Database 2014 - The 4th Database 2014 workshop
Topics/Call fo Papers
The 4th Database 2014 workshop will be the most comprehensive workshop focused on the various aspects of advances inDatabase. Our workshop provides a chance for academic and industry professionals to discuss recent progress in the area of Database.
The goal of this conference is to bring together the researchers from academia and industry as well as practitioners to share ideas, problems and solutions relating to the multifaceted aspects of the Database.
TOPICS
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 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
The goal of this conference is to bring together the researchers from academia and industry as well as practitioners to share ideas, problems and solutions relating to the multifaceted aspects of the Database.
TOPICS
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 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
Other CFPs
Last modified: 2014-05-21 22:31:07