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Agents and Data Mining Interaction : 9th International Workshop, ADMI 2013, Saint Paul, MN, USA, May 6-7, 2013, Revised Selected Papers / edited by Longbing Cao, Yifeng Zeng, Andreas L. Symeonidis, Vladimir Gorodetsky, Jörg P. Müller, Philip S. Yu.
SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online
View online- Format:
- Book
- Series:
- Computer Science (Springer-11645)
- Lecture notes in computer science. Lecture notes in artificial intelligence ; 8316.
- Lecture Notes in Artificial Intelligence ; 8316
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Data mining.
- Artificial Intelligence.
- Data Mining and Knowledge Discovery.
- Local Subjects:
- Artificial Intelligence.
- Data Mining and Knowledge Discovery.
- Physical Description:
- 1 online resource (IX, 137 pages) : 45 illustrations.
- Edition:
- First edition 2014.
- Contained In:
- Springer eBooks
- Place of Publication:
- Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014.
- System Details:
- text file PDF
- 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.
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-642-55192-5
- 9783642551925
- Access Restriction:
- Restricted for use by site license.
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