Chair: Dan Dolk
Naval Postgraduate School
Monterey, California 93943-5103
Phone: 831-656-2260 Fax: 831-656-3679
dolker@redshift.com

The minitrack covers the broad theory and application issues related to data mining, machine learning, knowledge acquisition, knowledge discovery, information retrieval, data base, and inductive decision-making. Both structured and unstructured data repositories including human expert decisions, environmental/normative datasets, large document collections, and web databases are considered. Theoretical and methodological exploration in the previous years motivates us to further investigate the various and richer data and knowledge representation schemes such as Web, multimedia, and geographic data applied to science as well as management domains

Possible Topics may include, but are not limited to, the following areas:

• Measuring Model Performance
• Algorithms and Tools
• Task Characteristics
• Data Quality, Size, and Representation
• Web-based Data Mining
• Multimedia and Temporal Data
• Qualitative Knowledge
• Knowledge Re-use
• Active Learning
• Human Factors and Environmental Issues
• Mining Methodology Issues
• Scalability and Preprocessing
• Internet Interface with Information Retrieval
• Model Interpretation
• Sensitivity and Generalizability
• Economics and Cost of Errors
• Geographic Data
• Data Visualization
• Text Categorization and Summarization
• Cross Language Retrieval
• Speech and Broadcast Retrieval
• Application Case Studies
• Industry Projects

Selwyn Piramuthu (Primary Contact)
Decision and Information Sciences
P.O. Box 117169
University of Florida
Gainesville, FL 32611-7169
TEL (352) 392 8882
Fax: (352) 392-5438
selwyn@ufl.edu

H. Michael Chung
Center for Information Strategies and Technologies (CIST)
College of Business Administration
California State University
Long Beach, CA 90840-8506
TEL (562) 985-7691
Fax: (562) 985-5543
hmchung@csulb.edu

While focusing on a holistic and integrated view of an organization, EA often can be subdivided into components such as business architecture, data architecture, application architecture, and technology architecture in order to contain the complexity of the design problem.

Possible Topics include the following:

-Enterprise architecture concepts and categorization
-Enterprise modeling techniques, implementation of processes, and policies.
-Software architecture and component-based development
-Programming techniques and methodologies
-Interoperability and integration in large-scale systems
-Meta modeling
-Mobility, scalability, security, and reliability issues
-Business model (in particular, e-Business models) and organizational infrastructure
-Web service infrastructure
-Mobile systems management (in particular m-Commerce models)
-Application architecture and portfolio management
-Middleware management
-Quality of service management
-Network design and planning
-Integrated Network Management
-Network Operation Centers Technology
-Management Information Bases
-IP Telephony and Internet management
-Policy-based management
-Strategies and pricing of network management service
-Standards and regulations
-Network management protocols
-Intelligent mobile agent
-Distributed object technologies
-Broadband and multimedia network management
-Quality and assessment of architectural methodologies and tools
-Enterprise Architecture implementation cases

Alex Bordetsky
Naval Postgraduate School
IS/Bd
Monterey, CA 93943
TEL (831) 656-2287
Fax: 831-656-3679
abordets@nps.navy.mil

Mark Weiser
Department of Management
College of Business
Oklahoma State University, Stillwater
Stillwater, OK 74078
TEL (405) 744-9000
Fax: 707-982-0953
weiser@okstate.edu

Our objective is to encourage submissions on multiple aspects of the problem as well as promote diversity in perspectives. Accordingly, the scope of the minitrack will encompass research along three dimensions of e-services: (1) Concepts, models, and methods for creating for e-services, (2) theory building or framework construction research through empirical, qualitative, or technical "proof of concept" system-design approaches, and (3) innovative applications and case studies highlighting challenges, issues and e-service solutions. Submissions focusing on e-services in the context of e-business applications for e-services and related infrastructure and methods to create such applications are also welcome.

