attention in actual research. This article presents findings that may be useful in broadening and deepening the field’s treatment of technology.

  • 277.
    Bohman, Samuel
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Hansson, Henrik
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Mobini, Pooyeh
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Online participation in higher education decision-making: a mixed methods study of the MyUniversity EU-project2014In: eJournal of eDemocracy and Open Government, ISSN 2075-9517, Vol. 6, 267-285 p.Article in journal (Refereed)
    Abstract [en]

    This article considers online participation in higher education decision-making using the MyUniversity EU project as a case study. MyUniversity was a pilot designed to provide European universities with a web-based system to empower and involve students and other members of the academic community in the Bologna Process. Thirteen universities in Spain, Slovakia, Bulgaria, and Lithuania participated in trials. The study uses data collection methods from across the quantitative and qualitative spectrum: web analytics, online surveys, key performance indicators, interviews, focus groups, participant observation, document studies, and usability evaluations. The results are represented by 10 themes: project design, participation, functionality and usability, impact on decision-making, privacy and trust, institutional resistance, motivational factors, the political, economic, and sociocultural context, language barriers, and moderation and framing. The article ends with a discussion based on the results, including recommendations for future research.

  • 278.
    Bohman, Samuel
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Kalinina, Maria
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Larsson, Aron
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Trade-off in statistical design process2012Conference paper (Other academic)
    Abstract [en]

    The design and planning of a statistical survey can be regarded as a complex decision process involving multiple stakeholders and a diverse set of users. The process involves finding a balance between statistical quality, burden on respondents and costs. Our research is aimed towards developing a prototype system consisting of computational core based on the combination of multi-objective optimization, multi-criteria analysis, and a user-friendly interface. The overall objective of the research is to maximize statistical quality while minimizing the burden on respondents and costs.

  • 279. Boldt, Martin
    et al.
    Nohlberg, Marcus
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Phishing with Gifts as Bait: Measurement and Analysis of Phishing Attacks within a University EnvironmentManuscript (Other academic)
  • 280.
    Boman, Magnus
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences. Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences. Data- och Systemvetenskap. Programvaruutveckling.
    The Joy of Mesh2008In: British Medical Journal, Vol. 337, a2500- p.Article in journal (Refereed)
  • 281.
    Boman, Magnus
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Ghaffar, Asim
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Liljeros, Fredrik
    Stockholm University, Faculty of Social Sciences, Department of Sociology.
    Stenhem, Mikael
    Social network visualization as a contract tracing tool2006In: Proceedings First International Work Shop on Agent Technology for Disaster Management, Nick Jennings , 2006, 131-133 p.Conference paper (Refereed)
  • 282.
    Boman, Magnus
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Holm, Einar
    Multi-agent systems, time geography, and microsimulations2004In: Systems Approaches and their Application / [ed] Olsson, M-O. and Sjöstedt, G., Boston: Kluwer Academic , 2004Chapter in book (Other academic)
  • 283.
    Boman, Magnus
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Johansson, Stefan
    Modeling Epidemic Spread in Synthetic Populations - Virtual Plagues in Massively Multiplayer Online Games2007In: Proceedings of Digital Games Research Association (DiGRA) 2007, 2007, 357-361 p.Conference paper (Refereed)
    Abstract [en]

    A virtual plague is a process in which a behavior-affecting property spreads among characters in a Massively Multiplayer Online Game (MMOG). The MMOG individuals constitute a synthetic population, and the game can be seen as a form of interactive executable model for studying disease spread, albeit of a very special kind. To a game developer maintaining an MMOG, recognizing, monitoring, and ultimately controlling a virtual plague is important, regardless of how it was initiated. The prospect of using tools, methods and theory from the field of epidemiology to do this seems natural and appealing. We will address the feasibility of such a prospect, first by considering some basic measures used in epidemiology, then by pointing out the differences between real world epidemics and virtual plagues. We also suggest directions for MMOG developer control through epidemiological modeling. Our aim is understanding the properties of virtual plagues, rather than trying to eliminate them or mitigate their effects, as would be in the case of real infectious disease.

  • 284.
    Boman, Magnus
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Sandin, Anna
    Implementing an agent trade server2006In: Decision Support Systems, ISSN 0167-9236, Vol. 42, no 1, 318-327 p.Article in journal (Refereed)
    Abstract [en]

    An experimental server for stock trading autonomous agents is presented and made available, together with an agent shell for swift development. The server, written in Java, was implemented as proof-of-concept for an agent trade server for a real financial exchange.

