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 10, No 5 (2018)

Open Access Open Access  Restricted Access Subscription or Fee Access

Table of Contents


Context-based Feature Extraction Technique – LSI vs LDA PDF
A. M. Abirami, A. Askarunisa, T.S.B. Akshara, G. Prasannashree, K. Priyanga, K. Sarika 85-92
Engineering Admission Analysis Using Data Mining PDF
Chaynika Kapoor, Latika Singh 93-99
A Telemonitoring System for Space using IoT PDF
J. Priya, D. Gayathri 100-107
Weather Forecasting using MapReduce Technique
P. S. Sindhu, Poornima Kulkarni 108-111

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

ISSN: 0974 – 9578