Balasubramaniam Ramesh
Department of Computer Information Systems
Georgia State University
35 Broad Street, Atlanta, GA 30303
Phone: 404-651-3823
Fax: 707-598-1412
bramesh@gsu.edu



Intelligent Decision Support for e-Logistics  and Supply Chain

Information Technology is a prerequisite for successful Supply Chain Management today and will become even more so in near future. The e-Logistics field is developing very dynamically. Business-to business transactions are made via the Internet and ERP systems manage the transactional information within the enterprise. While IT systems are vital components in supply chains, their successful management rely on intelligent and coordinated decision making throughout the logistics network. Intelligent Decision support using advanced decision technologies are becoming increasingly important in e-Logistics and SCM as well. Data Warehouses and Data Mining can be used to store and analyze product, inventory, and sales information. Simulation and optimization, which can be found in advanced-planning and scheduling systems, can be employed for e.g. inventory, production, procurement and distribution planning.

Areas in which papers are solicited will includes but is not restricted to simulation, optimization, heuristics, agent technologies, descriptive models, data warehousing and data mining. We are especially interested in real world applications and in software solutions that assist in solving decision problems. Also conceptual ideas, reports on projects in progress and case studies are welcome.

H.-J. Sebastian (primary contact)
Aachen University of Technology
Institute for Operations Research
Templergraben 64, D-52062 Aachen
phone: ++49 241 80 9 61 85
fax: ++49 241 8092-168
Sebastian@or.rwth-aachen.de
http://www.or.rwth-aachen.de 

Stefan Voss
Technische Universitaet Braunschweig,
Institut fuer Wirtschaftswissenschaften/
Informationsmanagement,
Abt-Jerusalem-Strasse 7,
D - 38106 Braunschweig, Germany
Tel: ++49-531-3913210
FAX: ++49-531-3918144
stefan.voss@tu-bs.de



Intelligent Systems and Soft Computing

This mini-track is focused on the theory and applications of intelligent systems and soft computing in management. This includes (but is not limited to) processes of (i) problem solving, (ii) planning and (iii) decision making, in contexts which range from (iv) strategic management, (v) business process reengineering and (vi) electronic commerce, to (vii) production, (viii) marketing and (ix) financial management, and to (x) smarter IS applications for operational management.

The Intelligent Systems and Soft Computing mini-track is focused on the theory and applications of intelligent systems and soft computing in management. This includes

• Knowledge based systems
• Expert systems
• Software agents
• Multiple criteria optimisation and support systems
• Genetic algorithms
• Artificial neural nets and self-organising maps
• Innovative and active DSS
• Smart MS Office & Windows designs

Christer Carlsson (primary contact)
IAMSR
Åbo Akademi University
DataCity B 6734
20520 Åbo, Finland
phone: +358-2-215-4796
christer.carlsson@abo.fi

Pirkko Walden
IAMSR
Åbo Akademi University
DataCity B 6734
20520 Åbo, Finland
pirkko.walden@abo.fi

The minitrack on m-commerce is focused on core business technology and intelligent support. This includes (but is not limited to) the following issues:

• Research into finding and identifying potential customer groups for fast-growing value added mobile e-commerce. This issue points to the need for new or innovative e-commerce models and will require that both new methods for Internet research and good supporting technology will be developed.
• Research into the design, development and implementation of mobile e-commerce solutions for selected customer groups. If and when target groups for value-added services can be identified, this issue points to the need to develop/adapt new or innovative technologies for localized, personalized, ubiquitous, timely and convenient m-commerce service solutions.
• New and enhanced systems solutions for integrated production and distribution of m-commerce products and services. The elimination of bottlenecks and the modification and enhancement of service capacity will need (for instance) enhanced network architectures, intelligent information systems and agent technology. There will probably be a need to improve the network infrastructure for both producers and consumers of m-commerce products and services, as well as the process intermediaries.
• The design and development of value added user interfaces and user support systems for mobile e-commerce customers. This issue outlines the need to verify and validate the functionality of the new technologies and to prove that they are value adding. At the same time, we need better knowledge about the true functionality and substance of new m-commerce products and services.
• New methods for finding and evaluating value added services for customer groups. This issue points to the need for a proactive design of emerging m-commerce products and services ahead of the market (probably based on mobile new technology), interactive empirical tests with potential customer groups, feedback to the technology developers and testing of redesigns.
• New technologies for virtual community creation, portals and smartals will form new business models for m-commerce. We need to gain an understanding of which of these models are going to be commercially successful and why.

