Call for Papers
CDMASCC (The Chinese Data Mining and Applied Statistics Cross-Strait Conference) is the leading, independent provider of Data mining and disseminator of best practice to the statistical learning. It is a premium Cross-Strait conference related to the Data Mining theory, Development, Applications of Data Mining and statistical learning. In this conference, researchers from all around the cross-strait areas can share their experience and knowledge of Data Mining.
Scope and Topics
The theory and application of data mining and statistical learning in both areas had made remarkable achievements. Topics of interest are specified on the scope and topics page. High quality submissions are invited for technical papers describing original unpublished results of theoretical, empirical, conceptual or experimental research. Papers should describe a new contribution to Data Mining and should support claims of novelty with citations to the relevant literature.
- Topic1: text Mining and semi-structured data, and mining temporal, spatial and multimedia data
- Topic2: Data mining applications in bioinformatics, electronic commerce, Web, intrusion detection, finance, marketing, healthcare, telecommunications and other fields
- Topic3: Complexity, efficiency, and scalability issues in Data mining
- Topic4: Soft computing (including neural networks, fuzzy logic, evolutionary computation, and rough sets) and uncertainty management for data mining
- Topic5: Communication in Statistics learning: Simulation and Computation
- Topic6: Integration of data warehousing, OLAP and data mining
- Topic7: Other topics in data mining and applied statistics
Track 1: Research Results
The purpose of the Research Track is to present and discuss the latest, best, and most important research results in the research field of Data Mining and Statistical Learning.
Track 2: Data mining Experiences
The purpose of the Data Mining Experience is to establish a meaningful forum between practitioners and researchers with useful solutions in various organizational environments, diverse systems or different cultures. The Technical Experience of Data mining includes all kind of practical applications which are theory, projects, missions, techniques, tools, methods, processes, and etc.
The Seventh Chinese Data Mining and Applied Statistics Cross-Strait Conference (CDMASCC) to be held 5 June - 6 June 2010 in Renmin University of China Beijing, China.The conference schedule includes Conference dates, concrete Scope and Topics, deadline for paper submission, deadline for registration:
- Conference dates: June 5, 2010~ June 6, 2010
- Deadline for paper submission: May 21, 2010
- Deadline for registration: May 28, 2010
- Deadline for English paper submission: March 22,2010 ( The received papers will be investigated. After investigation, CDMASCC will make known the admission papers in the conference website and published in Journal of data analysis special issue.
The excellent paper will be published to Journal of Data Analysis─The Seventh Chinese Data Mining and Applied Statistics Cross-Strait Conference special issue. Part of excellent English papers will be published in a Special Issue of Communications in Statistics —Theory and Methods (SCI) on “The Seventh Chinese Data Mining and Applied Statistics Cross-Strait Conference”.
The Sixth Chinese Data Mining and Applied Statistics Cross-Strait Conference’s articles has been published to Journal of Data Analysis(TSSCI reviewed)─the two special issues, Volume 4 number 4 and Volume 4 number 5.
Sign up
- Fill out the receipt to e-mail (datamining2009@yahoo.cn) or fax (8610- 62515246).
- consulting line: 010-82500131 address: Address: The School of Statistics, Renmin University of China, 59 Zhongguancun Ave., Beijing, 100872, China. zip code: 100872
- Closing date: May 30, 2010.
- Meeting fees: RMB$ 300/people, specially invited experts, thesis candidates (every paper limit an author waive fee. Conference provides lunch. Delegates for travel expenses, accommodation themselves.
- Students with valid identity fee-free.
Organizer
- The School of Statistics, Renmin University of China
Operator
- Center for Applied Statistics of Renmin University of China
- Institute of Statistical Survey of Renmin University of China
- Institute of Mathematic Statistics of Renmin University of China
- Data Mining Center (DMC) of Renmin University of China
- Chunghwa Data Mining Society (Taiwan)
- Fu-Jen Catholic University Department of Statistics and Information Science(Taiwan)
- Data Mining Center, National Chengchi University (Taiwan)
Co-Organizer
- The School of Statistics, Central University of Finance and Economics
- The School of Statistics, Capital University of Economic and Business
- Department of Planning &Statistics, Xiamen University
- ChungHwa Data Mining Association