Data Mining and Knowledge Engineering

CiiT International Journal of Data Mining and Knowledge Engineering

Aim:

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

Scope:

        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 9, No 8 (2017)

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Table of Contents

Articles

Mitigating the Risk of Customer Churn Using K-Means Clustering PDF
P. Sharmila, J. Ilakkiya 165-168
Delivery of Healthcare Services and Accessibility to Maternal and Child Health Care-A Case Study in Assam PDF
Nirmala Devi 169-176


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This work is licensed under a Creative Commons Attribution 3.0 License.

ISSN: 0974 – 9578