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Knowledge and Data mining for Recent and advanced applications using Emerging Technologies


Guest editors

P. Vijaya, Waljat College of Applied Sciences [email protected]
Binu D, Resbee Info technologies Private Limited [email protected]

Scope

Recent digital data growth has led to tremendous pressure due to the raising demand for knowledge and information systems professionals in almost all areas. However, the rapid growth in these areas has not been mirrored by the growth in specialist forums, in which pertinent issues can be discussed by exchanging ideas.

In this Special Issue we aim to provide those forums and offer a platform to interested parties for sharing their work on the outlook on information engineers, scientists, and related professionals. This special issue integrates interdisciplinary and multidisciplinary techniques for data mining and retrieval in the era of knowledge engineering. All papers that aim to address and explain the issues related to these areas are welcomed.

Experimental articles detail a validation test of one or more theoretical ideas that are related to advanced data technologies. Analytical articles report the results of detailed analysis of behavior and opinions across a range of settings and methodologies, including user studies, surveys and log analysis with respect to the big data analytics and mining methods. Application-oriented articles provide successful application of few techniques from the literature for a significant real-world problem.

Topics of interest for the special issue include (but are not limited to):
• Information mining
• MapReduce framework with data mining
• Mining with big data technologies
• Scalability
• Search algorithms on data mining
• Data mining in science, engineering, and technologies
• Fusion of data mining with Internet of Things
• Knowledge mining
• Databases
• Biological data mining
• Image and video mining
• Financial Modeling, Forecasting
• Regression and Classification
• Clustering
• Predictive analytics on Social Networks
• Educational Data Mining

Submission procedure

Submissions to Data Technologies and Applications are made using ScholarOne Manuscripts, the online submission and peer review system. Registration and access is available at https://mc.manuscriptcentral.com/dtaa. If you are unable to find the information you need in the author guidelines or our author resources (http://emeraldgrouppublishing.com/authors/index.htm) section, please email [email protected] for assistance. Please quote the journal name, your contact details and the information your require.

Important Dates

Submission deadline: August 30th 2019
Author notification: November 2019
Final approval by Editor-in-chief: December 2019
Expected publication date: Q1 2020