Data Mining: Foundations and Intelligent Paradigms

Volume 1: Clustering, Association and Classification

AvDawn E. Holmes,Lakhmi C Jain

Häftad, Engelska, 2014

Del i serien Intelligent Systems Reference Library

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2014-01-26
Mått:155 x 235 x 20 mm
Vikt:534 g
Format:Häftad
Språk:Engelska
Serie:Intelligent Systems Reference Library
Antal sidor:336
Förlag:Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN:9783642430930

Utforska kategorier

Databaser inom Data och IT
Artificiell intelligens inom Data och IT

Innehållsförteckning

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.