Improved Algorithm for Frequent Itemsets Mining Based on Apriori and FP-Tree
Keywords:
data mining, correlation, correlation coefficient
Abstract
Frequent itemset mining plays an important role in association rule mining. The Apriori
Downloads
- Article PDF
- TEI XML Kaleidoscope (download in zip)* (Beta by AI)
- Lens* NISO JATS XML (Beta by AI)
- HTML Kaleidoscope* (Beta by AI)
- DBK XML Kaleidoscope (download in zip)* (Beta by AI)
- LaTeX pdf Kaleidoscope* (Beta by AI)
- EPUB Kaleidoscope* (Beta by AI)
- MD Kaleidoscope* (Beta by AI)
- FO Kaleidoscope* (Beta by AI)
- BIB Kaleidoscope* (Beta by AI)
- LaTeX Kaleidoscope* (Beta by AI)
How to Cite
Dr. Sujatha Dandu, B.L.Deekshatulu, & Priti Chandra. (2013). Improved Algorithm for Frequent Itemsets Mining Based on Apriori and FP-Tree. Global Journal of Computer Science and Technology, 13(C2), 13–16. Retrieved from https://computerresearch.org/index.php/computer/article/view/323
Published
2013-01-15
Issue
Section
Articles
License
Copyright (c) 2013 Authors and Global Journals Private Limited
This work is licensed under a Creative Commons Attribution 4.0 International License.