Data Mining: Innovative and Efficient Techniques - Softcover

Dhaliwal, Dalvinder Singh

Softcover

ISBN 10: 3659291544 ISBN 13: 9783659291548

Publisher: LAP LAMBERT Academic Publishing, 2012

Synopsis

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.

About this title

About the Author

Dr. DS Dhaliwal received his PhD in Computer Science & Engineering from Punjab Technical University, India. He is Professor in Computer Science & Engineering Department at BGIET, Sangrur, India. He is member of advisory board of International Journal of Computing and Business Research. Presently 12 scholars are doing PhD under his guidance.

Edition details

• Publisher: LAP LAMBERT Academic Publishing
• Publication date: 2012
• Language: English
• ISBN 10: 3659291544
• ISBN 13: 9783659291548
• Binding: Paperback
• Number of pages: 164