Data Mining and Knowledge Engineering

CiiT International Journal of Data Mining and Knowledge Engineering

Aim:

        The aim of Journal Data Mining Knowledge Engineering focuses on theoretical and practical research development on knowledge engineering and data mining.

Scope:

        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 12, No 10-12 (2020)

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Table of Contents

Articles

Smart Building Control System using Raspberry Pi and its Application using Bluetooth Beacon Communication PDF
Dr. Ravi Mishra, Vipin Bhure, Shrikant Chavate 145-150
A Study on the Mental Fatigue Factors and Stress Management of Teachers in the Times of Pandemic PDF
Jastine Kent E. Florungco, Dennis G. Caballes 151-155
Exploring Between SHS Strand and College Course Mismatch: Bridging the Gap Through School Policy on Intensified Career Guidance Program PDF
Corazon A. Quintos, Dennis G. Caballes, Edheson M. Gapad, Marianne R. Valdez 156-161


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ISSN: 0974 – 9578