Data Mining and Knowledge Engineering

CiiT International Journal of Data Mining and Knowledge Engineering


        The aim of Journal Data Mining Knowledge Engineering focuses on theoretical and practical research development on knowledge engineering and data mining.


        The scope of the journal includes developing technologies in Data Analysis, Data cleaning and pre-processing, Data engineering, Data extraction and reporting, Data mining algorithms and processes, Data mining techniques, tools and applications, Decision analysis, Knowledge-based/rule-based/case based/expert system design, Knowledge acquisition, dissemination, discovery methodologies and technologies, Database design and architecture, Intelligent system design, Data integration and exchange, Data security and data integrity, Database administration and maintenance issues.

Print: ISSN 0974 – 9683 & Online: ISSN 0974 – 9578


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Vol 10, No 1 (2018)

Open Access Open Access  Restricted Access Subscription or Fee Access

Table of Contents


Built-in Big Data Applications Using Restful Web Services PDF
Dr. V. Pattabiraman 1-6
A Survey on Effective Relevance Feedback Methods for Web Information Retrieval PDF
R. Aiswarya, Dr. D . Vimal Kumar 7-8
Survey on Algorithms Applied in Pattern Mining PDF
M. V. Jisha, Dr. D . Vimal Kumar 8-11
Review on Web Usage Mining and Data Preprocessing Techniques PDF
P. Menaka, K. Geetha 12-14
Accurate Heart Disease Prediction System Using Optimized Data Mining Techniques PDF
G. Purusothaman, Dr. A. Nithya 15-20

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ISSN: 0974 – 9578