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IADIS
2008
15 years 8 months ago
KDD, SEMMA and CRISP-DM: a parallel overview
In the last years there has been a huge growth and consolidation of the Data Mining field. Some efforts are being done that seek the establishment of standards in the area. Includ...
Ana Azevedo, Manuel Filipe Santos
JUCS
2008
125views more  JUCS 2008»
15 years 6 months ago
Improving AEH Courses through Log Analysis
: Authoring in adaptive educational hypermedia environment is complex activity. In order to promote a wider application of this technology, the teachers and course designers need s...
César Vialardi Sacín, Javier Bravo, ...
SDM
2007
SIAM
187views Data Mining» more  SDM 2007»
15 years 8 months ago
Topic Models over Text Streams: A Study of Batch and Online Unsupervised Learning
Topic modeling techniques have widespread use in text data mining applications. Some applications use batch models, which perform clustering on the document collection in aggregat...
Arindam Banerjee, Sugato Basu
KDD
2004
ACM
139views Data Mining» more  KDD 2004»
16 years 6 months ago
Learning a complex metabolomic dataset using random forests and support vector machines
Metabolomics is the omics science of biochemistry. The associated data include the quantitative measurements of all small molecule metabolites in a biological sample. These datase...
Young Truong, Xiaodong Lin, Chris Beecher
KDD
2004
ACM
126views Data Mining» more  KDD 2004»
16 years 6 months ago
Turning CARTwheels: an alternating algorithm for mining redescriptions
We present an unusual algorithm involving classification trees-CARTwheels--where two trees are grown in opposite directions so that they are joined at their leaves. This approach ...
Naren Ramakrishnan, Deept Kumar, Bud Mishra, Malco...