Overview
- Editors:
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Ngoc Thanh Nguyen
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Institute of Informatics, Wroclaw University of Technology, Wroclaw, Poland
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Radosław Katarzyniak
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Institute of Informatics, Wroclaw University of Technology, Wroclaw, Poland
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Shyi-Ming Chen
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Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan
- Latest research in Intelligent Information and Database Systems
- Edited outcome of the 2nd Asian Conference on Intelligent Information and Database Systems held in Hue City, Vietnam March 24-26 2010
- Includes contributions of leading experts in the field
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Table of contents (32 chapters)
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Data Mining and Knowledge Extraction
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Front Matter
Pages 205-205
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- Tin C. Truong, Anh N. Tran
Pages 217-227
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- Mai Thai Son, Duong Tuan Anh
Pages 229-240
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- Kritsadakorn Kongubol, Thanawin Rakthanmanon, Kitsana Waiyamai
Pages 241-252
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- Nai-Chieh Wei, Yang Wu, I-Ming Chao, Shih-Kai Lin
Pages 253-263
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- Iwan Tri Riyadi Yanto, Tutut Herawan, Mustafa Mat Deris
Pages 265-277
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- Rolly Intan, Oviliani Yenty Yuliana
Pages 279-290
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- Tzu-Fu Chiu, Chao-Fu Hong, Yu-Ting Chiu
Pages 291-301
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Computational Intelligence
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Front Matter
Pages 303-303
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- Khang Nguyen Tan Tran Minh, Nguyen Dang Thi Thanh, Khon Trieu Trang, Nuong Tran Thi Hue
Pages 305-313
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- Yongli Wang, Dongxiao Niu, Mian Xing
Pages 315-324
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- Laor Boongasame, Veera Boonjing
Pages 325-336
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- Mary Wu, Shin Hun Kim, Chong Gun Kim
Pages 337-347
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- Jia-Wen Wang, Jing-Wen Chang
Pages 349-358
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- Le Manh Ha, Nguyen Anh Tam, Phan Thi Ha Duong
Pages 359-370
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- Monruthai Radeerom, M. L. Kulthon Kasemsan
Pages 371-381
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About this book
Intelligent information and database systems are two closely related and we- established subfields of modern computer science. They focus on the integration of artificial intelligence and classic database technologies in order to create the class of next generation information systems. The major target of this new gene- tion of systems is to provide end-users with intelligent behavior: simple and/or advanced learning, problem solving, uncertain and certain reasoning, se- organization, cooperation, etc. Such intelligent abilities are implemented in classic information systems to make them autonomous and user oriented, in particular when advanced problems of multimedia information and knowledge discovery, access, retrieval and manipulation are to be solved in the context of large, distr- uted and heterogeneous environments. It means that intelligent knowledge-based information and database systems are used to solve basic problems of large coll- tions management, carry out knowledge discovery from large data collections, reason about information under uncertain conditions, support users in their for- lation of complex queries etc. Topics discussed in this volume include but are not limited to the foundations and principles of data, information, and knowledge models, methodologies for intelligent information and database systems analysis, design, implementation, validation, maintenance and evolution.