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MICF: An effective sanitization algorithm for hiding sensitive patterns on data mining

Yu-Chiang Li, Jieh-Shan Yeh, Chin-Chen Chang
<span title="">2007</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/jjncpntwzzhwvdgo4fxfwndiwy" style="color: black;">Advanced Engineering Informatics</a> </i> &nbsp;
To address this challenging problem, this study proposes the Maximum Item Conflict First (MICF) algorithm.  ...  Sharing data or sharing mined rules has become a trend among business partnerships, as it is perceived to be a mutually benefit way of increasing productivity for all parties involved.  ...  Acknowledgements The authors would like to acknowledge the helpful comments made by the anonymous reviewers of this paper and thank Blue Martini Software, Inc. for kindly providing the BMS datasets.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.aei.2006.12.003">doi:10.1016/j.aei.2006.12.003</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/eg7rno5wqfb67lhmgcp5jvlewe">fatcat:eg7rno5wqfb67lhmgcp5jvlewe</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170810055534/http://faculty.stust.edu.tw/~lyc002/lyc/Draft/IJ04%20Draft.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/a8/fb/a8fbbb1f795088c9f4623ff9d312f89996b6c735.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.aei.2006.12.003"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

A Novel Approach of Data Sanitization using Privacy Preserving Data Mining

Ashish Chouhan, Poonam Sinha, Sunita Gond
<span title="2015-06-29">2015</span> <i title="ESRSA Publications Pvt. Ltd."> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3j6n6lpsjndinobmibtprywohe" style="color: black;">International Journal of Engineering Research and</a> </i> &nbsp;
One of the existing privacy preserving utility mining and two algorithms, HHUIF (Hiding High utility item First Algorithm) and MSICF (Maximum Sensitive ItemsetsConict First algorithm), to conceal the sensitive  ...  The work also minimizes the impact on the sanitized database of  ...  Li, Yeh and Chang [5] have proposed a MICF: An effective sanitization algorithm, in order to conceal restrictive itemsets (patterns) contained in the source database, a sanitization process transforms  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.17577/ijertv4is061018">doi:10.17577/ijertv4is061018</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/caaqvzbvqffnbmzd2iqcwohqmy">fatcat:caaqvzbvqffnbmzd2iqcwohqmy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200324052646/https://www.ijert.org/research/a-novel-approach-of-data-sanitization-using-privacy-preserving-data-mining-IJERTV4IS061018.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/b4/bd/b4bd0522a62c1c8f893767f85cc3c9e481f9c17e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.17577/ijertv4is061018"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Association Rules Hiding for Privacy Preserving Data Mining: A Survey

Gehad Ahmed, Laila Abd_Ellatif, Ahmed Sharaf
<span title="2016-09-22">2016</span> <i title="Foundation of Computer Science"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/b637noqf3vhmhjevdfk3h5pdsu" style="color: black;">International Journal of Computer Applications</a> </i> &nbsp;
PPDM) privacy preserving data mining is recent advanced research in (DM) data mining field; Many efficient and practical techniques have been proposed for hiding sensitive patterns or information from  ...  and may provide business competitors with an advantage, thus the hiding of association rules is the most important point in (PPDM) privacy preserving data mining for protecting sensitive and crucial data  ...  Side Effects (SE) of Association Rule Hiding (ARH) Also the process of sanitization data is very important for Privacy of sensitive rules, it have some side effects (SE) on the non sensitive rules that  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5120/ijca2016911664">doi:10.5120/ijca2016911664</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qiwbufhrn5d77jzh62r77am6cm">fatcat:qiwbufhrn5d77jzh62r77am6cm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180602230436/https://www.ijcaonline.org/archives/volume150/number12/el_aleem-2016-ijca-911664.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/47/df/47dfef0508ae36f5ba05c5580cae9fb96a5489d9.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5120/ijca2016911664"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Privacy Preserving Utility Mining: A Survey [article]

Wensheng Gan, Jerry Chun-Wei Lin, Han-Chieh Chao, Shyue-Liang Wang,, Philip S. Yu
<span title="2018-11-18">2018</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Finally, we highlight and discuss some technical challenges and open directions for future research on PPUM.  ...  However, analysis of these data with sensitive private information raises privacy concerns.  ...  Since sensitive itemset usually contains more than one item, Li et al. proposed the MICF (maximum item conflict first) [47] algorithm to hide sensitive patterns.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1811.07389v1">arXiv:1811.07389v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/upooi44vzretxavpkp2lie735i">fatcat:upooi44vzretxavpkp2lie735i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200829201433/https://arxiv.org/pdf/1811.07389v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/45/da/45dad58b745e02b54478380126abbc0788c9fe4c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1811.07389v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Classification of Privacy Preserving Data Mining Algorithms: A Review

Dedi Gunawan
<span title="2020-12-31">2020</span> <i title="Indonesian Institute of Sciences"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/mf2nekhjhfgvxntautvzxllqby" style="color: black;">Jurnal Elektronika dan Telekomunikasi</a> </i> &nbsp;
Realizing the fact that performing data mining tasks using some available data mining algorithms may disclose sensitive information of data subject in the databases, an action to protect privacy should  ...  Therefore, privacy preserving data mining (PPDM) is becoming an emerging field of study in the data mining research group.  ...  Another heuristic technique for hiding sensitive frequent itemset also has been proposed in [49] namely Maximum Item Conflict First (MICF).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14203/jet.v20.36-46">doi:10.14203/jet.v20.36-46</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/duzdr7ksurfbnc57jmnibcbezi">fatcat:duzdr7ksurfbnc57jmnibcbezi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210218234319/https://www.jurnalet.com/jet/article/download/367/312" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/90/ea/90ea8a2f661706257c79fe20d66058a7b28d927d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14203/jet.v20.36-46"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

A Link-Based Method for Hiding Sensitive Patterns on Data Mining

Yu-Chiang Li, Chien-Ting Huang
<span title="2010-07-12">2010</span> <i title="Global Science and Technology Forum"> Proceedings of the Annual International Academic Conference on Business Intelligence and Data Warehousing </i> &nbsp; <span class="release-stage">unpublished</span>
The challenge is to modify the data in order to protect the sensitive individual information while maintaining the data mining capability.  ...  This article proposes a link-based model for effective association rule hiding that reduces the unexpected loss of association rules, which is called the side effect or misses cost.  ...  The experimental result demonstrates that the proposed LBHA method is an effective sanitization algorithm.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5176/978-981-08-6308-1_40">doi:10.5176/978-981-08-6308-1_40</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ajmguee2ybfnfe77z5exewffx4">fatcat:ajmguee2ybfnfe77z5exewffx4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20110409222503/http://www.globalstf.org:80/docs/proceedings/bidw-damd/40.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/f0/82/f082ca2156fd426eb1a5f27f9d83ec7f96833195.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5176/978-981-08-6308-1_40"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>