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 11, No 5 (2019)

Open Access Open Access  Restricted Access Subscription or Fee Access

Table of Contents


Effect of Digitization of School Forms on the Stress Level and Human Relations of Public Secondary School Teachers in Fifth District of Manila PDF
Antonio A. Montellano, Dennis G. Caballes 73-78
Strains on Human Relation caused by Data Management at the Planning Office: Stimuli for the Improvement of its Policies and Development of Information System PDF
Rinalyn G. Magtibay, Dennis G. Caballes 79-84
Online Child-Friendly Survey: An Evaluation of RTU-SHS Students PDF
Faith Micah D. Abenes, Dennis G. Caballes 85-92

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

ISSN: 0974 – 9578