Data Mining: Foundations and Intelligent Paradigms
Volume 1: Clustering, Association and Classification
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ISBN-13:
9783642231650
Veröffentl:
2011
Einband:
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Erscheinungsdatum:
07.11.2011
Seiten:
352
Autor:
Lakhmi C Jain
Gewicht:
758 g
Format:
241x160x27 mm
Serie:
23, Intelligent Systems Reference Library
Sprache:
Englisch
Beschreibung:
There are many invaluable books available on data mining theory and applications. However, in compiling a volume titled ¿DATA MINING: Foundations and Intelligent Paradigms: Volume 1: Clustering, Association and Classification¿ we wish to introduce some of the latest developments to a broad audience of both specialists and non-specialists in this field.
Latest research in data mining using intelligent paradigms and their applications
Introductory Chapter.- Clustering Analysis in Large Graphs with Rich Attributes.- Temporal Data Mining: Similarity-Profiled Association Pattern.- Bayesian Networks with Imprecise Probabilities: Theory and Application to Classification.- Hierarchical Clustering for Finding Symmetries and Other Patterns in Massive, High Dimensional Datasets.- Randomized Algorithm of Finding the True Number of Clusters Based on Chebychev Polynomial Approximation.- Bregman Bubble Clustering: A Robust Framework for Mining Dense Clusters.- DepMiner: A method and a system for the extraction of significant dependencies.- Integration of Dataset Scans in Processing Sets of Frequent Itemset Queries.- Text Clustering with Named Entities: A Model, Experimentation and Realization.- Regional Association Rule Mining and Scoping from Spatial Data.- Learning from Imbalanced Data: Evaluation Matters.
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