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 11, No 3 (2019)
Open Access
Subscription or Fee Access
Table of Contents
Articles
| Automatic License Plate Recognition and E-Ticketing System for Transportation |
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| R. Ponnela Vignesh, N. Karthik, G. Rajeshkanna, V. Ravikumar, G. Yoseph | 33-37 |
| Automatic Solar Panel Cleaning and Tracking System |
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| 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 |
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| S. Vivek, L. Keerthana, M. Tamilselvi, P. Vigneshwari | 41-44 |
| High Performance Partial Product Binary to Decimal (PPBD) Converter based Multiplier |
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| R. Aswatha, B. R. Sriram Prasath, M. Sai Thulasi Ram | 45-49 |
This work is licensed under a Creative Commons Attribution 3.0 License.
ISSN: 0974 – 9578