Methodological Advancements in Intelligent Information Technologies: Evolutionary Trends

Methodological Advancements in Intelligent Information Technologies: Evolutionary Trends

Vijayan Sugumaran
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 Decision and Information Sciences department at Oakland University. He is also 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. Over the years he has taught courses at the Graduate and Undergraduate level in Object-Oriented Systems Development, C++, Java, Javascript, Database Management Systems and Data Warehouses, Advanced Databases and Big Data Management, Deep Learning and Text Analytics, Systems Analysis and Design, Electronic Commerce, and Introduction to MIS. His research interests are in the areas of Big Data Analytics, Business Intelligence, Ontologies and Semantic Web, Intelligent Agent and Multi-Agent Systems, Component Based Software Development, Knowledge-Based Systems, and Data & Information Modeling. He has published over 275 peer-reviewed articles in Journals, Conferences, and Books. He has edited twenty books. His recent publications have appeared in Information Systems Research, ACM Transactions on Database Systems, IEEE Transactions on Engineering Management, IEEE Transactions on Big Data, IEEE Transactions on Education, IEEE software, Communications of the ACM, Healthcare Management Science, Data and Knowledge Engineering, The DATABASE for Advances in Information Systems, Information Systems Journal, and Journal of Information Systems and E-Business Management. He is also the editor-in-chief of the International Journal of Intelligent Information Technologies and also serves on the editorial board of eight other journals. He was the Program Co-Chair for the International Conference on Applications of Natural Language to Information Systems (NLDB 2008, NLDB 2013, NLDB 2016, NLDB 2019, and NLDB 2023). He was also the Chair of Intelligent Information Systems track for the Information Resources Management Association International Conference (IRMA 2001, 2002, 2005 - 2007) and the Intelligent Agent and Multi-Agent Systems in Business mini-track for Americas Conference on Information Systems (AMCIS 1999 - 2023). He served as Program Co-Chair for the 14th Workshop on E-Business (WeB2015), 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 served as Chair of the E-Commerce track for Decision Science Institute’s Annual Conference, 2004. He was the Information Technology Coordinator for the Decision Sciences Institute from 2007 to 2010. He also regularly serves as a program committee member for numerous national and international conferences.
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