会议信息

DTA 2015: International Conference on Database Theory and Application

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截稿日期:
2015-10-10
通知日期:
2015-10-30
会议日期:
2015-11-25
会议地点:
Jeju Island, Korea
届数:
8
浏览: 19827   关注: 0   参加: 0
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征稿

DTA 2015 (International Conference on Database Theory and Application) is an academic conference held in Jeju Island, Korea on 2015-11-25. The paper submission deadline is 2015-10-10. Acceptance notifications are sent on 2015-10-30.

Our Conference provides a chance for academic and industry professionals to discuss recent progress in the area of Database Theory and Application. Topics of Conference The main topics include but will not be limited to: (Excellent surveying works in these areas are welcome, too.) Advanced databases (object-oriented DB, web-based DB, multimedia DB, temporal and spatial DB, deductive and active DB, etc.) Biomedical and healthcare data mining privacy Classification and Ranking Clustering Cryptographic tools for privacy preserving data mining Data and Knowledge Visualization Data integration and interoperability Data management for ubiquitous and mobile computing Data mining and information extraction Data modelling and architectures Data provenance Data quality Data security, privacy and trust Data streaming Dynamic Data Mining Heterogeneous databases Inference and disclosure control for data mining Integration of Data Warehousing Interactive and Online Mining Intermittently connected data KDD Process and Human Interaction Mining Trends, Opportunities or Risks OLAP and Data Mining Parallel and Distributed Data Mining Physical database design and performance evaluation Privacy and security when mining outsourced data Privacy preserving data aggregation and integration Privacy Preserving Data Mining Privacy threats due to data mining Query processing and optimisation Reliability and Robustness Issues Scientific Databases Security and privacy in spatio-temporal data mining Semantic web and ontologies Semi-structured data, metadata Software Warehouse and Software Mining Temporal Data Text Mining Trust management for data mining Web Data and the Internet XML and databases, web services Data Analysis Social and mathematical statistics Others
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