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KDD
2009
ACM
167views Data Mining» more  KDD 2009»
16 years 11 days 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
137views Data Mining» more  KDD 2008»
16 years 7 days ago
Learning classifiers from only positive and unlabeled data
The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...
Charles Elkan, Keith Noto
KDD
2007
ACM
182views Data Mining» more  KDD 2007»
16 years 7 days ago
A fast algorithm for finding frequent episodes in event streams
Frequent episode discovery is a popular framework for mining data available as a long sequence of events. An episode is essentially a short ordered sequence of event types and the...
Srivatsan Laxman, P. S. Sastry, K. P. Unnikrishnan
KDD
2003
ACM
205views Data Mining» more  KDD 2003»
16 years 7 days ago
The data mining approach to automated software testing
In today's industry, the design of software tests is mostly based on the testers' expertise, while test automation tools are limited to execution of pre-planned tests on...
Mark Last, Menahem Friedman, Abraham Kandel
STOC
2004
ACM
94views Algorithms» more  STOC 2004»
16 years 3 days ago
Sublinear algorithms for testing monotone and unimodal distributions
The complexity of testing properties of monotone and unimodal distributions, when given access only to samples of the distribution, is investigated. Two kinds of sublineartime alg...
Tugkan Batu, Ravi Kumar, Ronitt Rubinfeld