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 1 (2017)

Open Access Open Access  Restricted Access Subscription or Fee Access

Table of Contents


Evaluation of Shortest Path for Healing Therapy using Data Mining PDF
R. Jayasree, Dr. B. Sarojini 1-4
Data Mining Techniques on Social Media Drug Related Posts – A Comparative Study & Analysis PDF
D. KrithikaRenuka, Dr. B. Rosiline Jeetha 5-10
Data Mining: Techniques and Applications - A Review PDF
S. Deivarani, S. Divya 11-13
A Survey on Data Mining Techniques and their Comparison Approaches for Healthcare PDF
R. Vidhu, S. Kiruthika 14-19
Performance Assessment of Different Classification Techniques PDF
K. Chitra Lekha, Dr. S. Prakasam 20-23
Negative Polarity Levels for Sentiment Analysis PDF
Doaa Mohey El-Din 24-28

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

ISSN: 0974 – 9578