2014•Unpublished venueRequires access

Customer Relationship Management using Data Mining

Namdeo Badhe, Jinal Doshi, Divya Sharma, Divya Upadhyay

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Abstract

Abstract---Data Mining is motivated by most important area of research.Data Mining consists of evaluation of very large volume of data which leads to more consumption of time, so to reduce this efficient Data Mining algorithms are needed to be implemented so that the computational time as well as the efficiency increases.[3] CRM (Customer Relationship Management) describes the relationship between the different users and the product they buy or sell. This again involves very large amount of data and record keeping. The existing methodology of Data Mining used in the CRM systems are Apriori algorithms, which finds the frequent item sets and thus finding the relationship between them. But this too has various shortcomings such as excess time consumption which can be ruled out by the implementation of the Improved Apriori algorithm where portioning of the database is done.[1] The proposed system will have a CRM system where with the use of Improved Apriori algorithm the searching and the scanning time of the item sets can be reduced tremendously giving accurate and efficient output.[2]

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What this paper is about

Abstract---Data Mining is motivated by most important area of research.Data Mining consists of evaluation of very large volume of data which leads to more consumption of time, so to reduce this efficient Data Mining algorithms are needed to be implemented so that the computational time as well as the efficiency increases.[3] CRM (Customer Relationship Management) describes the relationship between the different users and the product they buy or sell. This again involves very large amount of data and record keeping. The existing methodology of Data Mining used in the CRM systems are Apriori algorithms, which finds the frequent item sets and thus finding the relationship between them. But this too has various shortcomings such as excess time consumption which can be ruled out by the implementation of the Improved Apriori algorithm where portioning of the database is done.[1] The proposed system will have a CRM system where with the use of Improved Apriori algorithm the searching and the scanning time of the item sets can be reduced tremendously giving accurate and efficient output.[2]

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Available abstract

Abstract---Data Mining is motivated by most important area of research.Data Mining consists of evaluation of very large volume of data which leads to more consumption of time, so to reduce this efficient Data Mining algorithms are needed to be implemented so that the computational time as well as the efficiency increases.[3] CRM (Customer Relationship Management) describes the relationship between the different users and the product they buy or sell. This again involves very large amount of data and record keeping. The existing methodology of Data Mining used in the CRM systems are Apriori algorithms, which finds the frequent item sets and thus finding the relationship between them. But this too has various shortcomings such as excess time consumption which can be ruled out by the implementation of the Improved Apriori algorithm where portioning of the database is done.[1] The proposed system will have a CRM system where with the use of Improved Apriori algorithm the searching and the scanning time of the item sets can be reduced tremendously giving accurate and efficient output.[2]

Key concepts: Customer relationship management, Data mining, Business, Computer science, Data science, Database

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