Intelligent Information Technologies: Concepts, Methodologies, Tools, and Applications (4 Volumes)

Intelligent Information Technologies: Concepts, Methodologies, Tools, and Applications (4 Volumes)

Vijayan Sugumaran (Oakland University, USA)
Release Date: November, 2007|Copyright: © 2008 |Pages: 2614
DOI: 10.4018/978-1-59904-941-0
ISBN13: 9781599049410|ISBN10: 1599049414|EISBN13: 9781599049427
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Description & Coverage

Intelligent Information Technologies: Concepts, Methodologies, Tools, and Applications compiles 140 chapters from 340 of the world's leading experts on such next-generation technologies as Semantic Web, multi-agent systems, and Web ontologies.

This vast, four-volume collection provides a foundational body of research to drive further evolution and innovation in the context of these technologies and their applications, of which the scientific, technological, and commercial communities have only begun to scratch the surface. Comprehensively covering such leading-edge developments as artificial intelligence, virtual environments, and multi-media information processing, Intelligent Information Technologies: Concepts, Methodologies, Tools, and Applications is an essential reference acquisition for any library seeking to cover the leading edge of technological innovations.


The many academic areas covered in this publication include, but are not limited to:

  • Agent-Oriented Methodologies
  • Algorithmic Aspects of Protein Threading
  • Artificial Intelligence in Electricity Market Operations and Management
  • Artificial Intelligence Techniques in Medicine and Healthcare
  • Artificial Neural Networks in Financial Trading
  • Bayesian Modeling for Machine Learning
  • Bayesian Networks
  • Biological neural networks
  • Building Artificially Intelligent Learning Games
  • Comparative Genome Annotation Systems
  • Computational Intelligence Applications in Business
  • Decision Support Systems and their Application in Construction
  • Designing Agent-Based Negotiation for E-Marketing
  • Engineering Emotionally Intelligent Agents
  • Evaluation of a Fuzzy Ontology-Based Medica Information System
  • Genomic Databanks for Biomedical Informatics
  • Human-Based Models for Ambient Intelligence Environments
  • Intelligent Agent Model for E-Commerce
  • Machine Learning for Agents and Multi-Agent Systems
  • Memory and Emotion in the Cognitive Architecture
  • Multimodal Interaction Techniques and Applications
  • Semantic Knowledge Mining Techniques
  • Semantic Web Services for Healthcare
  • Trust Models for Ubiquitous Mobile Systems
  • Virtual Communities and the Alignment of Web Ontologies
Reviews & Statements

This excellent collection provides comprehensive coverage of applications and technology related to information technologies in today's Internet world.

– Sudha Ram, University of Arizona, USA

This series is the most comprehensive collection of articles on the concepts, methods, tools, and applications on Intelligent Information Technologies. It is an essential reading for those interested in Intelligent Information Technology research and practice.

– Balasubramaniam Ramesh, Georgia State University, USA

This collection is impressive in its scope of important information technology topics and its in-depth coverage of the state-of-the-art in these topics. It will be a valued reference for both researchers and practitioners in the information technology field.

– Alan R. Hevner, University of South Florida, USA

Intelligent Technologies represented by Semantic Web, Agents, and Ontology are becoming a critical part of any system. This comprehensive collection will serve as a useful resource.

– Hemant Jain, University of Wisconsin- Milwaukee, USA

Students and scholars of intelligent information technologies are in for a rare treat when they open these volumes. This excellent series provides state-of-the art research in well-written and thoughtfully edited chapters that educate and enlighten. I strongly endorse it.

– Dr. Kenneth E. Kendall, Rutgers University, USA

Sugumaran presents a four-volume reference that is intended to provide a foundational body of research for those working in the field of intelligent information technologies, which include agent-based technologies, sensor applications, emergent behavior, and neural networks.

– Book News Inc. (2008)

This massive multivolume work, over 2,000 pages in length, is an impressively extensive set of 139 abstracted and referenced articles whose list of contributors spans the globe and whose content crosses into severl other disciplines, demonstrating the variety of applications for this technology.

– CHOICE, Vol. 46, No. 3 (2008)
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Editor/Author Biographies
Vijayan Sugumaran is Distinguished Professor of Management Information Systems and Chair of the Department of Decision and Information Sciences at Oakland University, Rochester, Michigan, USA. He is also the Co-Director of the Center for Data Science and Big Data Analytics at Oakland University. He received his Ph.D. in Information Technology from George Mason University, Fairfax, Virginia, USA. His research interests are in the areas of Big Data Management and Analytics, Ontologies and Semantic Web, Intelligent Agent and Multi-Agent Systems. He has published over 260 peer-reviewed articles in Journals, Conferences, and Books. He has edited twenty books and serves on the Editorial Board of eight journals. He has published in top-tier journals such as Information Systems Research, ACM Transactions on Database Systems, Communications of the ACM, IEEE Transactions on Big Data, IEEE Transactions on Engineering Management, IEEE Transactions on Education, and IEEE Software. Dr. Sugumaran is the editor-in-chief of the International Journal of Intelligent Information Technologies (IJIIT). He is the Chair of the Intelligent Agent and Multi-Agent Systems mini-track for Americas Conference on Information Systems (AMCIS 1999–2021). Dr. Sugumaran has served as the Program Chair for the 14th Workshop on E-Business (WeB2015), the International Conference on Applications of Natural Language to Information Systems (NLDB 2008, NLDB 2013, NLDB 2016, and NLDB 2019), 29th Australasian Conference on Information Systems (ACIS 2018), 14th Annual Conference of Midwest Association for Information Systems (MWAIS 2019), 5th IEEE International Conference on Big Data Service and Applications (BDS 2019), and 2022 Midwest Decision Sciences Institute Annual Conference (MWDSI 2022). He also regularly serves as a program committee member for numerous national and international conferences.

Abstracting & Indexing
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Editorial Advisory Board
Associate Editors

Steve Clarke
University of Hull, UK

Murray Jennex
San Diego State University, USA

Annie Becker
Florida Institute of Technology USA

Ari-Veikko Anttiroiko
University of Tampere, Finland

Editorial Advisory Board

Sherif Kamel
American University in Cairo, Egypt

In Lee
Western Illinois University, USA

Jerzy Kisielnicki
Warsaw University, Poland

Keng Siau
University of Nebraska-Lincoln, USA

Amar Gupta
Arizona University, USA

Craig van Slyke
University of Central Florida, USA

John Wang
Montclair State University, USA

Vishanth Weerakkody
Brunel University, UK