RIP Technique for Frequent Itemset Mining

Author:

Agrawal Shorya1

Affiliation:

1. GLA University, Mathura, U.P., India

Abstract

Publisher

IGI Global

Reference23 articles.

1. Adnan, Muhaimenul, Alhajj, Reda, & Barker K. (2006). TFP alternative method for incrementally constructing the fp-tree, Intelligent systems, 2006 3rd international ieee conference on, 494 – 498.

2. Adnan, M., Alhajj, R., & Barker, K. (2005). Performance analysis of incremental update of association rules mining approaches, Proc. of ieee international conference on intelligent engineering systems, Greece.

3. Adnan, M., Alhajj, R., & Barker, K. (2006). Constructing complete fp-tree for incremental mining of frequent patterns in dynamic databases, Proc. of the international conference on industrial & engineering applications of artificial intelligence & expert systems, Springer-Verlag LNCS, Annecy, france.

4. A Tree Projection Algorithm for Generation of Frequent Item Sets

5. Agrawal, R., Imielinski, T., & Swami, A. (1993). Mining association rules between sets of items in large databases, Proc. acm sigmod int’l conf. management of data, 207-216.

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