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 3 (2019)

Open Access Open Access  Restricted Access Subscription or Fee Access

Table of Contents


Automatic License Plate Recognition and E-Ticketing System for Transportation PDF
R. Ponnela Vignesh, N. Karthik, G. Rajeshkanna, V. Ravikumar, G. Yoseph 33-37
Automatic Solar Panel Cleaning and Tracking System PDF
S. M. Devasugan, S. V. Hariharan, M. Janakaraj, K. Nirmal, M. Ambigapathy 38-40
Transformerless Grid Connected Inverter with Active and Reactive Power Control in Distributed Generation System PDF
S. Vivek, L. Keerthana, M. Tamilselvi, P. Vigneshwari 41-44
High Performance Partial Product Binary to Decimal (PPBD) Converter based Multiplier PDF
R. Aswatha, B. R. Sriram Prasath, M. Sai Thulasi Ram 45-49

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

ISSN: 0974 – 9578