Agents and Data Mining Interaction - 9th International Workshop, ADMI 2013, Saint Paul, MN, USA, May 6-7, 2013, Revised Selected Papers

This book constitutes the thoroughly refereed and revised selected papers from the 9th International Workshop on Agents and Data Mining Interaction, ADMI 2013, held in Saint Paul, MN, USA in May 2013. The 10 papers presented in this volume were carefully selected for inclusion in the book and are organized in topical sections named agent mining and data mining.

List of contents

Using Dynamic Bayesian Networks to Model User-Experience.- Multi-Agent Joint Learning from Argumentation.- Towards Mining Norms in Open Source Software Repositories.- The Recognition of Multiple Virtual Identities Association Based on Multi-Agent System.- Redundant Feature Selection for Telemetry Data.- Mining Emerging Patterns of PIU from Computer-Mediated Interaction Events.- Learning Heterogeneous Coupling Relationships between Non-IID Terms.- Learning the Hotness of Information Discussions with Multi-Dimensional Hawkes Processes.- A Spectral Clustering Algorithm Based on Hierarchical Method.- Transitive Identity Mapping using Force-Based Clustering.

Summary

This book constitutes the thoroughly refereed and revised selected papers from the 9th International Workshop on Agents and Data Mining Interaction, ADMI 2013, held in Saint Paul, MN, USA in May 2013. The 10 papers presented in this volume were carefully selected for inclusion in the book and are organized in topical sections named agent mining and data mining.

Product details

• Assisted by: Longbing Cao (Editor), Vladimir Gorodetsky (Editor), Andreas L Symeonidis et al (Editor), J. P. Müller (Editor), Jörg P. Müller (Editor), Andreas L. Symeonidis (Editor), Philip Yu (Editor), Philip S. Yu (Editor), Yifen Zeng (Editor), Yifeng Zeng (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 27.03.2014
• EAN: 9783642551918
• ISBN: 978-3-642-55191-8
• No. of pages: 137
• Dimensions: 158 mm x 10 mm x 234 mm
• Weight: 236 g
• Illustrations: IX, 137 p. 45 illus.
• Series: Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence; Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence; Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > IT; C, machine learning, Data Mining, Artificial Intelligence, Wissensbasierte Systeme, Expertensysteme, computer science, Data Mining and Knowledge Discovery, Expert systems / knowledge-based systems, multi-agent systems, Intelligent Agents, multi-agent learning