  • 285. Boonman, Hettie J.
    et al.
    Siddiqui, Afzal S.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences. University College London, UK; HEC Montréal, Canada.
    Capacity optimization under uncertainty: The impact of operational time lags2017In: European Journal of Operational Research, ISSN 0377-2217, E-ISSN 1872-6860, Vol. 262, no 2, 660-672 p.Article in journal (Refereed)
    Abstract [en]

    Time lags in switching operational modes are typical in the manufacturing and power sectors but are not treated in most real options models. In this paper, we consider a firm that has the opportunity to suspend and to resume production infinitely many times subject to a time lag after each startup decision. We contribute to the literature by allowing the firm to determine its level of installed capacity in conjunction with its optimal investment timing. We find that an increase in the length of the time lag results in an increase in the optimal capacity level. Capacity optimization also interacts with the length of the time lag to affect investment timing and the triggers to suspend and resume production, thereby weakening the result about hysteresis from a standard real options model. Under the assumption of a fixed level of capacity, a longer lag speeds up the decision to resume operations due to a positive upside to the revenue but delays the suspension of operations. By contrast, with capacity optimization, a longer time lag results in a larger capacity choice, which can indirectly delay the investment decision and the timing to resume operations. This indirect effect dominates when the level of market uncertainty is low and the time lag is initially small.

  • 286.
    Borg Gyllenbäck, Katarina
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Boman, Magnus
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Narrative Bridging2011In: Design Computing and Cognition ’10 / [ed] John S. Gero, Berlin: Springer Verlag , 2011, 525-544 p.Conference paper (Refereed)
    Abstract [en]

    In the design of interactive media, various forms of intuitive practice come into play. It might prove tempting to use templates and strong narrative structures instead of developing the narrative directly for interactive media. This leads towards computer implementation too swiftly. The narrative bridging method focuses on the initial design phase, in which the conceptual modeling takes place. The purpose is to provide designers with a non-intrusive method that supports the design process without interfering with its creative elements. The method supports the sentient construction of digital games with a narrative, with the ultimate goal of enhancing the player’s experience. A prototype test served as a first evaluation, and two games from that test are showcased here for the purpose of illustrating the hands-on use of narrative bridging. The test demonstrated that the method could aid time-constrained design, and in the process detect inconsistencies that could prevent the design team from making improvements. The method also provided teams with a shared vocabulary and outlook.

  • 287. Borking, Kjell
    et al.
    Danielson, Mats
    Davies, Guy
    Ekenberg, Love
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Idefeldt, Jim
    Larsson, Aron
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Transcending Business Intelligence2011Book (Other academic)
  • 288. Borking, Kjell
    et al.
    Danielson, Mats
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Ekenberg, Love
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Idefeldt, Jim
    Larsson, Aron
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Bortom Business Intelligence2009 (ed. 1)Book (Other academic)
  • 289. Bornemann, Leon
    et al.
    Lecerf, Jason
    Papapetrou, Panagiotis
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    STIFE: A Framework for Feature-based Classification of Sequences of Temporal Intervals2016In: Discovery Science: 19th International Conference, DS 2016, Bari, Italy, October 19–21, 2016, Proceedings / [ed] Toon Calders, Michelangelo Ceci, Donato Malerba, Springer, 2016, 85-100 p.Conference paper (Refereed)
    Abstract [en]

    In this paper, we study the problem of classification of sequences of temporal intervals. Our main contribution is the STIFE framework for extracting relevant features from interval sequences to build feature-based classifiers. STIFE uses a combination of basic static metrics, shapelet discovery and selection, as well as distance-based approaches. Additionally, we propose an improved way of computing the state of the art IBSM distance measure between two interval sequences, that reduces both runtime and memory needs from pseudo-polynomial to fully polynomial, which greatly reduces the runtime of distance based classification approaches. Our empirical evaluation not only shows that STIFE provides a very fast classification time in all evaluated scenarios but also reveals that a random forests using STIFE achieves similar or better accuracy than the state of the art k-NN classifier.

  • 290. Bornoe, Nis
    et al.
    Barkhuus, Louise
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    TagPad: Supporting Field Interviews and Analysis2013In: iConference 2013 Proceedings / [ed] Linda Schamber, iShools , 2013, 316-325 p.Conference paper (Refereed)
    Abstract [en]

    The area of cyberinfrastructures has looked extensively at research within the natural sciences, however, the social sciences have been largely overlooked in terms of novel data collection and analysis systems. We developed a probe tool, TagPad, to look at the process for social science data collection through interviews and surveys. Our research participants found that TagPad facilitated structuring of interviews but we also found that the setting in which the interview takes place is essential to the success of using this particular tool. We conclude suggesting future designs of social science research tools.

  • 291. Boström, Gustav
    et al.
    Henkel, Martin
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Nyfjord, Jaana
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Aspects in the Agile Toolbox2005Conference paper (Other academic)
    Abstract [en]
    The introduction of agile methodologies promises faster time to market and a flexible, customer-driven software development process. The flexibility with regards to requirements can however also be a risk if new non-functional requirements need to be implemented late in a software development project. In this article we argue that aspect-oriented programming is a technique that can mitigate this risk by providing the means to deal with non-functional, crosscutting requirements. The suggested solution is illustrated by an example where new requirements in the form of quality of service demands on an existing service are implemented by using aspect orientated programming.
  • 292. Boström, Gustav
    et al.
    Nyfjord, Jaana
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Bodén, Marine
    Beznosov, Konstantin
    Kruchten, Philippe
    Extending XP Practices to Support Security Requirements Engineering2006In: Proceedings of Workshop on Software Engineering for Secure Systems (SESS’06), 28th International Conference of Software Engineering (ICSE’06), Shanghai, China, 2006Conference paper (Other academic)
  • 293.
    Boström, Henrik
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Calibrating Random Forests2008In: Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008Conference paper (Refereed)
  • 294.
    Boström, Henrik
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Concurrent Learning of Large-Scale Random Forests2011In: Scandinavian Conference on Artificial Intelligence, IOS Press , 2011Conference paper (Refereed)
  • 295.
    Boström, Henrik
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Estimating Class Probabilities in Random Forests2007In: Proceedings of the Sixth International Conference on Machine Learning and Applications, IEEE , 2007, 211-216 p.Conference paper (Refereed)
    Abstract [en]