Pirkko Walden (primary contact)
IAMSR
Åbo Akademi University
DataCity B 6734
20520 Åbo, Finland
pirkko.walden@abo.fi

Christer Carlsson
IAMSR
Åbo Akademi University
DataCity B 6734
20520 Åbo, Finland
+358-2-215-4796
christer.carlsson@abo.fi

Jari Veijalainen
Department of Computer Science and Information Systems
University of Jayväskylä
P.O. Box 35
FIN-40351 Jyväskylä, Finland
Tel: +358-14-2603040
Fax: +358-14-2603011
veijalai@cs.jyu.fi

Modeling Nonlinear Natural and Human Systems

This minitrack is a premier presentation forum for the latest ideas and results in the areas of agent-based adaptive simulation, SD-based simulation, and other approaches to modeling nonlinear complex systems. We seek research papers, case studies and practitioner reports relating to modeling and simulation methods, environments, and methodologies of complex systems. Contributions, in which various nonlinear modeling techniques are employed, are highly welcome.

        Relevant topics for this minitrack include (but are not limited to):

• Studies involving agent-based modeling techniques
• Studies involving system dynamics modeling techniques
• Cross-sectional Agent-based and System Dynamics studies
• Business Applications and Case Studies
• Architectures and Environments
• Standards
• Experimental Studies
• Large Scale Simulations
• Web-Based Simulations
• Model Verification, Validation and Calibration
• Solution Comparisons
• Integration With Decision Models
• Constructive and Destructive Agents
• Artificial Organizations, Societies and Economies

Hans J. (Jochen) Scholl
Center for Technology in Government
University at Albany
1535 Western Avenue
Albany, NY 12203-3513
Tel: (518) 442-3937
Fax: (518) 442-3886
jscholl@ctg.albany.edu

George P. Richardson
Professor of Public Information, Public Policy
    and Information Science
Rockefeller College of Public Affairs and Policy
University of Albany - State University of New York
Albany NY 12222
Tel: (518) 542-3859
gpr@albany.edu

Modeling Knowledge-Intensive Processes

The objective of this minitrack is to provide a forum for emerging research on the modeling and use of process knowledge. In the past, much of research in this area has focused on tools and techniques for the capture and use of design rationale for software. However, researchers are increasingly focusing on multiple facets of the problem, e.g., capturing and retaining implicit knowledge or devising organizational incentives for designers to create and use process knowledge. It is our contention that widespread use of knowledge intensive processes in organizations requires integration among the diverse aspects of the problem. This can be accomplished by providing mechanisms through which researchers can exchange perspectives on different aspects of the problem. This minitrack is intended to be such a forum. Our objective is to encourage submissions on multiple aspects of the problem as well as promote diversity in perspectives. Accordingly, the scope of the minitrack will encompass research on modeling concepts, methods, and applications. We also welcome submissions that focus on the use and efficacy of process knowledge in the design of products, systems or services.

Balasubramaniam Ramesh (primary contact)
Department of Computer Information Systems
Georgia State University
35 Broad Street
Atlanta, GA 30303
Phone: 404-651-3823
Fax: 707-598-1412
bramesh@gsu.edu

Kishore Sengupta
Associate Professor of Information Systems
INSEAD
Boulevard de Constance
77305 Fontainbleau Cedex,
France
Tel: (33) (0)1 60 72 44 06
Fax: (33) (0)1 60 74 55 00/01
kishore.sengupta@insead.edu