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
|No announcements have been published.|
Vol 9, No 2 (2017)
Table of Contents
|Hierarchy Database Lexicon Solution for Sentiments Challenge|
|Doaa Mohey El-Din||29-33|
|IDS Using Support Vector Machine with Decision Tree Algorithm|
|Survey on Privacy Preserving Data Mining|
|N. Selvakumar, M.C.S Geetha||39-43|
|Finest Source-Based Refinery of Spam in Networks|
This work is licensed under a Creative Commons Attribution 3.0 License.
ISSN: 0974 – 9578