(mobo import Concept___Events-migrated) |
(mobo import Concept___Events-migrated) |
||
| Line 6: | Line 6: | ||
|City=Vancouver | |City=Vancouver | ||
|Country=Country:CA | |Country=Country:CA | ||
| − | |||
| − | |||
| − | |||
| − | |||
|pageCreator=Christiane | |pageCreator=Christiane | ||
|pageEditor=Christiane | |pageEditor=Christiane | ||
| Line 21: | Line 17: | ||
|Event Mode=on site | |Event Mode=on site | ||
}} | }} | ||
| + | {{Event Deadline | ||
| + | |Paper Deadline=2011/06/17 | ||
| + | |Tutorial Deadline=2011/08/01 | ||
| + | |Camera-Ready Deadline=2011/10/14 | ||
| + | |Submission Deadline=2011/06/17 | ||
| + | }} | ||
| + | {{S Event}} | ||
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. | 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. | 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. | ||
Revision as of 19:51, 22 September 2022
|
||
| Submission |
|
||
| Paper |
|
||
| Tutorial |
|
||
| Camera-Ready |
Marriott Pinnacle Downtown, Vancouver, British Columbia, Canada
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.
