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Khan, Rafi Ahmad
- Data Mining:A Tool for Customer Relationship Management
Abstract Views :220 |
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1 Business School, University of Kashmir, IN
1 Business School, University of Kashmir, IN
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Data Mining and Knowledge Engineering, Vol 8, No 4 (2016), Pagination: 95-99Abstract
Revolution of information technology in general and the World Wide Web in particular has created opportunity of building better relationships with customers. Until recently, simplifying the management and organization of customer information was main focus of Customer Relationship Management software's. Such software, called Customer Relationship Management, mainly focused on creating a database of customer's vital information. However, the sheer volumes of this customer information created need for organizations to look for methods and techniques to automatically and intelligently gain insight into customers and their needs through data analysis. Data Mining is popular means of analyzing large volumes of data in order to extract the valuable information/knowledge hidden in this data. There is an emerging trend of using data mining tools for Customer Relationship Management by the organizations in order to analyze and understand buying behavior of customers and their characteristics, so as to retain existing customers, acquire new potential customers and maximize their value. This paper presents concepts of Customer Relationship Management and Data Mining, framework of Customer Relationship Management and Data Mining, application of various data mining techniques in Customer Relationship Management.Keywords
Customer Relationship Management (CRM), Data Mining (DM), Clustering, Association, Sequencing, Neural Networks, Regression.- Web Mining:Concepts and Application
Abstract Views :199 |
PDF Views:2
Authors
Affiliations
1 Business School, University of Kashmir, Srinagar, Jammu and Kashmir, IN
1 Business School, University of Kashmir, Srinagar, Jammu and Kashmir, IN
Source
Data Mining and Knowledge Engineering, Vol 8, No 3 (2016), Pagination: 89-91Abstract
Web mining is a newly emerging field and research area of data mining concerned with analyzing huge volume of data present on the World Wide Web. It is mainly concerned with web usage, web structure and web content. Web content mining lays emphasizes on the discovery/retrieval of the useful information from the Web content/Web documents/Web data, while the Web structure mining focuses on the discovery of how to model the underlying link structures of the web. Web usage mining mainly describes the techniques that discover the Web site visitor’s usage pattern and try to predict their behaviors. This paper discusses the web mining, its three categories and the applications of web mining in business.Keywords
Web Mining, Web Usage, Web Structure, Web Content, Data Mining, Information Retrieval.- Data Mining:Applications in Marketing
Abstract Views :175 |
PDF Views:2
Authors
Affiliations
1 Business School, University of Kashmir, Srinagar-190001, Jammu & Kashmir, IN
1 Business School, University of Kashmir, Srinagar-190001, Jammu & Kashmir, IN