DBTA 2010 - The 2nd International Workshop on Database Technology and Applications

Website www.icdbta.org/dbta2010 | Edit Freely

Category Database;

Deadline: August 18, 2010 | Date: November 27, 2010

Venue/Country: Wuhan, China

Updated: 2010-06-04 19:32:22 (GMT+9)

Call For Papers - CFP

The best papers presented at the conference will be selected for publications in the following International Journals:

Journal of Computers ( ISSN 1796-203X, EI Compendex)

Journal of Multimedia (ISSN : 1796-2048, EI Compendex)

Journal of Networks (ISSN 1796-2056,EI Compendex)

Authors are invited to submit original unpublished manuscripts that demonstrate recent advances the following areas of interest, but are not limited to:

1. Database and Related Issue

Temporal Data

Scientific Databases

Business database software

Computer data processing

Data processing services

Data processing supplies

Data processing systems

Metadata Management

Mobile Data and Information

Multimedia Databases

WWW and Databases

Workflow Management and Databases

XML and Databases

Multimedia Databases

Data modelling and architectures

Data streaming, data provenance and data quality

Data Security, privacy, and data integrity

Web Data and the Internet

XML and databases, web services

Semi-structured data, metadata

e-commence

2. Data warehouse and Data mining

Grid/Parallel/distributed data warehousing

Web/multimedia data warehouses

Data warehousing and the semantic web

Data warehousing with unstructured data

Integration of Data Warehousing

Data and knowledge representation

Languages and interfaces for data mining

Data integration and interoperability

Data extraction, cleansing, transforming and loading

Data mining and information extraction

KDD Process and Human Interaction

OLAP and Data Mining

Parallel and Distributed Data Mining

Physical database design and performance evaluation

Query processing and optimization

Reliability and Robustness Issues

Semantic web and ontologies

Software Warehouse and Software Mining

Social and mathematical statistics

Novel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis)

Developing a unifying theory of data mining

Mining sequences and sequential data

Data pre-processing, data reduction, feature selection, and feature transformation

Quality assessment, interestingness analysis, and post-processing

Mining unstructured, semi-structured, and structured data

Mining temporal, spatial, spatio-temporal data

Mining data streams and sensor data

Mining multimedia data

Mining social network data

Human-machine interaction and visual data mining

Data mining applications(bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)

Knowledge Acquisition & Management

Knowledge Modelling

Knowledge Processing

Integrated KDD applications and systems

Business Process Intelligence

Cluster Analysis and Knowledge Base system

Information systems technology

Other related technology about data mining

3. Computer Science and Related Technology

Image and singnal processing

Artificial Intelligence

Software engineering

Systems Engineering

Computer Graphics

Computer Application

Control Technology

Network Technology

Network security

Numerical and symbolic computation

Computer Modeling and Simulation

Communication Technology

Algorithms and data structures

Computer Education

Other Advanced Technology