Data Mining: Foundations and Intelligent Paradigms - Volume 1: Clustering, Association and Classification

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.

List 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.

Summary

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.
 

Product details

• Assisted by: C Jain (Editor), C Jain (Editor), Daw E Holmes (Editor), Dawn E Holmes (Editor), Dawn E. Holmes (Editor), Lakhmi C Jain (Editor), Lakhmi C. Jain (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 09.12.2013
• EAN: 9783642430930
• ISBN: 978-3-642-43093-0
• No. of pages: 336
• Dimensions: 158 mm x 235 mm x 18 mm
• Weight: 534 g
• Illustrations: XVI, 336 p.
• Series: Intelligent Systems Reference Library; Intelligent Systems Reference Library
• Subjects: Natural sciences, medicine, IT, technology > Technology > General, dictionaries; C, Artificial Intelligence, engineering, Computational Intelligence, Computational Intelligence;Data Mining;Intelligent Paradigms