The 1st International Conference on Advanced Data Mining and Applications (ADMA 2005) was successfully held in Wuhan University and the proceedings were published in LNAI 3584 by Springer. Now we are looking for another success of ADMA06 to be held in Xi鈥橝n, China in 2006.
A growing attention has been paid to the study, development and application of data mining. As a result there is an urgent need for sophisticated techniques and tools that can handle new fields of data mining, e.g. spatial data mining in the context of spatial-temporal characteristics. Our knowledge on data mining should also have to be expanded to new applications.
The 2nd International Conference on Advanced Data Mining and Applications (ADMA2006) aims at bringing together the experts on data mining in the world, and provides a leading international forum for the dissemination of original research results in data mining, spanning applications, algorithms, software and systems, and different applied disciplines with potential in data mining.
Professor Jiawei Han and other prominent data mining key researchers will come to Xi鈥橝n to give keynote speeches.
The proceedings of the conference will be published by Springer: in its Lecture Notes in Computer Science series. (to be confirmed)
The paper should be in English and contain unpublished contributions to the data mining fields.
Key Topics:
The ADMA 2006 includes but is not limited to the following topics:
Advanced Data Mining Topics
Grand challenges of data mining
Parallel and distributed data mining algorithms
Mining on data streams
Graph and subgraph mining
Spatial data mining
Text video, multimedia data mining
Web mining
Correlation mining
High performance data mining algorithms
Bench marking and evaluations
Data-mining-ready structures and pre-processing
Interactive data mining
Data mining visualization
Security and privacy issues
Information hiding in data mining
Competitive analysis of mining algorithms
Data Mining Applications
Database administration, indexing, performance tuning
Grid Computing
DNA Sequencing, Bioinformatics, Genomics, and biometrics
Image interpretations
Medical informatics
E-commerce and Web services
Disaster prediction
Remote monitoring
Financial market analysis
Online filtering
Special Issue on Data Management
Journal of Computer Science and Technology (http://jcst.ict.ac.cn/)
Data management is a major area of computer science and an active area for research. Data management also plays an important role in IT industry. In recent years, a lot of new research issues and solutions emerge in this area. Nowadays, many new applications and technology trends affect data management. The Internet, Web, science, eCommerce, and cheap microsensors are enormous sources of data and data-processing demands. For example, sciences including physics, biology and health are generating large and complex data sets which need more advanced data management technology to process. With the rapid development of hardware and software techniques, original research assumptions are being re-evaluated so that many traditional research topics such as data models, access methods, query processing algorithms, and query languages are valued to be restudied although they have been well studied before. There are research challenges on all aspects of data management.
This special issue will bring together practitioners and researchers to work on all the new issues of Data Management, and encourages the submission of original research work including novel approaches in data management, visions that present new viewpoints and challenges. Topics of interest include (but are not limited to):
l Approximation, uncertainty, and probabilistic databases
l Benchmarking and performance evaluation
l Database Keyword Search
l Data cleaning, transformation, migration, and lineage
l Data mining and knowledge discovery
l Data models, semantics, and query languages
l Data privacy and security
l Data stream and publish-subscribe systems
l Data warehousing and OLAP
l Digital libraries
l Embedded, sensor, and mobile databases
l Metadata management
l Middleware and workflow management
l Multimedia databases
l Optimization, performance, availability, and reliability
l Parallel, distributed, and heterogeneous databases
l Peer-to-peer and networked data management
l Personalized information systems
l Physical database design, indexing, and tuning
l Replication, caching, and view management
l Scientific, biological, and statistical databases
l Spatial, temporal, and real-time databases
l Storage and transaction management
l Text databases and information retrieval
l User interfaces and data visualization
l Web information and Web services
l XML and semi-structured databases
SUBMISSION IMPORTANT DATES:
l Deadline for Submission: 2006.5.1
l Notification of Acceptance: 2006.7.1
l Final Papers due: 2006.8.1
l Planned Publication: 2006.9
Please submit your paper(s) to the guest editors:
Prof. Wang Shan (swang@ruc.edu.cn) and Prof. Li Jianzhong (lijzh@hope.hit.edu.cn)