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
Vol 12, No 4 (2020)
Open Access
Subscription or Fee Access
Table of Contents
Articles
| 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 |
This work is licensed under a Creative Commons Attribution 3.0 License.
ISSN: 0974 – 9578