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» Experimental perspectives on learning from imbalanced data
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SIGKDD
2000
139views more  SIGKDD 2000»
13 years 7 months ago
Support Vector Machines: Hype or Hallelujah?
Support Vector Machines (SVMs) and related kernel methods have become increasingly popular tools for data mining tasks such as classification, regression, and novelty detection. T...
Kristin P. Bennett, Colin Campbell
KDD
1998
ACM
190views Data Mining» more  KDD 1998»
13 years 12 months ago
Time Series Forecasting from High-Dimensional Data with Multiple Adaptive Layers
This paper describes our work in learning online models that forecast real-valued variables in a high-dimensional space. A 3GB database was collected by sampling 421 real-valued s...
R. Bharat Rao, Scott Rickard, Frans Coetzee
IJCNLP
2004
Springer
14 years 1 months ago
Word Folding: Taking the Snapshot of Words Instead of the Whole
The snapshot of a word means the most informative fragment of the word. By taking the snapshot instead of the whole, the value space of the lexical feature can be significantly r...
Jin-Dong Kim, Jun-ichi Tsujii
WWW
2008
ACM
14 years 8 months ago
Genealogical trees on the web: a search engine user perspective
This paper presents an extensive study about the evolution of textual content on the Web, which shows how some new pages are created from scratch while others are created using al...
Ricardo A. Baeza-Yates, Álvaro R. Pereira J...
ICDE
2006
IEEE
95views Database» more  ICDE 2006»
14 years 9 months ago
Learning from Aggregate Views
In this paper, we introduce a new class of data mining problems called learning from aggregate views. In contrast to the traditional problem of learning from a single table of tra...
Bee-Chung Chen, Lei Chen 0003, Raghu Ramakrishnan,...