18 results with keyword: 'analysis of customer behavior using clustering and association rules'
Customer Relationship Management, Data mining, Clustering, Association rules, K-means, Apriori
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Customer Relationship Management, Data mining, Clustering, Association rules, K-means, Apriori
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Jersey City, NJ $32,170 Tuition 2,506 Enrolled 440 Avg SAT Reading 460 Avg SAT Math 440 Avg SAT Writing SAVE SCHOOL REQUEST INFO > Salisbury University
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Simple Client-Server CLIENT socket() connect() send() recv() close() Connection establishment Data response Data request End-of-file notification SERVER socket() bind()
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The western studies project leader emergence in a group is cumulated based on the leadership effectiveness on the fair level of role performance; similarly, Bediuzzaman
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SIGNAL PROCESSING FOR TELECOMMUNICATIONS AND ECONOMICS Local Storage Covert Channels.
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The configuration of adders are classified into various types they are Ripple carry adder, carry skip adder, carry look ahead adder and carry select adder.. Carry skip
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“An anticipation model of potential customers’ purchasing behavior based on clustering analysis and association rules analysis” Expert systems with applications,
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initial cost by reducing the heating capacity of Hot Water Heat Pump (HWHP) down to 20.4% and 34.7% for residential and hotel sectors, respectively. R equire further study to
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The existing system determine the new two-stage framework of customer behavior analysis using K-means clustering algorithm and an association rule inducer for analyzing bank
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Primary data consist of geometric and environmental conditions (obtained data by measuring road width, approach width, the number of lanes, and also observing the activities
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By selecting appropriate data preprocessing, clustering analysis, association analysis algorithms and improving them, we dig out the normal access behavior rules of users from
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This study aims to map the pattern of organizational culture in government agencies, which refers to Edgar H Schein’s concept of organizational culture research,
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Decommissioning program activities include: (1) developing regulations and guidance to assist staff and the regulated community; (2) conducting research to develop data, techniques,
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The main objective of this work is to investigate the use of the Non-dominated Sorting Genetic Algorithm II (NSGA-II) technique using the real valued
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first one is the description of SE-SM optimization, digital and conventional marking, second one is the description of return the invested asset values with the
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In December 2013, Public Health England (PHE) observed an increase in the number of cases of Shigella sonnei linked to the Orthodox Jewish Community (OJC).. Ultimately, 52 cases
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The proposed algorithm named ‘Autoregressive Moving Average model-based Incremental Temporal Association Rules Mining (ARMA-ITARM)’ utilizes the ARMA model to
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