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 6 (2017)

Open Access Open Access  Restricted Access Subscription or Fee Access

Table of Contents


Logistic Regression for Breast Cancer Analysis PDF
Bhoomi Sharma, Abhimanyu Abhimanyu, Anuradha Anuradha, Yogita Gigras 109-113
Dynamic Analysis of Web System by Using Model-Based Testing and Process Crawler Model PDF
Nayan Mulla, S.B. Takmare 114-119
Comparative Analysis of Optimization Algorithms for Document Clustering PDF
K. Karpagam, A. Saradha 120-125
A Comparision Study on Traffic Risk Assessment and Road Safety Analysis Using Spatial Data Mining Techniques PDF
Dara Anitha Kumari, Dr. A. Govardhan 126-130

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ISSN: 0974 – 9578