Data Mining and Knowledge Engineering

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

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Vol 9, No 2 (2017)

Open Access Open Access  Restricted Access Subscription or Fee Access

Table of Contents

Articles

Hierarchy Database Lexicon Solution for Sentiments Challenge PDF
Doaa Mohey El-Din 29-33
IDS Using Support Vector Machine with Decision Tree Algorithm PDF
L. Sheeba 34-38
Survey on Privacy Preserving Data Mining PDF
N. Selvakumar, M.C.S Geetha 39-43
Finest Source-Based Refinery of Spam in Networks PDF
M. Manoj 44-48


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

ISSN: 0974 – 9578