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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
| seminar report on temporal association rules for healthcare database,
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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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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
| paper about compression using clustering and association rules,
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sir,
thanks for sharing KnowledgeBased Interactive Postmining of Association Rules Using Ontologies code ....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
| disseratation report on mining weighted association rules without preassigned weights,
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need a project in datamining:hiding sensitive association rule using clusters of sensitive association rule ....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
| privacy preserving association rules by using greedy approach pdf,
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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: 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
| ppt of an improved algorithm with key attributes constraint for mining interesting association rules in networking log,
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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: 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
| mining association rules from xml data using xquery disadvantages,
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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: HARDWARE ENHANCED ASSOCIATION RULE MINING WITH HASHING AND PIPELINING - KNOWLEDGE AN
Page Link: HARDWARE ENHANCED ASSOCIATION RULE MINING WITH HASHING AND PIPELINING - KNOWLEDGE AN -
Posted By: narasimham
Created at: Thursday 17th of August 2017 08:30:41 AM
| knowledge based interactive postmining of association rules using ontologies doc,
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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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Title: Project idea on Evaluating the generation of Domain Ontologies in Knowledge
Page Link: Project idea on Evaluating the generation of Domain Ontologies in Knowledge -
Posted By: laiju
Created at: Thursday 17th of August 2017 07:59:19 AM
| domain knowledge on retail industry pdf,
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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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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
| code for a hierarchical pattern based clustering algorithm for grouping web transactions,
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Report and ppt for validation of mining association rules with hierarchical clustering ....etc
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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
| knowledge based interactive postmining of association rules using ontologies code,
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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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