Agents and Data Mining Interaction  9th International Workshop, ADMI 2013, Saint Paul, MN, USA, May 6-7, 2013, Revised Selected Papers /  [electronic resource] : 
edited by Longbing Cao, Yifeng Zeng, Andreas L. Symeonidis, Vladimir Gorodetsky, Jörg P. Müller, Philip S. Yu. 
 - 1st ed. 2014. 
 - IX, 137 p. 45 illus.  online resource. 
 - Lecture Notes in Artificial Intelligence,  8316  2945-9141 ; .
 - Lecture Notes in Artificial Intelligence,  8316 .
<br/><br/>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. 
<br/><br/> 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. 
<br/><br/><label>ISBN: </label>9783642551925 
<br/><br/><label>Standard No.: </label>10.1007/978-3-642-55192-5  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Artificial intelligence.<br/>Data mining.<br/>Artificial Intelligence.<br/>Data Mining and Knowledge Discovery.
<br/><br/><label>LC Class. No.: </label>Q334-342 TA347.A78 
<br/><br/><label>Dewey Class. No.: </label>006.3