Journal ArticleDOI
Fuzzy based clustering algorithm for privacy preserving data mining
Pradeep Kumar,Kishore Indukuri Varma,Ashish Sureka +2 more
- Vol. 7, Iss: 1, pp 27-40
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TLDR
This paper addresses the problem of PPDM by transforming the attributes to fuzzy attributes, and the individual privacy is also maintained, as one cannot predict the exact value, at the same time, better accuracy of mining results is achieved.Abstract:
Sharing of data among multiple organisations is required in many situations. The shared data may contain sensitive information about individuals which if shared may lead to privacy breach. Thus, maintaining the individual privacy is a great challenge. In order to overcome the challenges involved in data mining, when data needs to be shared, privacy preserving data mining (PPDM) has evolved as a solution. The objective of PPDM is to have the interesting knowledge mined from the data at the same time to maintain the individual privacy. This paper addresses the problem of PPDM by transforming the attributes to fuzzy attributes. Thus, the individual privacy is also maintained, as one cannot predict the exact value, at the same time, better accuracy of mining results is achieved. ID3 and Naive Bayes classification algorithms over three different datasets are used in the experiments to show the effectiveness of the approach.read more
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A self adaptive harmony search based functional link higher order ANN for non-linear data classification
TL;DR: A novel approach of hybridization of higher order neural network (Functional link higher order artificial neural network) with self adaptive harmony search (SAHS) based gradient descent learning (GDL) for non-linear data classification problem.
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Evaluating and ranking hotels offering e-service by integrated approach of Webqual and fuzzy AHP
TL;DR: Evaluated hotels offering electronic services e-services by integrated approach of Webqual and fuzzy analytic hierarchy process FAHP indicate that quality of information has the highest priority; and usability dimensions and services interaction are the next priorities.
Journal ArticleDOI
Mining social network data for personalisation and privacy concerns: a case study of Facebook's Beacon
TL;DR: A qualitative investigation of 95 blogs containing 568 comments was collected during the failed launch of Beacon, a third party marketing initiative by Facebook and thematic analysis resulted in the development of taxonomy of privacy concerns which offers a concrete means for online businesses to better understand SNS business landscape.
Journal ArticleDOI
Data mining privacy preserving: Research agenda
TL;DR: The current trends, techniques, and methods that are being used in the privacy‐preserving data mining field are identified to make a clear and concise classification of the PPDM techniques and techniques with possibly identifying new methods and techniques that were not included in the previous classification.
Journal ArticleDOI
An illustration to secured way of data mining using privacy preserving data mining
TL;DR: A simple mathematical approach for privacy preserving data mining which is applicable for a number of sites, sharing data on distributed database environment is discussed.
References
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C4.5: Programs for Machine Learning
TL;DR: A complete guide to the C4.5 system as implemented in C for the UNIX environment, which starts from simple core learning methods and shows how they can be elaborated and extended to deal with typical problems such as missing data and over hitting.
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Pattern Recognition with Fuzzy Objective Function Algorithms
TL;DR: Books, as a source that may involve the facts, opinion, literature, religion, and many others are the great friends to join with, becomes what you need to get.
Journal ArticleDOI
State-of-the-art in privacy preserving data mining
Vassilios S. Verykios,Elisa Bertino,Igor Nai Fovino,Loredana Parasiliti Provenza,Yucel Saygin,Yannis Theodoridis +5 more
TL;DR: An overview of the new and rapidly emerging research area of privacy preserving data mining is provided, and a classification hierarchy that sets the basis for analyzing the work which has been performed in this context is proposed.
Journal ArticleDOI
Practical data-oriented microaggregation for statistical disclosure control
TL;DR: In this paper, candidate optimal solutions to the multivariate and univariate microaggregation problems are characterized and two heuristics based on hierarchical clustering and genetic algorithms are introduced which are data-oriented in that they try to preserve natural data aggregates.
Book
Privacy-Preserving Data Mining: Models and Algorithms
Charu C. Aggarwal,Philip S. Yu +1 more
TL;DR: Privacy-Preserving Data Mining: Models and Algorithms proposes a number of techniques to perform the data mining tasks in a privacy-preserving way and is designed for researchers, professors, and advanced-level students in computer science.