115 search results - page 5 / 23 » Decision Tree for Dynamic and Uncertain Data Streams |
ICIP
2009
IEEE
13 years 3 months ago
2009
IEEE
Decision trees have been widely used for online learning classification. Many approaches usually need large data stream to finish decision trees induction, as show notable limitat...
KIVS
2009
Springer
14 years 9 days ago
2009
Springer
Abstract. In peer-to-peer based live streaming systems, a great number of participants have to cooperate to efficiently and reliably distribute a continuous flow of data. Each rec...
KDD
2010
ACM
13 years 9 months ago
2010
ACM
Classification is one of the most essential tasks in data mining. Unlike other methods, associative classification tries to find all the frequent patterns existing in the input...
ECCC
2007
13 years 5 months ago
2007
We study the notion of learning in an oblivious changing environment. Existing online learning algorithms which minimize regret are shown to converge to the average of all locally...
SIGMOD
1999
ACM
13 years 10 months ago
1999
ACM
Classification is an important data mining problem. Given a training database of records, each tagged with a class label, the goal of classification is to build a concise model ...