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COMPARISON OF APRIORI AND FP-GROWTH ALGORITHMS ON DETERMINATION OF ASSOCIATION RULES IN AUTHORIZED AUTOMOBILE SERVICE CENTRES

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Data Mining is used to describe the totality of techniques which aim to find the unexplored patterns in a set of data. The purpose of data mining is to create models of decision-making devoted to estimations of future behavior based on analysis of past activities. In this study the shopping data...

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Integrating customer clustering and QFD to improve and develop services : a case study

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Association rule mining for identification of port state control patterns in Malaysian ports

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Konsumentenforschung in Web 2.0 : quantitative Analyse digitaler Kundenmeinungen am Beispiel der Mobiltelefonindustrie

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A framework for context sensitive services : a knowledge discovery based approach

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Principles for successful mobile CRM in organisations from data mining perspective

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Handset-based measurement of smartphone service evolution in Finland

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Interactive response system using SMS : mining unstructured mobile data warehouse

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Reusable knowledge patterns extraction from peer-to-peer communication elements

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