Data Mining and Knowledge Engineering




Data Mining and Knowledge Engineering

Publisher: Coimbatore Institute of Information Technology
Editor: Dr. V. Sivaraj
Online ISSN: 0974–9578, Print ISSN: 0974–9683
Frequency: Monthly

Description:

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.

Table of Contents

Vol 11, No 1 (2019)

Articles

Automatic Requirement Classification: A Comparative Study
Haidy H. Mustafa, Nagy Ramadan Darwish
 Vol 11, No 1 (2019), Pagination: 1-6
ABSTRACT |  PDF     Abstract Views: 0  |  PDF Views: 0
Stock Market Analysis using a combination of Textual Data and Numeric Time-Series
Aastha Sharma, Aadita Gandhi, Prerna Singal
 Vol 11, No 1 (2019), Pagination: 7-11
ABSTRACT |  PDF     Abstract Views: 0  |  PDF Views: 0
Automated Roof for Cloth Protection with Notification Using IOT
S. Kiruthiga, A. Karthika, K. Dhanraj
 Vol 11, No 1 (2019), Pagination: 12-16
ABSTRACT |  PDF     Abstract Views: 0  |  PDF Views: 0