Sciweavers

941 search results - page 40 / 189
» Adaptive Learning from Evolving Data Streams
Sort
View
117
Voted
AUSAI
2006
Springer
15 years 7 months ago
Voting Massive Collections of Bayesian Network Classifiers for Data Streams
Abstract. We present a new method for voting exponential (in the number of attributes) size sets of Bayesian classifiers in polynomial time with polynomial memory requirements. Tra...
Remco R. Bouckaert
128
Voted
IEEEAMS
2003
IEEE
15 years 8 months ago
Navigating in the Storm: Using Astrolabe for Distributed Self-Configuration, Monitoring and Adaptation
The dramatic growth of computer networks creates both an opportunity and a daunting distributed computing problem for users seeking to build applications that can configure themse...
Kenneth P. Birman, Robbert van Renesse, James Kauf...
149
Voted
KDD
2003
ACM
148views Data Mining» more  KDD 2003»
16 years 3 months ago
Mining concept-drifting data streams using ensemble classifiers
Recently, mining data streams with concept drifts for actionable insights has become an important and challenging task for a wide range of applications including credit card fraud...
Haixun Wang, Wei Fan, Philip S. Yu, Jiawei Han
SIGMOD
2010
ACM
231views Database» more  SIGMOD 2010»
15 years 8 months ago
Automatically incorporating new sources in keyword search-based data integration
Scientific data offers some of the most interesting challenges in data integration today. Scientific fields evolve rapidly and accumulate masses of observational and experiment...
Partha Pratim Talukdar, Zachary G. Ives, Fernando ...
135
Voted
COMPUTER
2010
127views more  COMPUTER 2010»
15 years 28 days ago
Data Stream Management Systems for Computational Finance
Computational finance leverages computer technologies to build models from large amounts of data to extract insight. In today's networked world, the amount of data available t...
Badrish Chandramouli, Mohamed H. Ali, Jonathan Gol...