Frequent Itemset Mining Using Transaction Splitting

Authors(5) :-Vasifa Iqbal Mujawar, Sonali Baliram Goral, Shruti Sharad Patil, Shivali Yuvaraj Sawant, Teja Suresh Chandanshive

Frequent itemsets mining (FIM) is a popular data mining technique and used in many important data mining tasks. To provide high data utility and privacy a new system is proposed in this paper which is divided into two phases. First phase takes database as an input, which consists of multiple transactions performed by different users, uses smart splitting method to limit the length of each transaction, and creates transformed database. Using this transformed database and threshold value next phase generates frequent itemsets.

Authors and Affiliations

Vasifa Iqbal Mujawar
Department of Computer Sciences, SBGI, Miraj, Maharashtra, India
Sonali Baliram Goral
Department of Computer Sciences, SBGI, Miraj, Maharashtra, India
Shruti Sharad Patil
Department of Computer Sciences, SBGI, Miraj, Maharashtra, India
Shivali Yuvaraj Sawant
Department of Computer Sciences, SBGI, Miraj, Maharashtra, India
Teja Suresh Chandanshive
Department of Computer Sciences, SBGI, Miraj, Maharashtra, India

Frequent Itemset Mining(FIM), Transaction Database, User specified threshold

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Publication Details

Published in : Volume 2 | Issue 2 | March-April 2017
Date of Publication : 2017-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 116-117
Manuscript Number : CSEIT172235
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Vasifa Iqbal Mujawar, Sonali Baliram Goral, Shruti Sharad Patil, Shivali Yuvaraj Sawant, Teja Suresh Chandanshive, "Frequent Itemset Mining Using Transaction Splitting", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 2, pp.116-117, March-April.2017
URL : http://ijsrcseit.com/CSEIT172235

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