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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 Titelvorschau
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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

Verfasser/in: Longbing Cao
Verlag: Berlin : Springer, 2014.
Serien: Lecture notes in computer science., Lecture notes in artificial intelligence ;, 8316.; LNCS sublibrary., SL 7,, Artificial intelligence.
Ausgabe/Format   E-Book : Dokument : Tagungsband : EnglischAlle Ausgaben und Formate anzeigen
Datenbank:WorldCat
Zusammenfassung:
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.
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Gattung/Form: Electronic books
Conference proceedings
Congresses
Physisches Format Print version:
ADMI (Workshop) (9th : 2013 : Saint Paul, Minn. ), creator.
Agents and data mining interaction
(OCoLC)878862069
Medientyp: Tagungsband, Dokument, Internetquelle
Dokumenttyp: Internet-Ressource, Computer-Datei
Alle Autoren: Longbing Cao
ISBN: 9783642551925 3642551920 3642551912 9783642551918
OCLC-Nummer: 879327282
Anmerkungen: Revised conference papers.
Beschreibung: 1 online resource.
Inhalt: 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.
Serientitel: Lecture notes in computer science., Lecture notes in artificial intelligence ;, 8316.; LNCS sublibrary., SL 7,, Artificial intelligence.
Verfasserangabe: edited by Longbing Cao [and five others].

Abstract:

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.

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