    For both single probability estimation trees (PETs) and ensembles of such trees, commonly employed class probability estimates correct the observed relative class frequencies in each leaf to avoid anomalies caused by small sample sizes. The effect of such corrections in random forests of PETs is investigated, and the use of the relative class frequency is compared to using two corrected estimates, the Laplace estimate and the m-estimate. An experiment with 34 datasets from the UCI repository shows that estimating class probabilities using relative class frequency clearly outperforms both using the Laplace estimate and the m-estimate with respect to accuracy, area under the ROC curve (AUC) and Brier score. Hence, in contrast to what is commonly employed for PETs and ensembles of PETs, these results strongly suggest that a non-corrected probability estimate should be used in random forests of PETs. The experiment further shows that learning random forests of PETs using relative class frequency significantly outperforms learning random forests of classification trees (i.e., trees for which only an unweighted vote on the most probable class is counted) with respect to both accuracy and AUC, but that the latter is clearly ahead of the former with respect to Brier score.

  • 296.
    Boström, Henrik
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Feature vs. Classifier Fusion for Predictive Data - a Case Study in Pesticide Classification2007In: Proceedings of the 10th International Conference on Information Fusion, IEEE , 2007, 1-7 p.Conference paper (Refereed)
    Abstract [en]

    Two strategies for fusing information from multiple sources when generating predictive models in the domain of pesticide classification are investigated: i) fusing different sets of features (molecular descriptors) before building a model and ii) fusing the classifiers built from the individual descriptor sets. An empirical investigation demonstrates that the choice of strategy can have a significant impact on the predictive performance. Furthermore, the experiment shows that the best strategy is dependent on the type of predictive model considered. When generating a decision tree for pesticide classification, a statistically significant difference in accuracy is observed in favor of combining predictions from the individual models compared to generating a single model from the fused set of molecular descriptors. On the other hand, when the model consists of an ensemble of decision trees, a statistically significant difference in accuracy is observed in favor of building the model from the fused set of descriptors compared to fusing ensemble models built from the individual sources.

  • 297.
    Boström, Henrik
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Forests of probability estimation trees2012In: International journal of pattern recognition and artificial intelligence, ISSN 0218-0014, Vol. 26, no 2, 1251001- p.Article in journal (Refereed)
    Abstract [en]

    Probability estimation trees (PETs) generalize classification trees in that they assign class probability distributions instead of class labels to examples that are to be classified. This property has been demonstrated to allow PETs to outperform classification trees with respect to ranking performance, as measured by the area under the ROC curve (AUC). It has further been shown that the use of probability correction improves the performance of PETs. This has lead to the use of probability correction also in forests of PETs. However, it was recently observed that probability correction may in fact deteriorate performance of forests of PETs. A more detailed study of the phenomenon is presented and the reasons behind this observation are analyzed. An empirical investigation is presented, comparing forests of classification trees to forests of both corrected and uncorrected PETS on 34 data sets from the UCI repository. The experiment shows that a small forest (10 trees) of probability corrected PETs gives a higher AUC than a similar-sized forest of classification trees, hence providing evidence in favor of using forests of probability corrected PETs. However, the picture changes when increasing the forest size, as the AUC is no longer improved by probability correction. For accuracy and squared error of predicted class probabilities (Brier score), probability correction even leads to a negative effect. An analysis of the mean squared error of the trees in the forests and their variance, shows that although probability correction results in trees that are more correct on average, the variance is reduced at the same time, leading to an overall loss of performance for larger forests. The main conclusions are that probability correction should only be employed in small forests of PETs, and that for larger forests, classification trees and PETs are equally good alternatives.

  • 298.
    Boström, Henrik
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Maximizing the Area under the ROC Curve using Incremental Reduced Error Pruning2005In: Proceedings of the ICML 2005 Workshop on ROC Analysis in Machine Learning, Bonn: AMC Press , 2005Conference paper (Refereed)
  • 299.
    Boström, Henrik
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Maximizing the Area under the ROC Curve with Decision Lists and Rule Sets2007In: Proceedings of the 2007 SIAM International Conference on Data Mining, 2007, 27-34 p.Conference paper (Refereed)
  • 300.
    Boström, Henrik
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Method for efficiently checking coverage of rules derived from a logical theory2008Patent (Other (popular science, discussion, etc.))
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