Effective Algorithm to Find The Frequency Item Sets Using Datamining.

Authors

  • Pandiammal R Department of Computer Applications, Nehru Arts and Science College, Coimbatore, Tamilnadu, India
  • Kavitha N Department of Computer Science, Nehru Arts and Science College, Coimbatore, Tamilnad, India

Keywords:

item set, frequent item set mining, differential privacy

Abstract

Now a day when we transfer the data, we are using private frequency item sets mining algorithm. It has 2 phases that are pre-processing and mining phase. This algorithm is used for utility, privacy and efficiency the frequency item set is planned which is based on frequency pattern growth algorithm. In pre processing phase consists to improve the privacy, utility and novel smart splitting to transpose database. The mining phase consists to offset the information lost during the transformation splitting information and calculate the runtime estimate for actual support of item set in a given data base . Further the dynamic noise reduction technique is used to reduce the noise at the time of mining phase

References

[1] Shailza Chaudhary, Pardeep Kumar, Abhilasha Sharma, Ravideep Singh, "Lexicographic Logical Multi-Hashing For Frequent Itemset Mining", International Conference on Computing, Communication and Automation (ICCCA2015)

[2] Lei Xu, Chunxiao Jiang, Jian Wang, Jian Yuan, Yong Ren,"Information Security in Big Data: Privacy and Data Mining", 2014 VOLUME 2, IEEE 29th International Conference on Information Security in Big Data

[3] O.Jamsheela, Raju.G, "Frequent Itemset Mining Algorithms :A Literature Survey", 2015 IEEE International Advance Computing Conference (IACC)

[4] Feng Gui, Yunlong Ma, Feng Zhang, Min Liu, Fei Li, Weiming Shen, Hua Bai, "A Distributed

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Published

2025-11-24

How to Cite

[1]
R. Pandiammal and N. Kavitha, “Effective Algorithm to Find The Frequency Item Sets Using Datamining”., Int. J. Comp. Sci. Eng., vol. 7, no. 2, pp. 44–46, Nov. 2025.

Issue

Vol. 7 No. 2 (2019): IJCSE Special Issue Jan Edition

Section

Research Article

License

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