Department of Computer Science, A.P.C. Mahalaxmi College for Women, Manonmanium Sundaranar University,
tuticorin, tamilnadu, India
Faculty of Engineering & Applied Sciences, Botho University,
MCA Department, St. Xavier's College,
Department of Computer Science & Engineering, Pondicherry Engineering College,
Department of Information Technology, Rathinam college of arts and science, Bharathiar University,
Guidelines for Submission
Manuscripts can be submitted until the expiry of the deadline. Submissions must be previously unpublished and may not be under consideration elsewhere.
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The special issue currently is open for paper submission. Potential authors are humbly requested to submit an electronic copy of their complete manuscript by clicking here.
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Data mining and knowledge discovery in recent research needs a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data. The collection and analysis of data are continuously growing due to the prevalence of computing devices. The analysis of such information is needed for developing businesses and to the society in different fields. This Special Issue will mainly focus on the information and knowledge analysis, as well as the extraction of the inherited knowledge. And this will also focus on extracting knowledge by incorporating it into smart tools and applications. Rapid growing of information technologies nowadays has brought wonderful opportunities for data sharing and integration, and also demands for privacy protection. Privacy-preserving data mining techniques assure data privacy without compromising the confidentiality and quality of data. Although many techniques have been developed, many of the key problems still remain open in this area. Hence this special issue will also aims to provide an opportunity for presenting recent advances as well as new research directions in all issues related to privacy-preserving data mining. In this special issue, Scientists/Researchers/Students/Other Scholar are invited, to submit their original research, case study, survey paper or extensive review articles.
Aims and Scope:
Data mining and machine learning applied to information extraction
Knowledge base maintenance using Machine Learning and Data Mining
Security and semantic issues and technologies for knowledge discovery and sharing
Data mining techniques for mining and analyzing software repositories
Information Retrieval techniques for mining and analyzing software repositories
Knowledge Discovery and Extraction
Mining fields: Data Mining, Text Mining, Cloud Mining, Web Mining
Information Extraction and Retrievals
Privacy-preserving data mining
Privacy-preserving Information Retrieval
Trust management for information mining
Inference/disclosure related information mining
Privacy enhancement technologies in web environments
Privacy-preserving data integration
Data mining for security and privacy
Computational intelligence in security and privacy