We invite you to attend DMIN'16, the 2016 International Conference on Data Mining! DMIN'16 offers a 4 day single-track conference, keynote speeches by world renowned scientists, special sessions and free tutorials on all aspects of data mining. In the past, DMIN has attracted a lot of presentations in formal sessions plus keynotes, and excellent tutorials, with a lot of attendees plus many more visitors from other WORLDCOMP conferences.
DMIN'16 is part of WORLDCOMP'16. DMIN'16 is an international conference for academics and practitioners held simultaneously with other joint conferences as part of WORLDCOMP'16, The 2016 World Congress in Computer Science, Computer Engineering, and Applied Computing. WORLDCOMP'16 is one of the largest annual gatherings of researchers and practitioners in computer science, computer engineering and applied computing. Each of the joint conferences in WORLDCOMP is a premier conference for presentation of advances in their respective fields, held simultaneously in the same place to facilitate cross-disciplinary knowledge transfer. It is anticipated that WORLDCOMP'16 will attract attendees from over 85 countries/territories. Participants range from established researchers on Professorial level, starting researchers (post-doc, PhD, Masters and Bachelor level) and contract researchers unto practitioners applying all aspects of data mining in private or public companies or research institutions. DMIN'16 attendees have full access to all sessions and tutorials of all other conferences' sessions, tracks, and planned tutorials (for the complete list of joint conferences click here) as well as to the DMIN'16 social programme. WORLDCOMP is one of the largest annual conferences and promises many opportunities to present your work to an large, interdisciplinary audience and to extend our professional network. Each conference will have its own proceedings which will be indexed.
An important mission of WORLDCOMP is 'Providing a unique platform for a diverse community of constituents composed of scholars, researchers, developers, educators, and practitioners. The Congress makes concerted effort to reach out to participants affiliated with diverse entities (such as: universities, institutions, corporations, government agencies, and research centers/labs) from all over the world. The congress also attempts to connect participants from institutions that have teaching as their main mission with those who are affiliated with institutions that have research as their main mission. The congress uses a quota system to achieve its institution and geography diversity objectives. One main goal of the congress is to assemble a spectrum of affiliated research conferences, workshops, and symposiums into a coordinated research meeting held in a common place at a common time. This model facilitates communication among researchers in different fields of computer science, computer engineering, and applied computing. The Congress also encourages multi-disciplinary and inter-disciplinary research initiatives; ie, facilitating increased opportunities for cross-fertilization across sub-disciplines.'
Topics of interest encompass all aspects of Data Mining, Knowledge Discovery in Databases, Machine Learning and Computational Intelligence. These include (but are not limited to) all aspects of Data Mining, Machine Learning, Data Science, Artificial and Computational Intelligence, including: (see topics for details)
07月25日
2016
07月28日
2016
注册截止日期
2013年12月07日 美国
2013年IEEE第13届国际数据挖掘会议
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