Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Analysis of Cognitive Skill level of Students by Fuzzy FP Tree Growth Association to identify Frequent Pattern Mining

Author : D. Kalpanadevi 1 Dr. M. Mayilvaganan 2

Date of Publication :7th April 2018

Abstract: In this research, focuses on using fuzzy partition method and triangular membership function of quantitative value for each transaction item, for the generation of more realistic association using fuzzy intervals among quantitative attribute. Secondly, to implement Frequent Pattern Tree growth for deal with the process of data mining to analyze the frequent pattern item. The performance of cognitive skill of knowledge can be analyzed by the categories of logical Reasoning, Numerical Ability, and Perceptual Speed of ability and relates with parents’ education, Standard of Medium study gender and specialty.

Reference :

    1. Jiwei Han, Jian Pei, Yiwen Yen and Runying Mao: “Mining Frequent Patterns without Candidate Generation: A Frequent-Pattern Tree Approach, Data Mining and Knowledge Discovery, 8, 53–87, 2004, 2004 Kluwer Academic Publishers
    2. H. M. Sajedul Hoque, Sujit Kumar Mondol, Tassnim Manami Zaman, Dr. Paresh Chandra Barman, Dr. Md. AlAmin Bhuiyan, “Implication of Association Rules Employing FP-Growth Algorithm for Knowledge Discovery”, 14th International Conference on Computer and Information Technology 2011 (ICCIT 2011), 22-24 December, Dhaka, Bangladesh.
    3. Rakesh Agrawal; Tomasz Imielinski and Arun N. Swami, “Mining Association Rules Between Sets of Items in Large Databases”, Proceedings of the 1993 ACM SIGMOD International Conference on Management of Data, pp. 207- 216, Washington, D.C., May 1993.
    4. Hu Y. C,. “Mining association rules at a concept hierarchy using fuzzy partition,” Journal of Information Management, Vol. 13, no.3, pp.63-80, 2006

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