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This book constitutes the thoroughly refereed and revised selected papers from the 10th International Workshop on Agents and Data Mining Interactions, ADMI 2014, held in Paris, France, in… Mehr…
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2006, ISBN: 9783319202303
This book constitutes the thoroughly refereed and revised selected papers from the 10th International Workshop on Agents and Data Mining Interactions, ADMI 2014, held in Paris, France, in… Mehr…
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Computer Science; Artificial Intelligence (incl. Robotics); Data Mining and Knowledge Discovery; Information Systems Applications (incl. Internet) agent mining, artificial intelligence, b… Mehr…
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2015, ISBN: 9783319202303
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2014, ISBN: 9783319202303
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6, ISBN: 9783319202303
This book constitutes the thoroughly refereed and revised selected papers from the 10th International Workshop on Agents and Data Mining Interactions, ADMI 2014, held in Paris, France, in… Mehr…
Andreas L. Symeonidis, Bo An, Frans Coenen, Longbing Cao, Philip S. Yu, Vladimir Gorodetsky, Yifeng Zeng:
Agents and Data Mining Interaction - neues Buch2006, ISBN: 9783319202303
This book constitutes the thoroughly refereed and revised selected papers from the 10th International Workshop on Agents and Data Mining Interactions, ADMI 2014, held in Paris, France, in… Mehr…
ISBN: 9783319202303
Computer Science; Artificial Intelligence (incl. Robotics); Data Mining and Knowledge Discovery; Information Systems Applications (incl. Internet) agent mining, artificial intelligence, b… Mehr…
2015, ISBN: 9783319202303
10th International Workshop, ADMI 2014, Paris, France, May 5-9, 2014, Revised Selected Papers, eBooks, eBook Download (PDF), 2015, [PU: Springer International Publishing], Springer Intern… Mehr…
Bibliographische Daten des bestpassenden Buches
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Detailangaben zum Buch - Agents and Data Mining Interaction
EAN (ISBN-13): 9783319202303
Erscheinungsjahr: 2015
Herausgeber: Springer International Publishing
Buch in der Datenbank seit 2015-09-10T22:03:05+02:00 (Vienna)
Detailseite zuletzt geändert am 2022-04-03T18:05:21+02:00 (Vienna)
ISBN/EAN: 9783319202303
ISBN - alternative Schreibweisen:
978-3-319-20230-3
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: fran zen, symeoni, frans coenen, symeonidis, zeng, syme, gorodé, yifeng, gorodetsky, coen
Titel des Buches: data mining
Daten vom Verlag:
Autor/in: Longbing Cao; Yifeng Zeng; Bo An; Andreas L. Symeonidis; Vladimir Gorodetsky; Frans Coenen; Philip S. Yu
Titel: Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence; Agents and Data Mining Interaction - 10th International Workshop, ADMI 2014, Paris, France, May 5-9, 2014, Revised Selected Papers
Verlag: Springer; Springer International Publishing
125 Seiten
Erscheinungsjahr: 2015-06-04
Cham; CH
Sprache: Englisch
42,79 € (DE)
44,00 € (AT)
47,50 CHF (CH)
Available
XI, 125 p. 54 illus.
EA; E107; eBook; Nonbooks, PBS / Informatik, EDV/Informatik; Künstliche Intelligenz; Verstehen; agent mining; artificial intelligence; bayesian networks; classification; clustering; computational intelligence; data mining; distributed systems; intelligent agents; machine learning; meta-learning; movement pattern; multi-agent simulation; multi-agent systems; ontology-based customer profile; pattern mining; recommender systems; self-managed systems; semantic similarity measure; software agents; C; Artificial Intelligence; Data Mining and Knowledge Discovery; Computer and Information Systems Applications; Computer Science; Data Mining; Wissensbasierte Systeme, Expertensysteme; Angewandte Informatik; BC
Learning Agents’ Relations in Interactive Multiagent Dynamic Influence Diagrams.- Agent-Based Customer Profile Learning in 3G Recommender Systems: Ontology-Driven Multi-source Cross-Domain Case.- Modeling Temporal Propagation Dynamics in Multiplex Networks.- Mining Movement Patterns from Video Data to Inform Multi-agent Based Simulation.- Accessory-Based Multi-agent Simulating Platform on the Web.- Performance Evaluation of Agents and Multi-agent Systems Using Formal Specifications in Z Notation.- Reputation in Communities of Agent-Based Web Services Through Data Mining.- Data Mining Process Optimization in Computational Multi-agent Systems.- Diversifying the Storytelling Using Bayesian Networks.- A Coupled Similarity Kernel for Pairwise Support Vector Machine.Includes supplementary material: sn.pub/extras
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