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数据挖掘会议有奖征集，集思广益
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2012-05-25
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317792209
2012-5-25 10:30:39
会议名称(中文)：  2012年IEEE国际数据挖掘会议  
会议名称(英文)：  IEEE International Conference on Data Mining  
所属学科：  计算数学与科学工程计算,计算机科学理论,计算机软件,计算机应用技术  
开始日期：  2012-12-10  
结束日期：  2012-12-13  
所在国家：  比利时  
所在城市：      比利时  
具体地点：  Brussels, Belgium  
主办单位：  IEEE Computer Society  
E-MAIL：  icdm@cs.uvm.edu  
通讯地址：   
邮政编码：   
会议注册费：   
会议网站：  http://icdm2012.ua.ac.be/
会议背景介绍：  The IEEE International Conference on Data Mining series (ICDM) has established itself as the world's premier research conference in data mining. It provides an international forum for presentation of original research results, as well as exchange and dissemination of innovative, practical development experiences. The conference covers all aspects of data mining, including algorithms, software and systems, and applications.

ICDM draws researchers and application developers from a wide range of data mining related areas such as statistics, machine learning, pattern recognition, databases and data warehousing, data visualization, knowledge-based systems, and high performance computing. By promoting novel, high quality research findings, and innovative solutions to challenging data mining problems, the conference seeks to continuously advance the state-of-the-art in data mining. Besides the technical program, the conference features workshops, tutorials, panels and, since 2007, the ICDM data mining contest.

征文范围及要求：  Topics related to the design, analysis and implementation of data mining theory, systems and applications are of interest. These include, but are not limited to the following areas:

Data mining foundations
Novel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis)
Algorithms for new, structured, data types, such as arising in chemistry, biology, environment, and other scientific domains
Developing a unifying theory of data mining
Mining sequences and sequential data
Mining spatial and temporal datasets
Mining textual and unstructured datasets
High performance implementations of data mining algorithms
Mining in targeted application contexts
Mining high speed data streams
Mining sensor data
Distributed data mining and mining multi-agent data
Mining in networked settings: web, social and computer networks, and online communities
Data mining in electronic commerce, such as recommendation, sponsored web search, advertising, and marketing tasks
Methodological aspects and the KDD process
Data pre-processing, data reduction, feature selection, and feature transformation
Quality assessment, interestingness analysis, and post-processing
Statistical foundations for robust and scalable data mining
Handling imbalanced data
Automating the mining process and other process related issues
Dealing with cost sensitive data and loss models
Human-machine interaction and visual data mining
Security, privacy, and data integrity
Integrated KDD applications and systems
Bioinformatics, computational chemistry, geoinformatics, and other science & engineering disciplines
Computational finance, online trading, and analysis of markets
Intrusion detection, fraud prevention, and surveillance
Healthcare, epidemic modeling, and clinical research
Customer relationship management
Telecommunications, network and systems management
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317792209
2012-5-25 10:33:08
会议名称(中文)：  2012年第八届信息科学、科学、服务和数据挖掘新趋势国际会议  
会议名称(英文)：  2012 8th International Conference on New Trends in Information Science, Service Science and Data Mining (NISS, ICMIA and NASNIT)  
所属学科：  计算数学与科学工程计算,计算机软件,信息安全,人工智能,纳米科学与技术  
开始日期：  2012-10-23  
结束日期：  2012-10-25  
所在国家：  中华人民共和国  
所在城市：  台湾省     台北市  
具体地点：  National Taipei University of Taipei  
主办单位：  Korea Council  
全文截稿日期：  2012-08-02  
论文录用通知日期：  2012-08-31
联系人：  Dr. Franz Ko  
联系电话：  +827077302833  
传真：   
E-MAIL：  franz_ko@aicit.org     
会议网站：  http://www.aicit.org/issdm/home/index.html  
会议背景介绍：  ISSDM2012 stands for International Conference on New Trends in Information Science, Service Science and Data Mining (NISS, ICMIA and NASNIT). It is a premium international conference covers all areas related to the Theory, Development, Applications, Experiences and Evaluation of Networked/Ubiquitous Computing and gathers fellow students, researchers and practitioners in these fields from all around the world
征文范围及要求：  We especially encourage paper submissions from these categories of topics: Data mining and Intelligent IT applications, ranging from theories, algorithms, analysis, models, designs, applications to industry experiences. Topics include but not necessarily limited to the following areas:
1. Track NISS
· ISC: Issues on Service Computing
· IIS: Issues on Information Science
· ISE: Issues on Communication, energy-efficiency in Communication/Ubiquitous Computing/WSN/Mobile Network, Network and Electronics
· IMS: Issues on Information Management and Service
· IICS: Issues on Industry and Convergence Science
2. Track ICMIA
· Core Data Mining Topics
· Information Technology Applications Related Topics
· Data Mining For Intelligent IT Application Topics
3. Track NASNIT
· Issues on Nano Technology
· Issues on Information Technology
· Issues on Reliability


