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)
Table of Contents
|Evaluation of Shortest Path for Healing Therapy using Data Mining|
|R. Jayasree, Dr. B. Sarojini||1-4|
|Data Mining Techniques on Social Media Drug Related Posts – A Comparative Study & Analysis|
|D. KrithikaRenuka, Dr. B. Rosiline Jeetha||5-10|
|Data Mining: Techniques and Applications - A Review|
|S. Deivarani, S. Divya||11-13|
|A Survey on Data Mining Techniques and their Comparison Approaches for Healthcare|
|R. Vidhu, S. Kiruthika||14-19|
|Performance Assessment of Different Classification Techniques|
|K. Chitra Lekha, Dr. S. Prakasam||20-23|
|Negative Polarity Levels for Sentiment Analysis|
|Doaa Mohey El-Din||24-28|
This work is licensed under a Creative Commons Attribution 3.0 License.
ISSN: 0974 – 9578