Top PDF Study on the Customer targeting using Association Rule Mining
Study on the Customer targeting using Association Rule Mining
... Data mining techniques can be implemented rapidly on existing software and hardware platforms to improve the value of existing information resources, and can be integrated with new products and ...
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Association Rule Mining for Both Frequent and Infrequent Items Using Particle Swarm Optimization Algorithm
... this study uses this technique to mine association rules ...interesting association rules can be generated more efficiently. Therefore this study proposes a novel approach which includes ...
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Mutual information and sensitivity analysis for feature selection in customer targeting: a comparative study
... understanding the effects of using each predictive model built on each set of features, four confusion matrices are computed for MI and DSA ...shows the results extracted considering a typical ...
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WEB-BASED DATA MINING TOOLS : PERFORMING FEEDBACK ANALYSIS AND ASSOCIATION RULE MINING
... explain the web-enabled tools for educational data mining. The proposed web-based tool developed using ...providing the students with elective courses as well improving academic ...
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RETAIL IN THE EMERGING MARKETS: A STUDY BASED ON ASSOCIATION RULES
... for the mature market dataset we will have to find common ground to compare the ...Again, the focus of our work is studying emerging markets therefore we will present our results for this dataset ...
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A Recent Review on XML data mining and FFP
... Data Mining is referred to as Knowledge Discovery in ...for the concept or pattern to be discovered, design of appropriate functions and algorithms to find ...data on the web and ...
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Mining Recurrent Pattern Identification on Large Database
... data mining. In this paper we have taken up the Apriori Algorithm, Compacting Data Set (CDS), Frequent Pattern Algorithm using Dynamic Function, Multilevel association rule ...
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An Intelligent Association Rule Mining Model for Multidimensional Data Representation and Modeling
... traditional association rule mining algorithms to recognize frequent events in form of itemsets were widely-used example of association rule mining is Market Basket Analysis ...
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A New Approach to Find Predictor of Software Fault Using Association Rule Mining
... From the above table we found that all the top 20 rules revolve around only 8 metrics among 17 metrics: UWCS, INST, LMC, NOM, AVCC, LCOM2, CBO and ...predictors using association ...of ...
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A pragmatic approach on association rule mining and its effective utilization in large databases
... with the effective utilization of association rule mining algorithms in large databases used for especially business organizations where the amount of transactions and items plays a ...
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Telecom customer segmentation and precise package design by using data mining
... and the entire ...meeting the diverse heterogeneity needs. Studying customer value, different customers, the value brought to the enterprise is different, according to the amount ...
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An association rule mining-based framework for understanding lifestyle risk behaviors.
... to study the association structure of 7 binary health risk behaviors, we would need to analyze a contingency table with 262 7 possible ...of the table is ...from the perspective of a ...
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Frame work for association rule mining with updated fp-growth and modified cofi approaches
... of the problem. Let D be the set of transactions where each transaction T is a set of items such that T ...An association rule is an implication of the form “X =>Y” where XI, YI, ...
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Association Technique based on Classification for Classifying Microcalcification and Mass in Mammogram
... data mining technique to analysis mammogram. Researches that use data mining approach to classify can be found in [11, ...and the candidate regions are captured from the whole original ...
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A Threshold Free Implication Rule Mining
... seconds on a notebook computer Pentium Centrino 1GHz with ...sets. The search space on a target is 2 2(n-1) - ( 2 (n-1) - 1 ) where 2 2(n-1) is the total number of both positive and negative ...
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Multi-objective Numeric Association Rules Mining via Ant Colony Optimization for Continuous Domains without Specifying Minimum Support and Minimum Confidence
... a customer, the knowledge that association rules give us are something like: “70% of customers who buy A also buy ...B”. The applications of association rules are in discovering ...
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Decision support methods for finding phenotype--disorder associations in the bone dysplasia domain.
... combines association rule mining with the Dempster-Shafer theory (DST) to compute probabilistic associations between sets of clinical features and ...that the proposed approach is able ...
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Database Reverse Engineering based on Association Rule Mining
... to the attempts of applying learning techniques to existing large databases, researchers in the area of database reverse engineering have proposed some means of extracting conceptual ...databases. ...
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Efficient Frequent Pattern Tree Construction
... [1][2][3]. Association rules can be extracted using two familiarized algorithms named as Apriori algorithm and FP-Growth algorithm ...[22][23][24]. The FP-Growth algorithm is completely depends ...
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Comparative Study of Apriori Algorithm Performance on Different Datasets
... Data Mining is known as a rich tool for gathering information and apriori algorithm is most widely used approach for association rule ...of mining, the study of performance of ...
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