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» Data Mining of Multi-categorized Data
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ICDM
2005
IEEE
138views Data Mining» more  ICDM 2005»
16 years 19 days ago
Labeling Unclustered Categorical Data into Clusters Based on the Important Attribute Values
Sampling has been recognized as an important technique to improve the efficiency of clustering. However, with sampling applied, those points which are not sampled will not have t...
Hung-Leng Chen, Kun-Ta Chuang, Ming-Syan Chen
KDD
1999
ACM
104views Data Mining» more  KDD 1999»
15 years 11 months ago
Learning Rules from Distributed Data
In this paper a concern about the accuracy (as a function of parallelism) of a certain class of distributed learning algorithms is raised, and one proposed improvement is illustrat...
Lawrence O. Hall, Nitesh V. Chawla, Kevin W. Bowye...
SDM
2007
SIAM
198views Data Mining» more  SDM 2007»
15 years 8 months ago
Learning from Time-Changing Data with Adaptive Windowing
We present a new approach for dealing with distribution change and concept drift when learning from data sequences that may vary with time. We use sliding windows whose size, inst...
Albert Bifet, Ricard Gavaldà
221
Voted
AVI
2004
15 years 8 months ago
SWAPit: a multiple views paradigm for exploring associations of texts and structured data
Visualization interfaces that offer multiple coordinated views on a particular set of data items are useful for navigating and exploring complex information spaces. In this paper ...
Andreas Becks, Christian Seeling
ICDM
2010
IEEE
216views Data Mining» more  ICDM 2010»
15 years 5 months ago
Data Editing Techniques to Allow the Application of Distance-Based Outlier Detection to Streams
The problem of finding outliers in data has broad applications in areas as diverse as data cleaning, fraud detection, network monitoring, invasive species monitoring, etc. While th...
Vit Niennattrakul, Eamonn J. Keogh, Chotirat Ann R...