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» Evaluating algorithms that learn from data streams
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CORR
2004
Springer
82views Education» more  CORR 2004»
14 years 10 months ago
Schema-based Scheduling of Event Processors and Buffer Minimization for Queries on Structured Data Streams
We introduce an extension of the XQuery language, FluX, that supports event-based query processing and the conscious handling of main memory buffers. Purely event-based queries of...
Christoph Koch, Stefanie Scherzinger, Nicole Schwe...
84
Voted
APWEB
2005
Springer
15 years 3 months ago
An Incremental Subspace Learning Algorithm to Categorize Large Scale Text Data
The dramatic growth in the number and size of on-line information sources has fueled increasing research interest in the incremental subspace learning problem. In this paper, we pr...
Jun Yan, QianSheng Cheng, Qiang Yang, Benyu Zhang
KDD
2002
ACM
186views Data Mining» more  KDD 2002»
15 years 10 months ago
Topic-conditioned novelty detection
Automated detection of the first document reporting each new event in temporally-sequenced streams of documents is an open challenge. In this paper we propose a new approach which...
Yiming Yang, Jian Zhang, Jaime G. Carbonell, Chun ...
CIKM
1997
Springer
15 years 2 months ago
Learning Belief Networks from Data: An Information Theory Based Approach
This paper presents an efficient algorithm for learning Bayesian belief networks from databases. The algorithm takes a database as input and constructs the belief network structur...
Jie Cheng, David A. Bell, Weiru Liu
IPPS
2006
IEEE
15 years 4 months ago
Supporting self-adaptation in streaming data mining applications
There are many application classes where the users are flexible with respect to the output quality. At the same time, there are other constraints, such as the need for real-time ...
Liang Chen, Gagan Agrawal