感谢坛友317792209支持
会议名称(中文)：  第八届国际先进数据挖掘技术与应用大会  
会议名称(英文)：  8th International Conference on Advanced Data Mining and Applications  
所属学科：  计算机科学理论,计算机软件,计算机应用技术  
开始日期：  2012-09-15  
结束日期：  2012-09-18  
所在国家：  中华人民共和国  
所在城市：  江苏省     南京市  
具体地点：   
主办单位：  Nanjing University of Finance and Economics  
联系电话：  +86-25-8349-3900  
传真：   
E-MAIL：  ADMA2012.njue@gmail.com  
通讯地址：   
邮政编码：   
会议注册费：   
会议网站：  http://adma2012.njue.edu.cn/  
会议背景介绍：  The 8th International Conference on Advanced Data Mining and Applications (ADMA 2012) will take place in Nanjing, China, 15th-18th December 2012. It builds on the success of the series of seven previous events from 2005 to 2011 in Wuhan (2005), Xi'an (2006), Harbin (2007), Chengdu (2008), Beijing (2009 & 2011) and Chongqing (2010). In these events many members of the practitioner and research communities valued the rich exchange of ideas made possible by the shared plenary sessions. ADMA 2012 will promote the same close interaction among practitioners and researchers. Published papers will go through a full peer review process.
The proceedings of the conference will be published by Springer in its Lecture Notes in Artificial Intelligence (LNAI) series. Authors of high-quality papers will be invited to submit revised and expanded version of their papers to be considered for publication in a special issue on Knowledge and Information Systems (KAIS), indexed by SCI.
征文范围及要求：  We call for papers on any topics of advanced data mining and applications, including but not limited to:
* Advanced Data Mining Techniques
- Scalable data preprocessing and cleaning techniques
- Social network mining
- Social search and analysis
- Collective intelligence in the social Web
- Parallel and distributed data mining algorithms
- Mining on data streams
- Graph and subgraph mining
- Methodologies on large-scale data mining
- Text, video, multimedia data mining
- Web mining
- High performance data mining algorithms
- Modeling complex social systems
- Evolution of social communities and social media
- Collaborative filtering in social networks
- Data mining visualization
- Security and privacy issues
- Competitive analysis of mining algorithms
* Advanced Data Mining Applications
- Data mining systems in finance, sciences, retail, e-commerce
- Emerging applications of large-scale data mining
- Empirical study of data mining algorithms
- Parallel data mining applications
- DNA sequencing, bioinformatics, genomics, and biometrics
- E-commerce and Web services
- Medical informatics
- Disaster prediction
- Financial market analysis
- Intelligent system
- Application of data mining in education