Open access peer-reviewed chapter

Mining Frequent Itemsets over Recent Data Stream Based on Genetic Algorithm

By Zhou Yong, Han Jun and Guo He

Submitted: June 20th 2011Reviewed: November 14th 2011Published: March 7th 2012

DOI: 10.5772/38445

Downloaded: 2192

© 2012 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution 3.0 License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to cite and reference

Link to this chapter Copy to clipboard

Cite this chapter Copy to clipboard

Zhou Yong, Han Jun and Guo He (March 7th 2012). Mining Frequent Itemsets over Recent Data Stream Based on Genetic Algorithm, Bio-Inspired Computational Algorithms and Their Applications Shangce Gao, IntechOpen, DOI: 10.5772/38445. Available from:

Embed this chapter on your site Copy to clipboard

<iframe src="http://www.intechopen.com/embed/bio-inspired-computational-algorithms-and-their-applications/mining-frequent-itemsets-over-recent-data-stream-based-on-genetic-algorithm" />

Embed this code snippet in the HTML of your website to show this chapter

chapter statistics

2192total chapter downloads

1Crossref citations

More statistics for editors and authors

Login to your personal dashboard for more detailed statistics on your publications.

Access personal reporting

Related Content

This Book

Bio-Inspired Computational Algorithms and Their Applications

Edited by Shangce Gao

Next chapter

Optimal Design of Power System Controller Using Breeder Genetic Algorithm

By K. A. Folly and S. P. Sheetekela

Related Book

First chapter

Traveling Salesman Problem: an Overview of Applications, Formulations, and Solution Approaches

By Rajesh Matai, Surya Singh and Murari Lal Mittal

We are IntechOpen, the world's leading publisher of Open Access books. Built by scientists, for scientists. Our readership spans scientists, professors, researchers, librarians, and students, as well as business professionals. We share our knowledge and peer-reveiwed research papers with libraries, scientific and engineering societies, and also work with corporate R&D departments and government entities.

+3,550 Open Access Books

+57,400 Citations in Web of Science

+108,500 IntechOpen Authors and Academic Editors

+560,000 Unique visitors per month

More about us