IEEE Symposium on Computational Intelligence and Data Mining (CIDM 2007) will bring together scientists, engineers and students from around the world to beautiful Honolulu, Hawaii, April 1-5, 2007 to discuss the latest advances in the field of computational intelligence applied to issues in data mining.
This conference will provide a forum for the presentation of recent results in data mining algorithms, applications, software and data mining systems. Some of the topics covered include applications of computational intelligence technologies, such as neural networks, graphical models and fuzzy systems for data modeling and data understanding, new approaches for handling uncertainty, evolutionary computation and other emerging optimization techniques in the following or similar areas: 数据挖掘研究院
- CI/probabilistic/statistical and other methods
- Data understanding, rule extraction, logical models
- Feature extraction, selection, aggregation, construction
- Multimedia data mining, recognition and interpretation of image and video sequences
- Mining of signals and data streams
- Mining spatial and temporal data
- Mining of very large datasets, scalability
- Text and web mining
- Metalearning, predictive data mining
- Visual data mining
- Applications to: biometrics, biomedicine, chemistry, drug design, e-commerce, engineering, finance and marketing research, intelligence, industry, remote sensing, scientific data mining, security, sensory networks and others
- Case studies
Additional information on the IEEE Symposium Series on Computational Intelligence is available at www.ieee-ssci.org 数据挖掘研究院
