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 10, No 9 (2018)

Open Access Open Access  Restricted Access Subscription or Fee Access

Table of Contents


Application Programming Interface (API) Ubiquitous yet Unseen to the Naked Eye PDF
V. Manjushree Sahana, Dr. V. Udayarani 180-182
A Survey on High Utility Data Mining for Increasing Transactions Databases PDF
S. Siva, Dr. Shilpa Chaudhari 183-187
Cryptography and Types Encryption and Decryption... PDF
K. M. Sinduja, Namratha Kalsannavar 188-189
Cancer Classification of Gene Expression Data by Fast Clustering and Fuzzy TSVM PDF
B. Kalaivani, T. Vishnusaranya 190-194
Spam Detection Techniques Used In Online Social Media Reviews PDF
K. Arun, M. Manoj 195-197

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

ISSN: 0974 – 9578