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» Pitfalls in Aspect Mining
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WCRE
2008
IEEE
13 years 12 months ago
Pitfalls in Aspect Mining
The research domain of aspect mining studies the problem of (semi-)automatically identifying potential aspects and crosscutting concerns in a software system, to improve the syste...
Kim Mens, Andy Kellens, Jens Krinke
KDD
2009
ACM
167views Data Mining» more  KDD 2009»
14 years 6 months ago
Seven pitfalls to avoid when running controlled experiments on the web
Controlled experiments, also called randomized experiments and A/B tests, have had a profound influence on multiple fields, including medicine, agriculture, manufacturing, and adv...
Thomas Crook, Brian Frasca, Ron Kohavi, Roger Long...
KDD
2008
ACM
162views Data Mining» more  KDD 2008»
14 years 5 months ago
Composition attacks and auxiliary information in data privacy
Privacy is an increasingly important aspect of data publishing. Reasoning about privacy, however, is fraught with pitfalls. One of the most significant is the auxiliary informatio...
Srivatsava Ranjit Ganta, Shiva Prasad Kasiviswanat...
SDM
2008
SIAM
95views Data Mining» more  SDM 2008»
13 years 6 months ago
Deterministic Latent Variable Models and Their Pitfalls
We derive a number of well known deterministic latent variable models such as PCA, ICA, EPCA, NMF and PLSA as variational EM approximations with point posteriors. We show that the...
Max Welling, Chaitanya Chemudugunta, Nathan Sutter
CORR
2010
Springer
104views Education» more  CORR 2010»
13 years 13 days ago
Machine Science in Biomedicine: Practicalities, Pitfalls and Potential
Machine Science, or Data-driven Research, is a new and interesting scientific methodology that uses advanced computational techniques to identify, retrieve, classify and analyse da...
Thomas W. Kelsey, W. Hamish B. Wallace