WEB MINING USING K-MEANS CLUSTERING AND LATEST SUBSTRING ASSOCIATION RULE FOR E-COMMERCE

Rudra Prasad Chatterjee

doi:10.26782/jmcms.2019.12.00003

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JOURNAL ARTICLE

WEB MINING USING K-MEANS CLUSTERING AND LATEST SUBSTRING ASSOCIATION RULE FOR E-COMMERCE

Rudra Prasad Chatterjee

Year: 2019 Journal: JOURNAL OF MECHANICS OF CONTINUA AND MATHEMATICAL SCIENCES Vol: 14 (6) Publisher: Institute of Mechanics of Continua and Mathematical Sciences

DOI: 10.26782/jmcms.2019.12.00003

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Keywords:

Substring Association rule learning Cluster analysis Computer science Data mining Web application Web mining Information retrieval World Wide Web Web page Artificial intelligence Programming language Data structure

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Topics

Customer churn and segmentation

Social Sciences → Business, Management and Accounting → Marketing

Wireless Sensor Networks and IoT

Physical Sciences → Engineering → Control and Systems Engineering

Data Mining Algorithms and Applications

Physical Sciences → Computer Science → Information Systems

WEB MINING USING K-MEANS CLUSTERING AND LATEST SUBSTRING ASSOCIATION RULE FOR E-COMMERCE

Metrics

Citation History

Topics

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