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 12, No 4 (2020)

Open Access Open Access  Restricted Access Subscription or Fee Access

Table of Contents


Learning Approaches of Grade 11 Students in Physics at Antipolo City Senior High School PDF
Mary Rose F. Santos, Dennis G. Caballes 69-73
Students’ Learning Styles: Basis for Construction of Classroom Performance Rubric PDF
Generose B. Solas, Dennis G. Caballes 74-79
A Module in Teaching Science, Technology, and Society for Non-Science College Students PDF
Ma. Lourdes G. Narca, Dennis G. Caballes 80-84

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

ISSN: 0974 – 9578