Frequent Itemset Mining Using Transaction Splitting

Authors

  • 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

Keywords:

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

Abstract

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.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2017-04-30

Issue

Volume 2, Issue 2, March-April-2017

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
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.