Downloads: 116 | Views: 243
M.Tech / M.E / PhD Thesis | Computer Science & Engineering | India | Volume 5 Issue 6, June 2016 | Popularity: 6.8 / 10
FIM-Anonymizing Using Tree Structured Data
Rabitha T, Farzin Ahammed T
Abstract: FIM-anonymizing using tree structured data study about the problem of protecting privacy in the publication of set-valued data. Considering a collection of supermarket transactional data that contains detailed information about items bought together by individuals. Even after removing all personal characteristics of the buyer, which can serve as a link to his identity, thus resulting to privacy attacks from adversaries who have partial knowledge about the set. Depending upon the point of view of the adversaries. We define a new version of the k-anonymity guarantee. Our anonymization model relies on generalization instead of suppression. We develop an algorithm which find the frequent item set. The frequent-itemsets problem is that of nding sets of items that appear in (are related to) many of the same dataset. .
Keywords: Anonymity, generalization, information loss, synopsis tree, frequent item set mining
Edition: Volume 5 Issue 6, June 2016
Pages: 1600 - 1604
Make Sure to Disable the Pop-Up Blocker of Web Browser
Similar Articles
Downloads: 104
Research Paper, Computer Science & Engineering, India, Volume 5 Issue 8, August 2016
Pages: 1454 - 1457A Reliable Method for Accuracy Constrained Privacy Preservation for Relational Data
Waghmare Ashwini R, V. M. Jarali
Downloads: 105
M.Tech / M.E / PhD Thesis, Computer Science & Engineering, India, Volume 4 Issue 4, April 2015
Pages: 1546 - 1551Mining Frequent Item Set Using Cluster Approach from Large Uncertain Database
Naveen Sarawgi, C. Malathy
Downloads: 108
M.Tech / M.E / PhD Thesis, Computer Science & Engineering, India, Volume 3 Issue 9, September 2014
Pages: 568 - 571Efficient Retrieval of Face Image from Large Scale Database Using Sparse Coding and Reranking
P. Greeshma, K. Palguna Rao
Downloads: 115
Research Paper, Computer Science & Engineering, India, Volume 3 Issue 10, October 2014
Pages: 764 - 767Fuzzy and Rough Set Theory Based Gene Selection Method
C. Kalaiselvi, Dr. G. M. Nasira
Downloads: 116
Survey Paper, Computer Science & Engineering, India, Volume 3 Issue 10, October 2014
Pages: 1676 - 1680A Survey on Big Data Mining Algorithms
S. Sivasankar, T. Prabhakaran