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Emerging Data Mining, Soft Computing Techniques and their Applications Special Issue

Editorial Board
Special Issue Editors:
  • Manik Sharma (DAV University, India)+ BioDr Manik Sharma is MCA and UGC-NET qualified, and received his PhD degree in Distributed Query Optimization. He has more than 12 years of teaching experience, having previously worked as head of the Department of Computer Science and Application and officiating principal at Sewa Devi S.D. College, India. Currently, he is working as an Assistant Professor in the Department of Computer Science and Applications at DAV University, Jalandhar, India. His main research work focuses on query optimization, data mining, soft computing and machine learning. Currently, he is working in the area of data mining, machine learning and soft computing, with a specialization in the diagnosis of diseases and modeling of DSS query optimizers. The thrust area of his research is to improve predictive accuracy in early diagnosis of several fatal human disorders. He has published four books related to computer networks, internet applications, management information systems and database theory. In addition, he has published 25 research papers in various journals of international repute including some indexed by Scopus and Thomson Reuters. He also presented more than 10 research articles in various national and international UGC and IEEE conferences, and has given several talks on query optimization, data mining and health informatics. He is an active member of the international program committees, technical program committees, and advisory committees of several academic conferences.
Scope

In recent years, Data Mining has made a reflective impact on business practices, dataclassification, predictive systems and knowledge management in recent years. Business intelligence has emerged as one of the most popular applications of many data mining techniques. Soft computing techniques are the optimization techniques which have been effectively used to solve various multidisciplinary NP hard problems.

The aim of this Special Issue is, to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results about all aspects of Data Mining, Soft Computing Techniques and their application in different research areas such as Finance, Healthcare, Text Processing, Agriculture and Engineering.

Topics
  • Design of novel classification, clustering and regression techniques.
  • Feature Selection
  • Data Preprocessing
  • Design of predictive system
  • Emerging Soft Computing Techniques
  • Fuzzy Logic
  • Rough Set Theory
  • Nature Inspired Computing Techniques
  • Machine Learning
  • Deep learning
  • Applications of Data mining in Healthcare, Finance, Education and Agriculture
  • Applications of Soft Computing Techniques in Healthcare, Finance, Education and Agriculture
  • Hybrid and ensemble techniques
  • Big Data Mining
  • Visualization of data
  • Knowledge-based maintenance using Machine Learning and Data Mining
Keywords
Manuscript submission deadline:
10.5.2019
Notification of acceptance:
25.6.2019
Publication of special issue (tentative):
October 2019

Journal:
Scalable Information Systems