Advanced Data Mining and Applications 2006 (ADMA2006)
Venue: Xi\'An Jiaotong University
|Event Date/Time: Aug 14, 2006||End Date/Time: Aug 16, 2006|
|Registration Date: May 27, 2006|
|Early Registration Date: May 27, 2006|
|Abstract Submission Date: Mar 02, 2006|
|Paper Submission Date: Mar 02, 2006|
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. (to be confirmed)
The paper should be in English and contain unpublished contributions to the data mining fields.
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
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
DNA Sequencing, Bioinformatics, Genomics, and biometrics
E-commerce and Web services
Financial market analysis