Difference between revisions of "ICDM 2015"
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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. | 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. | ||
Latest revision as of 19:44, 1 April 2022
| ICDM 2015 | |
|---|---|
15th IEEE International Conference on Data Mining
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| Event in series | ICDM |
| Dates | 2015/11/14 (iCal) - 2015/11/17 |
| Homepage: | icdm2015.stonybrook.edu/ |
| Location | |
| Location: | Atlantic City, New Jersey, USA |
| Important dates | |
| Submissions: | 2015/06/03 |
| Papers: | Submitted 807 / Accepted 68 (8.4 %) |
| Table of Contents | |
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.
Topics of Interest:
Topics of interest include, but are not limited to:
- Foundations, algorithms, models, and theory of data mining
- Machine learning and statistical methods for data mining
- Mining text, semi-structured, spatio-temporal, streaming, graph, web, multimedia data
- Data mining systems and platforms, their efficiency, scalability, and privacy
- Data mining in modeling, visualization, personalization, and recommendation
- Applications of data mining in all domains including social, web, bioinformatics, and finance