Data Mining : Innovative and Efficient Techniques

Language: English

Published by LAP Lambert Academic Publishing, 2012

3659291544 / 9783659291548

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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nach der Bestellung gedruckt Neuware - Printed after ordering - Data mining is the process of automatically extracting new and useful knowledge hidden in large datasets. This book focuses on the enhancement of following three data mining techniques for achieving the better mining results: Association Rule Mining (ARM), Clustering Classification In Association Rule Mining (ARM), two algorithms known as Apriori algorithm and FP-Growth algorithm have been enhanced for better mining results. An efficient partitional clustering algorithm utilizing the well-known technique, k-means clustering is proposed in this book to tackle the problem of empty clusters. Classification operation usually uses supervised learning methods that induce a classification model from a database. The k-Nearest Neighbor (k-NN) is one of the simplest classification methods used in data mining and machine learning. in this book, the proposed algorithm improved the performance of conventional k-NN algorithm by identifying the optimal value of k.…

Seller Inventory # 9783659291548

Title
Data Mining : Innovative and Efficient Techniques
Author
Dalvinder Singh Dhaliwal
Publisher
LAP Lambert Academic Publishing
Publication year
2012
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3659291544
ISBN 13
9783659291548
Item weight
234 grams
Dimensions
220x150x8 mm

AHA-BUCH GmbH

Einbeck, Germany

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