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Title: code for knowledge based interactive postmining of association rules using ontologie
Page Link: code for knowledge based interactive postmining of association rules using ontologie -
Posted By: prem9823
Created at: Thursday 17th of August 2017 06:39:23 AM
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Title: An Adaptive Algorithm for Incremental Mining of Association Rules
Page Link: An Adaptive Algorithm for Incremental Mining of Association Rules -
Posted By: bijoshmohan
Created at: Thursday 05th of October 2017 05:13:39 AM
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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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Title: association rules management decision
Page Link: association rules management decision -
Posted By: niky.siva
Created at: Friday 06th of October 2017 03:09:05 PM
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Title: Hiding Sensitive Association Rules with Limited Side Effects
Page Link: Hiding Sensitive Association Rules with Limited Side Effects -
Posted By: throttle
Created at: Thursday 17th of August 2017 08:21:05 AM
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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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Title: Privacy Preserving Association Rules by Using Greedy Approach
Page Link: Privacy Preserving Association Rules by Using Greedy Approach -
Posted By: pravy.mdu
Created at: Thursday 05th of October 2017 04:59:37 AM
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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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Title: similarity profiled temporal association mining
Page Link: similarity profiled temporal association mining -
Posted By: neo
Created at: Thursday 17th of August 2017 04:32:21 AM
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Title: Optimized Distributed Association Rule Mining
Page Link: Optimized Distributed Association Rule Mining -
Posted By: Rajkumar
Created at: Thursday 17th of August 2017 04:44:05 AM
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Optimized Distributed Association Rule Mining
IEE Distributed Systems online Vol. 5, No. 3, March 2004
Language: Java

Abstract:
Association rule mining is an active data mining research area. However, most ARM algorithms cater to a centralized environment. In contrast to previous ARM algorithms, ODAM is a distributed algorithm for geographically distributed data sets that reduces communication costs. Modern organizations are geographically distributed. Typically, each site locally stores its ever-increasing amount of day-to-day da ....etc

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Title: validation of mining association rules with hierarchical clustering
Page Link: validation of mining association rules with hierarchical clustering -
Posted By: sreeraju
Created at: Thursday 05th of October 2017 05:30:23 AM
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Title: Mining Weighted Association Rules without Preassigned Weights
Page Link: Mining Weighted Association Rules without Preassigned Weights -
Posted By: SHAFIN
Created at: Thursday 17th of August 2017 08:20:07 AM
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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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Title: hiding sensitive association rules with limited side effects source code
Page Link: hiding sensitive association rules with limited side effects source code -
Posted By: vikrant kr. dubey
Created at: Friday 06th of October 2017 03:10:50 PM
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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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