Data Mining: Foundations And Intelligent Paradigms: Volume 1: Clustering, Association And Classification by Dawn E. HolmesData Mining: Foundations And Intelligent Paradigms: Volume 1: Clustering, Association And Classification by Dawn E. Holmes

Data Mining: Foundations And Intelligent Paradigms: Volume 1: Clustering, Association And…

byDawn E. HolmesEditorLakhmi C Jain

Paperback | January 26, 2014

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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.

 

Title:Data Mining: Foundations And Intelligent Paradigms: Volume 1: Clustering, Association And…Format:PaperbackDimensions:336 pagesPublished:January 26, 2014Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3642430937

ISBN - 13:9783642430930

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Table of Contents

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.