The 3rd International Workshop on Intelligent Data Analysis and Management

Buch | Hardcover
132 Seiten
2013 | 2013 ed.
Springer (Verlag)
978-94-007-7292-2 (ISBN)

Lese- und Medienproben

The 3rd International Workshop on Intelligent Data Analysis and Management -
203,29 inkl. MwSt
These papers on Intelligent Data Analysis and Management (IDAM) examine issues related to the research and applications of Artificial Intelligence techniques in data analysis and management across a variety of disciplines. The papers derive from the 2013 IDAM conference in Kaohsiung ,Taiwan. It is an interdisciplinary research field involving academic researchers in information technologies, computer science, public policy, bioinformatics, medical informatics, and social and behavior studies, etc. The techniques studied include (but are not limited to): data visualization, data pre-processing, data engineering, database mining techniques, tools and applications, evolutionary algorithms, machine learning, neural nets, fuzzy logic, statistical pattern recognition, knowledge filtering, and post-processing, etc.

An Information Quality (InfoQ) Framework for Ex-Ante and Ex-Post Evaluation of Empirical Studies.- Memory-Aware Mining of Indirect Associations over Data Streams.- Graph-based batch mode active learning.- One Pass Outlier Detection for Streaming Categorical Data.- Measuring of QoE for Cloud Applications.- Mining Weighted Partial Periodic Patterns.- Edge Selection for Degree Anonymization on K Shortest Paths.- K-Neighborhood Shortest Path Privacy in the Cloud.- The Framework of Information Processing Network for Supply Chain Innovation in Big Data Era.- Website Navigation Recommendation Based on Reinforcement Learning Technique.- An Approach for Hate Groups Detection in Facebook.- Toward Crowdsourcing Data Mining.- Wireless Security Analysis Using War Drive Investigation in Kaohsiung Areas.- Guanxi buying in the social media environment.- Introspection of unauthorized sharing on social networking sites.

Reihe/Serie Springer Proceedings in Complexity
Zusatzinfo X, 132 p.
Verlagsort Dordrecht
Sprache englisch
Maße 155 x 235 mm
Themenwelt Informatik Office Programme Outlook
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Mathematik / Informatik Mathematik Angewandte Mathematik
Naturwissenschaften Biologie
Sozialwissenschaften
Schlagworte Cloud-managemenet and Service Oriented Computing • data analytics • data mining and knowledge discovery • Modeling Data • Transaction management
ISBN-10 94-007-7292-0 / 9400772920
ISBN-13 978-94-007-7292-2 / 9789400772922
Zustand Neuware
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