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 9, No 3 (2017)

Open Access Open Access  Restricted Access Subscription or Fee Access

Table of Contents


Performance Oriented I/O Deduplication by Dynamic Allocation in Cloud PDF
R. Aktharunisa Begum, S. Pothumani 49-55
Cloud Malware and Malware Detection Survey PDF
R. Emad El-Dein, B. Youssef, S. ElGamal 56-61
A Novel Method for Automatic Attendance Management System PDF
B. Kavinmathi, K. Mohana Sundaram, N. Ravi Kumar, E. Varadharajan 62-64
Message Transmission Using UMB Protocol in Urban Vehicular Ad-Hoc Networks PDF
M. Mathumitha, K. Thamizhmaran, T. Priyanka 65-68

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ISSN: 0974 – 9578