Data Mining - Mehmed Kantardzic [266]
A.2 DATA-MINING CONFERENCES
1. SIAM International Conference on Data Mining, SDM
http://www.siam.org/meetings/
This conference provides a venue for researchers who are addressing extracting knowledge from large datasets that requires the use of sophisticated, high-performance and principled analysis techniques and algorithms, based on sound theoretical and statistical foundations. It also provides an ideal setting for graduate students and others new to the field to learn about cutting-edge research by hearing outstanding invited speakers and attending presentations and tutorials (included with conference registration). A set of focused workshops are also held in the conference. The proceedings of the conference are published in archival form, and are also made available on the SIAM Web site.
2. The ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
http://sigkdd.org/conferences.php
The annual ACM SIGKDD conference is the premier international forum for data-mining researchers and practitioners from academia, industry, and government to share their ideas, research results, and experiences. It features keynote presentations, oral paper presentations, poster sessions, workshops, tutorials, panels, exhibits, and demonstrations. Authors can submit their original work either to SIGKDD Research track or SIGKDD Industry/Government track. The research track accepts papers on all aspects of knowledge discovery and data mining overlapping with topics from machine learning, statistics, databases, and pattern recognition. Papers are expected to describe innovative ideas and solutions that are rigorously evaluated and well presented. The Industrial/Government track highlights challenges, lessons, concerns, and research issues arising out of deploying applications of KDD technology. The focus is on promoting the exchange of ideas between researchers and practitioners of data mining.
3. IEEE International Conference on Data Mining (ICDM)
http://www.cs.uvm.edu/∼icdm/
The IEEE ICDM has established itself as the world’s premier research conference in data mining. The conference provides a leading 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. In addition, 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 will feature workshops, tutorials, panels, and the ICDM data-mining contest.
4. International Conference on Machine Learning and Applications (ICMLA)
http://www.icmla-conference.org/
The aim of the conference is to bring researchers working in the areas of machine learning and applications together. The conference will cover both theoretical and experimental research results. Submission of machine-learning papers describing machine-learning applications in fields like medicine, biology, industry, manufacturing, security, education, virtual environments, game playing, and problem solving is strongly encouraged.
5. The World Congress in Computer Science Computer Engineering and Applied Computing (WORLDCOMP)
http://www.world-academy-of-science.org/
WORLDCOMP is the largest annual gathering of researchers in computer