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


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 4 (2019)


Privacy Protection and Interruption Avoidance for Cloud-Based Medical Data Sharing
K. Nandhini, S. Jayanthi
 Vol 11, No 4 (2019), Pagination: 53-56
ABSTRACT |  PDF     Abstract Views: 109  |  PDF Views: 0
Transforming Relational Database to Ontology Using Multiple Tables
R. Priyanka, V. Sujatha
 Vol 11, No 4 (2019), Pagination: 57-60
ABSTRACT |  PDF     Abstract Views: 170  |  PDF Views: 1
Prediction of Coronary Heart Disease using Algorithms in Data Mining
S. Devi, S. Sridhar
 Vol 11, No 4 (2019), Pagination: 61-64
ABSTRACT |  PDF     Abstract Views: 127  |  PDF Views: 0
Enhancing the Academic Performance of Grade 10 Students in Physics through Interactive Simulation Laboratory Experiments
Ian Ismael E. Marces, Dennis G. Caballes
 Vol 11, No 4 (2019), Pagination: 65-70
ABSTRACT |  PDF     Abstract Views: 189  |  PDF Views: 0