AN INTEGRATED APPROACH TO COLLABORATE WEB USAGE MINING AND BUSINESS INTELLIGENCE FOR RECOMMENDATIONS IN E-COMMERCE.

International Journal of Advance Engineering and Research Development ◽

10.21090/ijaerd.021117 ◽

2015 ◽

Vol 2 (11) ◽

Keyword(s):

Business Intelligence ◽

Integrated Approach ◽

Web Usage Mining ◽

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A NOVEL APPROACH OF WEB USAGE MINING WITH BUSINESS INTELLIGENCE FOR SALES ANALYTICS USING CURRENT DATA TRENDS IN MOBILE PHONES

International Journal of Advance Engineering and Research Development ◽

10.21090/ijaerd.030467 ◽

2016 ◽

Vol 3 (04) ◽

Keyword(s):

Mobile Phones ◽

Business Intelligence ◽

Current Data ◽

Web Usage Mining ◽

Web Usage ◽

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Natural computation for business intelligence from Web usage mining

Seventh International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC'05) ◽

10.1109/synasc.2005.48 ◽

2005 ◽

Author(s):

A. Abraham

Keyword(s):

Business Intelligence ◽

Web Usage Mining ◽

Natural Computation ◽

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A web usage mining framework for business intelligence

2011 IEEE 3rd International Conference on Communication Software and Networks ◽

10.1109/iccsn.2011.6014995 ◽

2011 ◽

Author(s):

Sonal Tiwari ◽

Deepti Razdan ◽

Prashant Richariya ◽

Shivkumar Tomar

Keyword(s):

Business Intelligence ◽

Web Usage Mining ◽

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An OLAM framework for Web usage mining and business intelligence reporting

2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291) ◽

10.1109/fuzz.2002.1006632 ◽

2003 ◽

Author(s):

Xiaohua Hu ◽

N. Cercone

Keyword(s):

Business Intelligence ◽

Web Usage Mining ◽

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A data warehouse/online analytic processing framework for web usage mining and business intelligence reporting

International Journal of Intelligent Systems ◽

10.1002/int.20012 ◽

2004 ◽

Vol 19 (7) ◽

pp. 585-606 ◽

Author(s):

Xiaohua Hu ◽

Nick Cercone

Keyword(s):

Data Warehouse ◽

Business Intelligence ◽

Web Usage Mining ◽

Web Usage ◽

Analytic Processing ◽

Processing Framework

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WEB USAGE MINING: BUSINESS INTELLIGENCE FROM WEB LOGS

Series in Machine Perception and Artificial Intelligence - Computational Web Intelligence ◽

10.1142/9789812562432_0012 ◽

2004 ◽

pp. 229-256

Author(s):

Ajith Abraham

Keyword(s):

Business Intelligence ◽

Web Usage Mining ◽

Web Usage ◽

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A Web Usage Mining Approach to User Navigation Pattern and Prediction in Web Log Data

International Journal of Scientific Research ◽

10.15373/22778179/apr2014/34 ◽

2012 ◽

Vol 3 (4) ◽

pp. 92-94

Author(s):

SUJATHA PADMAKUMAR ◽

◽

Dr.PUNITHAVALLI Dr.PUNITHAVALLI ◽

Dr.RANJITH Dr.RANJITH

Keyword(s):

Web Usage Mining ◽

Log Data ◽

Web Log ◽

Web Usage ◽

User Navigation

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A Two-Phase Dynamic Recommender System for Improved Web Usage Mining and Personalization

International Review on Computers and Software (IRECOS) ◽

10.15866/irecos.v10i12.7841 ◽

2015 ◽

Vol 10 (12) ◽

pp. 1244

Author(s):

Anna Alphy ◽

S. Prabakaran

Keyword(s):

Recommender System ◽

Web Usage Mining ◽

Two Phase ◽

Phase Dynamic ◽

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An Efficient Algorithm for Data Pre-Processing and Personalization in Web Usage Mining

International Journal of Computer Sciences and Engineering ◽

10.26438/ijcse/v7i5.160164 ◽

2019 ◽

Vol 7 (5) ◽

pp. 160-164

Author(s):

Preeti Rathi ◽

Nipur Singh

Keyword(s):

Efficient Algorithm ◽

Web Usage Mining ◽

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A Perspective Study on Pattern Discovery of Web Usage Mining

International Journal of Computer Sciences and Engineering ◽

10.26438/ijcse/v7i4.10761081 ◽

2019 ◽

Vol 7 (4) ◽

pp. 1076-1081

Author(s):

G. Ragupathy ◽

M.K. Prakash

Keyword(s):

Pattern Discovery ◽

Web Usage Mining ◽

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