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» Combining classifiers to identify online databases
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ICDE
2008
IEEE
153views Database» more  ICDE 2008»
14 years 6 months ago
Automatically Extracting Form Labels
We describe a machine-learning-based approach for extracting attribute labels from Web form interfaces. Having these labels is a requirement for several techniques that attempt to ...
Hoa Nguyen, Eun Yong Kang, Juliana Freire
BMCBI
2010
109views more  BMCBI 2010»
13 years 5 months ago
Pripper: prediction of caspase cleavage sites from whole proteomes
Background: Caspases are a family of proteases that have central functions in programmed cell death (apoptosis) and inflammation. Caspases mediate their effects through aspartate-...
Mirva Piippo, Niina Lietzén, Olli Nevalaine...
DEXAW
2010
IEEE
190views Database» more  DEXAW 2010»
13 years 1 months ago
A Comparison of Stylometric and Lexical Features for Web Genre Classification and Emotion Classification in Blogs
In the blogosphere, the amount of digital content is expanding and for search engines, new challenges have been imposed. Due to the changing information need, automatic methods are...
Elisabeth Lex, Andreas Juffinger, Michael Granitze...
ECIS
2003
13 years 6 months ago
Using online services in untrusted environments: a privacy-preserving architecture
While online service providers are sometimes accused of forwarding identifying customer information as name and address to untrusted third parties, comparatively little attention ...
Claus Boyens, Oliver Günther
WSDM
2012
ACM
283views Data Mining» more  WSDM 2012»
12 years 24 days ago
The life and death of online groups: predicting group growth and longevity
We pose a fundamental question in understanding how to identify and design successful communities: What factors predict whether a community will grow and survive in the long term?...
Sanjay Ram Kairam, Dan J. Wang, Jure Leskovec