Methodological Advancements in Intelligent Information Technologies: Evolutionary Trends

Methodological Advancements in Intelligent Information Technologies: Evolutionary Trends

Vijayan Sugumaran (Oakland University, USA)
Release Date: October, 2009|Copyright: © 2010 |Pages: 396
DOI: 10.4018/978-1-60566-970-0
ISBN13: 9781605669700|ISBN10: 1605669709|EISBN13: 9781605669717
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Description & Coverage
Description:

Recent advancements in technology have influenced major change within many industries. Because of such advancements, businesses and organizations are adapting to a more technology based work environment in order achieve a higher rate of production, output, and accuracy.

Methodological Advancements in Intelligent Information Technologies: Evolutionary Trends brings together research from international authors detailing developments in intelligent information technologies and their impact on organizational environments. This esteemed reference publication covers topics on agent-based approaches to process management, semantic Web services, data mining techniques, engineering software technologies, and scalable and adaptive Web search engines, in order to provide current research for practitioners, educators, and students interested in the implementation of innovative technologies in a variety of work environments.

Coverage:

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

  • Adaptive Web applications
  • Agent-based approaches to process management
  • Agile workflow technology
  • Bayesian Networks
  • Building search engines
  • E-mail mining
  • Engineering software systems
  • Heterogeneous and semantically-enriched ontologies
  • Quality of service models
  • Semantic Web Services
Reviews & Statements

Efficient use of intelligent systems is becoming a necessary goal for all, and an outstanding collection of latest research associated with advancements in intelligent agent applications, semantic technologies, and decision support and modelling is presented in this book. Use of intelligent applications will greatly improve productivity in the social computing arena.

– Vijayan Sugumaran, Oakland University, USA
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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.

Website: http://www.sba.oakland.edu/faculty/sugumara
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