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Call for Papers
The Second International Conference on Advanced Data Mining and Applications(ADMA'06)
14-16 August 2006, Xi'An China, http://www.itee.uq.edu.au/~adma06/

        Xi’An is one of the most ancient cities in China. It has one of the world wanders of Terra Cotta Warriors buried in Qin Dynasty, more than 2000 years ago, and was uncovered in 1970s.
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’An, 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’An to give keynote speeches.
 
        The proceedings of the conference will be published by Springer:  in its Lecture Notes in Computer Science series.
The paper should be in English and contain unpublished contributions to the data mining fields. 
Key Topics:
The ADMA?6?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


更新时间:2005-11-20
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