About This Special Issue
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 policy analysis
- Privacy-preserving data integration
- Privacy policy infrastructure
- Data mining for security and privacy
- Computational intelligence in security and privacy
- Intrusion, anomaly and fraud detection
- Data-driven access control
- Secure cloud computing
- Secure multi-party computation
- Data privacy
- Sensitive data collection
