Data Mining: Foundations and Intelligent Paradigms

Volume 1: Clustering, Association and Classification

Häftad, Engelska, 2014

Av Dawn E. Holmes, Lakhmi C Jain, Lakhmi C. Jain

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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

Utgivningsdatum2014-01-26
Mått155 x 235 x 20 mm
Vikt534 g
FormatHäftad
SpråkEngelska
SerieIntelligent Systems Reference Library
Antal sidor336
FörlagSpringer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN9783642430930

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Artificiell intelligens inom Data och it
Databaser inom Data och it

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.