Hiding Sensitive Association Rules with Limited Side Effects

Abstract:
Data mining techniques have been widely used in various applications. However, the misuse of these techniques may lead to the disclosure of sensitive information. Researchers have recently made efforts at hiding sensitive association rules. Nevertheless, undesired side effects, e.g., non-sensitive rules falsely hidden and spurious rules falsely generated may be produced in the rule hiding process. In this paper, we present a nov ....etc

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Mining Weighted Association Rules without Preassigned Weights- IEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, VOL. 20, NO. 4, JAVA
Abstract
Association rule mining is a key issue in data mining. However, the classical models ignore the difference between the transactions, and the weighted association rule mining does not work on databases with only binary attributes. In this paper, we introduce a new measure w-support, which does not require preassigned weights. It takes the quality of transactions into consideration using link ....etc

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Report and ppt for validation of mining association rules with hierarchical clustering ....etc

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Abstract
The association rules represent an important class of knowledge that can be discovered from data warehouses. Current research efforts are focused on inventing efficient ways of discovering these rules from large databases. As databases grow, the discovered rules need to be verified and new rules need to be added to the knowledge base. Since mining afresh every time the database grows is inefficient, algorithms for incremental mining are being investigated. Their primary aim is to avoid or minimize scans of the older database b ....etc

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Privacy Preserving Association Rules by Using Greedy Approach



Introduction
In the data mining, the most well-known method is the
Apriori algorithm. Since the Apriori algorithm is costly to find
candidate itemsets, there are many variants of Apriori that
differ in how they check candidate itemsets against the
database . For example, Zaki et al. presented the
algorithms MaxEclat and CHARM for identifying maximal
frequent itemsets. Furthermore, in employed an effic ....etc

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to get information about the topic hiding sensitive association rules with limited side effects source code full report ppt and related topic refer the page link bellow

http://seminarsprojects.net/Thread-hiding-sensitive-association-rules-with-limited-side-effects

http://seminarsprojects.net/Thread-a-novel-algorithm-for-hiding-sensitive-frequent-itemsets?pid=7689&mode=threaded ....etc

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need a project in datamining:hiding sensitive association rule using clusters of sensitive association rule ....etc

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sir,
thanks for sharing KnowledgeBased Interactive Postmining of Association Rules Using Ontologies code ....etc

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Ontologies in an interestin domain and the attached file gives an idea to do project on Evaluating the generation of Domain Ontologies in Knowledge ....etc

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HARDWARE ENHANCED ASSOCIATION RULE MINING WITH HASHING AND PIPELINING - KNOWLEDGE AND DATA ENGINEERING

Data mining techniques have been widely used in various applications. One of the most important data mining applications is association rule mining.

Apriori-based association rule mining in hardware, one has to load candidate item sets and a database into the hardware.

Since the capacity of the hardware architecture is fixed, if the number of candidate item sets or the number of items in the database is larger than the hardware capa ....etc

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