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Advances in Data Mining - Theoretical Aspects and Applications by Petra Perner Paperback | Indigo Chapters - libro nuevo

2007, ISBN: 9783540734345

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Theoretical Aspects and Applications:

Advances in Data Mining - libro nuevo

2007, ISBN: 9783540734345

ICDM / MLDM Medaillie (limited edition) Meissner Porcellan, the “White Gold” of King August the Strongest of Saxonia ICDM 2007 was the seventh event in the Industrial Conference on Data M… Más…

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Advances in Data Mining - Theoretical Aspects and Applications 7th Industrial Conference, ICDM 2007, Leipzig, Germany, July 14-18, 2007, Proceedings - Perner, Petra (Herausgeber)
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Perner, Petra (Herausgeber):
Advances in Data Mining - Theoretical Aspects and Applications 7th Industrial Conference, ICDM 2007, Leipzig, Germany, July 14-18, 2007, Proceedings - libro nuevo

2007

ISBN: 3540734341

2007 Kartoniert / Broschiert Data Mining (EDV), Intelligenz / Künstliche Intelligenz, KI, Künstliche Intelligenz - AI, Neuronales Netz - Neuronaler Computer - Neurocomputer, Datenbanken… Más…

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Petra Perner:
Advances in Data Mining - Theoretical Aspects and Applications - Pasta blanda

ISBN: 9783540734345

Paperback, [PU: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG], The papers in this volume represent the proceedings of the 7th Industrial Conference on Data Mining. They are organiz… Más…

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Perner, Petra [Editor]:
Advances in Data Mining - Theoretical Aspects and Applications: 7th Industrial Conference, ICDM 2007, Leipzig, Germany, July 14-18, 2007, Proceedings ... / Lecture Notes in Artificial Intelligence) - Pasta blanda

2007, ISBN: 9783540734345

Springer, 2007-07-05. Paperback. Very Good. Ex-library paperback in very nice condition with the usual markings and attachments., Springer, 2007-07-05, 3

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Detalles del libro
Advances in Data Mining - Theoretical Aspects and Applications by Petra Perner Paperback | Indigo Chapters

This book constitutes the refereed proceedings of the 7th Industrial Conference on Data Mining, ICDM 2007, held in Leipzig, Germany in July 2007. The 25 revised full papers presented together with 1 invited paper were carefully reviewed and selected from 96 submissions. The papers are organized in topical sections on aspects of classification and prediction, clustering, web mining, data mining in medicine, applications of data mining, time series and frequent pattern mining, and association rule mining.

Detalles del libro - Advances in Data Mining - Theoretical Aspects and Applications by Petra Perner Paperback | Indigo Chapters


EAN (ISBN-13): 9783540734345
ISBN (ISBN-10): 3540734341
Tapa dura
Tapa blanda
Año de publicación: 2007
Editorial: Petra Perner
351 Páginas
Peso: 0,537 kg
Idioma: eng/Englisch

Libro en la base de datos desde 2007-01-13T01:14:41-06:00 (Mexico City)
Página de detalles modificada por última vez el 2024-03-06T19:19:38-06:00 (Mexico City)
ISBN/EAN: 9783540734345

ISBN - escritura alterna:
3-540-73434-1, 978-3-540-73434-5
Mode alterno de escritura y términos de búsqueda relacionados:
Autor del libro: data mining, perner, petra pau, meissner, leipzig, petra springer, brazil series
Título del libro: aspects artificial intelligence, theoretical computer science, lecture notes data mining, leipzig 2007, asp, advances data mining, july, industrial germany, edition leipzig, aspects the novel


Datos del la editorial

Autor: Petra Perner
Título: Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence; Advances in Data Mining - Theoretical Aspects and Applications - 7th Industrial Conference, ICDM 2007, Leipzig, Germany, July 14-18, 2007, Proceedings
Editorial: Springer; Springer Berlin
356 Páginas
Año de publicación: 2007-07-05
Berlin; Heidelberg; DE
Idioma: Inglés
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
Available
XI, 356 p.

BC; Hardcover, Softcover / Informatik, EDV/Informatik; Datenbanken; Verstehen; algorithmic learning; algorithms; association rule mining; classification; clustering; cognition; computer vision; feature selection; filtering; genetic algorithms; inductive logic programming; knowledge dis; learning; optimization; proving; Database Management; Automated Pattern Recognition; Computer Vision; Data Mining and Knowledge Discovery; Computer and Information Systems Applications; Artificial Intelligence; Mustererkennung; Maschinelles Sehen, Bildverstehen; Data Mining; Wissensbasierte Systeme, Expertensysteme; Angewandte Informatik; Künstliche Intelligenz; EA

Invited Talk.- Case Based Reasoning and the Search for Knowledge.- Aspects of Classification and Prediction.- Subsets More Representative Than Random Ones.- Concepts for Novelty Detection and Handling Based on a Case-Based Reasoning Process Scheme.- An Efficient Algorithm for Instance-Based Learning on Data Streams.- Softening the Margin in Discrete SVM.- Feature Selection Using Ant Colony Optimization (ACO): A New Method and Comparative Study in the Application of Face Recognition System.- Outlier Detection with Streaming Dyadic Decomposition.- VISRED –Numerical Data Mining with Linear and Nonlinear Techniques.- Clustering.- Clustering by Random Projections.- Lightweight Clustering Technique for Distributed Data Mining Applications.- Web Mining.- Predicting Page Occurrence in a Click-Stream Data: Statistical and Rule-Based Approach.- Improved IR in Cohesion Model for Link Detection System.- Improving a State-of-the-Art Named Entity Recognition System Using the World Wide Web.- Data Mining in Medicine.- ISOR-2: A Case-Based Reasoning System to Explain Exceptional Dialysis Patients.- The Role of Prototypical Cases in Biomedical Case-Based Reasoning.- Applications of Data Mining.- A Search Space Reduction Methodology for Large Databases: A Case Study.- Combining Traditional and Neural-Based Techniques for Ink Feed Control in a Newspaper Printing Press.- Active Learning Strategies: A Case Study for Detection of Emotions in Speech.- Neural Business Control System.- A Framework for Discovering and Analyzing Changing Customer Segments.- Collaborative Filtering Using Electrical Resistance Network Models.- Visual Query and Exploration System for Temporal Relational Database.- Towards an Online Image-Based Tree Taxonomy.- Distributed Generative Data Mining.- Time Series andFrequent Pattern Mining.- Privacy-Preserving Discovery of Frequent Patterns in Time Series.- Efficient Non Linear Time Series Prediction Using Non Linear Signal Analysis and Neural Networks in Chaotic Diode Resonator Circuits.- Association Minnig.- Using Disjunctions in Association Mining.

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