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ICDM
2008
IEEE
235views Data Mining» more  ICDM 2008»
15 years 5 months ago
DECK: Detecting Events from Web Click-Through Data
In the past few years there has been increased research interest in detecting previously unidentified events from Web resources. Our focus in this paper is to detect events from ...
Ling Chen 0002, Yiqun Hu, Wolfgang Nejdl
ICDM
2010
IEEE
199views Data Mining» more  ICDM 2010»
14 years 8 months ago
Addressing Concept-Evolution in Concept-Drifting Data Streams
Abstract--The problem of data stream classification is challenging because of many practical aspects associated with efficient processing and temporal behavior of the stream. Two s...
Mohammad M. Masud, Qing Chen, Latifur Khan, Charu ...
KDD
1999
ACM
199views Data Mining» more  KDD 1999»
15 years 2 months ago
The Application of AdaBoost for Distributed, Scalable and On-Line Learning
We propose to use AdaBoost to efficiently learn classifiers over very large and possibly distributed data sets that cannot fit into main memory, as well as on-line learning wher...
Wei Fan, Salvatore J. Stolfo, Junxin Zhang
SDM
2003
SIAM
129views Data Mining» more  SDM 2003»
14 years 12 months ago
Approximate Query Answering by Model Averaging
In earlier work we have introduced and explored a variety of different probabilistic models for the problem of answering selectivity queries posed to large sparse binary data set...
Dmitry Pavlov, Padhraic Smyth
PVLDB
2010
132views more  PVLDB 2010»
14 years 9 months ago
CoDA: Interactive Cluster Based Concept Discovery
Large data resources are ubiquitous in science and business. For these domains, an intuitive view on the data is essential to fully exploit the hidden knowledge. Often, these data...
Stephan Günnemann, Ines Färber, Hardy Kr...