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 15, No 1 (2023)
Open Access
Subscription or Fee Access
Table of Contents
Articles
| Effectiveness of Data Mining in Non-Banking Industry: A Case Study |
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| Atef Raslan, Sameh Ali |
| A Survey on Text Mining using Machine Learning Techniques |
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| B Hemalatha, M Sorana Mageswarai |
| Big Data Analysis using Gradient Boosting Algorithm |
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| Hojiwala Robin, Ridhdhi Naik |
This work is licensed under a Creative Commons Attribution 3.0 License.
ISSN: 0974 – 9578