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 9, No 3 (2017)
Table of Contents
|Performance Oriented I/O Deduplication by Dynamic Allocation in Cloud|
|R. Aktharunisa Begum, S. Pothumani||49-55|
|Cloud Malware and Malware Detection Survey|
|R. Emad El-Dein, B. Youssef, S. ElGamal||56-61|
|A Novel Method for Automatic Attendance Management System|
|B. Kavinmathi, K. Mohana Sundaram, N. Ravi Kumar, E. Varadharajan||62-64|
|Message Transmission Using UMB Protocol in Urban Vehicular Ad-Hoc Networks|
|M. Mathumitha, K. Thamizhmaran, T. Priyanka||65-68|
This work is licensed under a Creative Commons Attribution 3.0 License.
ISSN: 0974 – 9578