LNCS 2834 Parallel Algorithm for Mining Maximal Frequent Patterns 1st edition by Hui Wang, Zhiting Xiao, Hongjun Zhang, Shengyi Jiang ISBN 3540200541 978-3540200543

 LNCS 2834 – Parallel Algorithm for Mining Maximal Frequent Patterns 1st edition by Hui Wang, Zhiting Xiao, Hongjun Zhang, Shengyi Jiang – Ebook PDF Instant Download/Delivery. 3540200541 978-3540200543
Full download  LNCS 2834 – Parallel Algorithm for Mining Maximal Frequent Patterns 1st edition after payment

Product details:

ISBN 10: 3540200541 
ISBN 13: 978-3540200543
Author:   Hui Wang, Zhiting Xiao, Hongjun Zhang, Shengyi Jiang

LNCS 2834 – Parallel Algorithm for Mining Maximal Frequent Patterns (1st Edition) by Hui Wang, Zhiting Xiao, Hongjun Zhang, and Shengyi Jiang is part of the Lecture Notes in Computer Science (LNCS) series, published by Springer in 2003. This book focuses on a parallel algorithm for mining maximal frequent patterns from large datasets, a key problem in data mining and knowledge discovery.

Data mining involves discovering patterns, trends, and relationships within large datasets. One important task in data mining is the extraction of frequent patterns—patterns that appear frequently in a dataset. These patterns are useful in various applications such as market basket analysis, fraud detection, and recommendation systems. The book specifically deals with the mining of maximal frequent patterns, which are patterns that are frequent and cannot be extended by adding more items without losing their frequency.

Given the large scale of modern datasets, the book emphasizes parallel processing techniques to improve the efficiency of frequent pattern mining, making it possible to handle massive datasets that would be impractical for traditional single-threaded algorithms.

 LNCS 2834 – Parallel Algorithm for Mining Maximal Frequent Patterns 1st Table of contents:

Architecture

Software and Theory

Grid and Network

Applied Technologies

Editors and Affiliations

Bibliographic Information

People also search for  LNCS 2834 – Parallel Algorithm for Mining Maximal Frequent Patterns 1st:

parallel mining algorithms

parallel minimum spanning tree

parallel-frequent-pattern-mining

parallel algorithms limit

parallel data mining algorithms