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 11, No 4 (2019)

Open Access Open Access  Restricted Access Subscription or Fee Access

Table of Contents


Privacy Protection and Interruption Avoidance for Cloud-Based Medical Data Sharing PDF
K. Nandhini, S. Jayanthi 53-56
Transforming Relational Database to Ontology Using Multiple Tables PDF
R. Priyanka, V. Sujatha 57-60
Prediction of Coronary Heart Disease using Algorithms in Data Mining PDF
S. Devi, Dr. S. Sridhar 61-64
Enhancing the Academic Performance of Grade 10 Students in Physics through Interactive Simulation Laboratory Experiments PDF
Ian Ismael E. Marces, Dennis G. Caballes 65-70

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

ISSN: 0974 – 9578