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» Mining discriminative items in multiple data streams
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WSDM
2009
ACM
136views Data Mining» more  WSDM 2009»
15 years 4 months ago
Mining common topics from multiple asynchronous text streams
Text streams are becoming more and more ubiquitous, in the forms of news feeds, weblog archives and so on, which result in a large volume of data. An effective way to explore the...
Xiang Wang 0002, Kai Zhang, Xiaoming Jin, Dou Shen
JCST
2007
76views more  JCST 2007»
14 years 9 months ago
A Semi-Random Multiple Decision-Tree Algorithm for Mining Data Streams
Xuegang Hu, Pei-Pei Li, Xindong Wu, Gong-Qing Wu
PKDD
2010
Springer
138views Data Mining» more  PKDD 2010»
14 years 8 months ago
Constructing Nonlinear Discriminants from Multiple Data Views
There are many situations in which we have more than one view of a single data source, or in which we have multiple sources of data that are aligned. We would like to be able to bu...
Tom Diethe, David R. Hardoon, John Shawe-Taylor
JIIS
2007
150views more  JIIS 2007»
14 years 9 months ago
Towards a new approach for mining frequent itemsets on data stream
Mining frequent patterns on streaming data is a new challenging problem for the data mining community since data arrives sequentially in the form of continuous rapid streams. In t...
Chedy Raïssi, Pascal Poncelet, Maguelonne Tei...
CIDM
2007
IEEE
14 years 9 months ago
SSM : A Frequent Sequential Data Stream Patterns Miner
Data stream applications like sensor network data, click stream data, have data arriving continuously at high speed rates and require online mining process capable of delivering c...
C. I. Ezeife, Mostafa Monwar