International Conference on Advanced Software Engineering and Information Systems (ICASEIS)
Call for papers

In this globalized, digitized world, high-functional and user-friendly information systems are the most important key infrastructure for our daily life, while a greater variety of information systems are expected to develop and employed to satisfy different needs of different people and different sectors of the society. Thus it is essential to design and implement innovative information systems that provide better services and to study and develop more advanced knowledge, methods, and techniques of software engineering that will enable us to construct such information systems in better, quicker, and more inexpensive ways.

The First International Conference on Advanced Software Engineering and Information Systems (ICASEIS 2013), to be held in Jakarta, Indonesia, on 28th to 30th, November, 2013, calls for new, original, innovative studies to contribute to the development of software engineering and information systems. ICASEIS 2013 will provide both participants and people interested in these areas with a unique opportunity that wisdoms of the state of the art around these areas are gathered together and that intensive discussion and communication among both researchers and practitioners enhances the horizon of the research areas. The topic covered by ICASEIS 2013 will include those keywords below, but not limited to:

  • Software Engineering
    • Information Integration,
    • System Development,
    • Conceptual Model,
    • Privacy Protection,
    • SGML,
    • Constraint Satisfaction Problem,
    • Specifications Description Language,
    • Re-use,
    • Domain Knowledge,
    • XML,
    • Knowledge Representation,
    • Investment Measurement,
    • Software Development Efficiency & Stabilization,
    • Software Development,
    • Information Systems Requirements Engineering,
    • Auto Tuning,
    • Architectural Structure Design,
    • Workflow,
    • Application System,
    • Stakeholder,
    • Requirements Analysis,
    • Process Model,
    • Embedded Systems,
    • Software Development Improvement,
    • Process Modeling, Ontology.
  • Information Systems
    • Computer System,
    • Advanced Internet,
    • User Interface,
    • Secure Network,
    • Intelligent Learning System,
    • Communicative Approach,
    • Information Technology,
    • Error Detection,
    • Web Services,
    • Modeling,
    • Group Learning Support,
    • Deontic Logic,
    • Natural language processing,
    • Information Retrieval,
    • Search Engine,
    • Data Mining,
    • Information Processing Education,
    • Process Algebra,
    • Verification,
    • Web Application Linkage,
    • Information System Model,
    • Supporting Tool for Group Learning,
    • Information System Design,
    • XML,
    • Artificial Intelligence,
    • Context Processing,
    • Agent Management Information System,
    • Evolutional Architecture,
    • Learning Material Support,
    • Interactive System,
    • Information System Education,
    • Educational Technology,
    • Communicative Approach,
    • Image Analysis,
    • University Education,
    • Subjunctive Interfaces,
    • Dialogue Systems,
    • Enterprise Information System,
    • Security Policy, Security.


    Organization
    Conference Chair
      Sachio Hirokawa, Kyushu University, Japan
    Program Chair
      Ford Lumban Gaol, Binus University, Indonesia
      Keijiro Araki, Kyushu University, Japan
    Accepted Special Sessions


    (SS1) Complex Event Processing and Machine Learning(pdf)
    With the spread of high-performance sensors and networks, many kinds of data are being captured continuously in every place. Complex Event Processing (CEP) is a technology that analyzes time-series data from several kinds of sensors and identifies the target events. The processes in CEP are suitable applications of Machine Learning (ML).
    Organizers Amil A. Ilham, Hasanuddin University, Indonesia
    Kensuke Baba, Kyushu University, Japan
    Deadline of paper submission October 15, 2013 (extended)
    Notification of acceptance October 30, 2013
    Contact baba.kensuke.060@m.kyushu-u.ac.jp



    (SS2) Data Mining for Library(pdf)

    The use of information systems and networks became popular in libraries, which realizes that libraries can stock many kinds of log data such as loan, entrance, and search histories. This special session focuses on such library-related data as an application of data mining.
    Organizers Toshiro Minami, Kyushu Institute of Information Sciences, Japan
    Kensuke Baba, Kyushu University, Japan
    Deadline of paper submission October 15, 2013 (extended)
    Notification of acceptance October 30, 2013
    Contact baba.kensuke.060@m.kyushu-u.ac.jp