[ACM Press the Data Mining and Intelligent Knowledge Management Workshop - Beijing, China (2012.08.12-2012.08.16)] Proceedings of the Data Mining and Intelligent Knowledge Management Workshop on - DM-IKM '12 - An ensemble clustering model for mining concept drifting stream data in emergency management
โ Scribed by Zhang, Yong; Peng, Yi; Li, Jun; Kou, Gang; Shi, Yong
- Book ID
- 124079509
- Publisher
- ACM Press
- Year
- 2012
- Weight
- 307 KB
- Category
- Article
- ISBN
- 1450315518
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
With the rapid development of advanced data acquisition techniques such as high-throughput biological experiments and wireless sensor networks, large amount of graph-structured data, graph data for short, have been collected in a wide range of applications. Discovering knowledge from graph data has
A common problem with most of the feature selection methods is that they often produce feature sets-models-that are not stable with respect to slight variations in the training data. Different authors tried to improve the feature selection stability using ensemble methods which aggregate different f