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 13, No 4 (2021)

Open Access Open Access  Restricted Access Subscription or Fee Access

Table of Contents


Improving the Lead Conversion Rate for Online Course Selection Using Binary Classification Approach PDF
Venkatesh R. Pai, Malini M. Patil 57-61
Issues and Challenge of Cyber Safety and Cybercrime PDF
Dr. M. Renuka Devi, S. Mohammed Anish Khan, G. Rufina Jenifer, R. Shiva Ram 62-66
“Cryptosystem for Secured Medical Data Sharing Using Block Chain Technology” PDF
N. Supritha, K. Soundarya, K. Simran Gill, S. R. Vani, R. Sheethal 67-71
Malicious Comment Classification using Bidirectional LSTM and Convolutional Neural Networks PDF
K. V. Sarath Chandra, R. Sri Harsha, Srivathsa L Rao, C. Shreyas Gowda, Dr. K. S. S. Kavitha 72-76

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

ISSN: 0974 – 9578