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 5 (2017)

Open Access Open Access  Restricted Access Subscription or Fee Access

Table of Contents


Big Data Analytics Model for Comprehensive Stock Market Anatomization PDF
Dr. Satyen M. Parikh, Dhara N. Darji 89-92
Aspect Ranking: Identifying Important Product Aspects by Exploring Online Consumer Reviews PDF
BL. Nithiasree, Dr.K. Palaniammal 93-96
SMO, IBK and Logistic Classifiers for Classification of Breast Cancer PDF
P. Hamsagayathri, P. Sampath 97-102
Swarm Intelligence in Semi-Supervised Classification PDF
Shahira Shaaban Azab, Hesham Ahmed Hefny 103-107

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

ISSN: 0974 – 9578