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 13, No 6 (2021)

Open Access Open Access  Restricted Access Subscription or Fee Access

Table of Contents


Design and Implementation of Final Year Project Management System PDF
J. V. Joshua, O.D. Alao, T. S. Nwachukwu 101-105
A Survey on ML Models of Wind Energy Forecasting PDF
T. M. Angelin Monisha Sharean, S. Sanjana 106-109
Human Pose Estimation Benchmarking and Action Recognition PDF
Vineetha podila 110-116
Sentiment Analysis using SVM Machine Learning Techniques on Social Media PDF
Dr. R. Gunavathi, N. Saranya 117-122

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

ISSN: 0974 – 9578