[PDF] Top 20 Research and Application on Hybrid weighted Association Rule Algorithm

Research and Application on Hybrid weighted Association Rule Algorithm

... mining algorithm without weight[2], which generated a certain amount of redundant rules, the horizontal-weighted algorithm[3] did not consider the time characteristics of ...new weighted ... See full document

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Review of Web Recommendation System and Its Techniques: Future Road Map

... Now days accessing of web data is daily used process in end user life. The log data is generated in which each end user attempts are collected over the web server. Such web log data having the customer address, customer ... See full document

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Network Intrusion Detection with a Hashing Based Apriori Algorithm Using Hadoop MapReduce

... though they may not be the all-in-all solution to all penetration threats and vulnerabilities, regular IDS can serve the purpose of ensuring that our system is secure to an appreciable level [7]. While the IDS are a ... See full document

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Tree Approach To Mine Frequent Pattern In Association Using Apriori Algorithm

... explore the databases completely and efficiently. Knowledge discovery in databases (KDD) helps to identifying precious information in such huge databases. This valuable information can help the decision maker to make ... See full document

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THE COMPARATIVE ANALYSIS OF ROAD ACCIDENT DATA USING DATA MINING TECHNIQUES Dr. B.G.Geetha 1, Abinaya.N2 , Abirami Sivasakthi.M 3 Aishwarya.T 4

... data research. Association rule mining , one kind of data mining algorithms, becomes more and more popular these ...analysis, association rules like ―the customers who buy beer are likely to ... See full document

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A Heart Disease Prediction Model using Association Rule Mining Technique

... the association rule mining using apriori ...Apriori algorithm is one the most used technique of finding frequent ...Apriori algorithm with an example of the supermarket. Rule ... See full document

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Weighted Association Rule Mining Without Pre-assigned Weights

... ssociation rule mining aims to explore large transaction databases for association rules, which may reveal the implicit relationships among the data ...thriving research topic in data mining and has ... See full document

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Efficiently Generating The Rank Based Weighted Association Rule Mining Using Apriori Algorithm In High Biological Database

... Apriori algorithm is implemented to handle the huge gene database ...this research, the gene database which includes Sequence Name, mcg, gvh, lip, chg, aac, alm1, alm2are ...T-Apriori algorithm to ... See full document

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A Hybrid Web Recommendation System Based on the Improved Association Rule Mining Algorithm

... i.e. association rule mining ...in association rule mining method the weight of the page is also ...called weighted association rule ... See full document

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Estimation of Evolutionary Optimization Algorithm for Association Rule using Spatial Data Mining

... by Association Rule Mining (Apriori method) [1] use hybrid evolutionary ...This research paper present a novel hybrid evolutionary algorithm (HEA) [2] which uses particle swarm ... See full document

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Enhancement of Marketing Strategies using Weighted Association Rule Mining

... the algorithm using ...windows application software that can be installed by the company and perform Data ...the association rules are mined as per internal relationship between transactions and ... See full document

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An Effective Mining Algorithm for Weighted Association Rules in Communication Networks

... of weighted association rules is one of the primary methods used in communication alarm correlation ...mining association rules time ...are weighted using the analytic hierarchy process to ... See full document

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Sensitive Association Rule Hiding using Hybrid Algorithm in Incremental Environment

... new research area to protect privacy for sensitive information from ...various association rules hiding ...the rule by fine tune the support of the LHS and RHS item of the ...the rule and RHID ... See full document

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Predictive Analytics Using Rule Based Classification And Hybrid Logistic Regression(HLR) Algorithm For Decision Making

... Heart Association reveal that 65 % of people with diabetes are facing heart disease mainly type 2 ...wrapper algorithm in random forest and other machine learning ... See full document

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A Hybrid Algorithm for Disease Association Study

... distribution algorithm (MPUMDA) is used to implement the feature selection, and support vector machine (SVM) serves as an evaluator of MPUMDA for disease association ... See full document

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Optimal Hesitation Rule Mining using Weighted Apriori with Genetic Algorithm

... conventional association rule mining techniques does not suppose uncertain data for mining considerations but as mining become advance and closer to real world therefore situations and data both become more ... See full document

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A Hybrid Algorithm for Association Rule Hiding using Representative Rule

... lost association rule and hiding ...sensitive association rule without looking at the fact that how many database scans they have to make while they compare the rules before applying the ... See full document

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1. Detection of heart disease using different machine learning techniques

... The three classifiers Naive Bayes, Logistic Regression, DecisionStump were implemented in WEKA. The data is analysed and implemented in WEKA ("Waikato Environment for Knowledge Analysis") tool.The dataset which ... See full document

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An Enhanced Mammogram Image Classification Using Fuzzy Association Rule Mining

... in association rule ...mining association rule algorithm, numerical attributes should be discretized first then continuous attribute values should be divided into multiple ... See full document

7

Parallelization of Definite Integration

... Quadrature rule stated as a weighted sum of function values at specified points in a particular domain of integration, is basically an approximation based on the definite integral of a function in this ... See full document

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