Sciweavers

5463 search results - page 120 / 1093
» Evaluating algorithms that learn from data streams
Sort
View
KDD
2005
ACM
139views Data Mining» more  KDD 2005»
15 years 9 months ago
Learning to predict train wheel failures
This paper describes a successful but challenging application of data mining in the railway industry. The objective is to optimize maintenance and operation of trains through prog...
Chunsheng Yang, Sylvain Létourneau
PKDD
2004
Springer
102views Data Mining» more  PKDD 2004»
15 years 9 months ago
Improving the Performance of the RISE Algorithm
Ideally, a multi-strategy learning algorithm performs better than its component approaches. RISE is a multi-strategy algorithm that combines rule induction and instance-based learn...
Aloísio Carlos de Pina, Gerson Zaverucha
136
Voted
ICPADS
2006
IEEE
15 years 10 months ago
OBN: Peering for Finding Suppliers in P2P On-demand Streaming Systems
A critical issue in peer-to-peer (P2P) streaming systems is to find a peer that can provide required streaming data (eligibility determination) with good quality (quality optimiza...
Chi-Shiang Liao, Wen-Hung Sun, Chung-Ta King, Hung...
HIPC
2005
Springer
15 years 9 months ago
Orthogonal Decision Trees for Resource-Constrained Physiological Data Stream Monitoring Using Mobile Devices
Several challenging new applications demand the ability to do data mining on resource constrained devices. One such application is that of monitoring physiological data streams ob...
Haimonti Dutta, Hillol Kargupta, Anupam Joshi
KDD
2008
ACM
172views Data Mining» more  KDD 2008»
16 years 4 months ago
Structured metric learning for high dimensional problems
The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
Jason V. Davis, Inderjit S. Dhillon