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317792209
2012-5-25 10:37:51
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
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317792209
2012-5-25 10:54:22
会议名称(中文)：  第9届国际巨大数据库数据安全管理研讨会  
会议名称(英文)：  9th VLDB Workshop on Secure Data Management  
所属学科：  计算机科学理论,计算机软件,计算机应用技术,管理科学与工程  
开始日期：  2012-08-27  
结束日期：  2012-08-31  
所在国家：  土耳其  
所在城市：      土耳其  
具体地点：  Istanbul, Turkey  
主办单位：  Middle East Technical University  
联系人：  Milan Petkovic  
联系电话：  +31 40 2747631  
传真：  +31 40 2746321  
E-MAIL：  al_sdm05@natlab.research.philips.com  
通讯地址：   
邮政编码：   
会议注册费：   
会议网站：  http://www.hitech-projects.com/sdm-workshop/sdm12.html  
会议背景介绍：  The 9th SDM workshop builds upon the success of the first eight workshops (SDM'04, SDM'05, SDM'06, SDM'07, SDM'08, SDM'09, SDM'10, SDM'11),  which were organized in conjunction with VLDB 2004 in Toronto, Canada, VLDB 2005 in Trondheim, Norway, VLDB 2006 in Seoul, Korea, VLDB 2007 in Vienna, Austria, VLDB 2008 in Auckland, New Zealand, VLDB 2009 in Lyon, France, VLDB 2010 in Singapore and VLDB 2011 in Seattle.
Although cryptography and security techniques have been around for quite some time, emerging technologies such as ubiquitous computing and ambient intelligence that exploit increasingly interconnected networks, mobility and personalization, put new requirements on security with respect to data management. As data is accessible anytime anywhere, according to these new concepts, it becomes much easier to get unauthorized data access. Furthermore, it becomes simpler to collect, store, and search personal information and endanger people's privacy. Therefore, research in the area of secure data management is of growing importance, attracting attention of both the data management and security research communities The interesting problems range from traditional ones such as, access control (with all variations, like dynamic, context-aware, role-based), database security (e.g. efficient database encryption schemes, search over encrypted data, etc.), privacy preserving data mining to controlled sharing of data.

The aim of the workshop is to bring together people from the security research community and data management research community in order to exchange ideas on the secure management of data. The workshop will provide forum for discussing practical experiences and theoretical research efforts that can help in solving the critical problems in secure data management. Authors from both academia and industry are invited to submit papers presenting novel research on the topics of interest (see below).

征文范围及要求：  Topics of interest include (but are not limited to) the following:

  Secure Data Management
  Database Security
  Data Anonymization/Pseudonymization
  Data Hiding
  Metadata and Security
  XML Security
  Authorization and Access Control
  Data Integrity
Privacy Preserving Data Mining
Statistical Database Security
  Control of Data Disclosure
  Private Information Retrieval
  Secure Stream Processing
   Secure Auditing
  Data Retention
  Digital and Enterprise Rights Management
  Multimedia Security and Privacy
  Private Authentication
  Identity Management
  Privacy Enhancing Technologies
  Security and Semantic Web
  Security and Privacy in Ubiquitous Computing
  Security and Privacy of Health Data
  Web Service Security
  Trust Management
  Policy Management
  Applied Cryptograp
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人脉引爆点
2012-5-25 16:18:53
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