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 3 (2020)

Open Access Open Access  Restricted Access Subscription or Fee Access

Table of Contents


Technological Knowledge and Technological Pedagogical Knowledge of Science Teachers: Basis for Faculty Development PDF
Faith Micah D. Abenes, Dennis G. Caballes 41-47
Misconceptions in Chemistry of High School Teachers and its Origin PDF
Faith Micah D. Abenes, Dennis G. Caballes 48-54
DepEd Commons: Sustaining Students’ Learning in Physical Science PDF
Rose Ann V. Capinig, Dennis G. Caballes 55-60

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

ISSN: 0974 – 9578