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 9, No 9 (2017)

Open Access Open Access  Restricted Access Subscription or Fee Access

Table of Contents


Comparative Analysis on Classification Data Mining Techniques through WEKA PDF
Lukeshkumar Barapatre, Anand Sharma, Hemant Barapatre 185-190
Student Performance and Placement Prediction using Cluster and Association Techniques PDF
Selinrachel Selinrachel, T. Christopher 191-195
Fabric Defect Detection – A Survey PDF
M. Selvanayaki 196-201
Traffic Accident Analysis Using Data Mining Techniques PDF
V. Ponmagal, D. Karthick Deepan 202-206

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

ISSN: 0974 – 9578