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» Experimental perspectives on learning from imbalanced data
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KDD
2009
ACM
178views Data Mining» more  KDD 2009»
15 years 10 months ago
Catching the drift: learning broad matches from clickthrough data
Identifying similar keywords, known as broad matches, is an important task in online advertising that has become a standard feature on all major keyword advertising platforms. Eff...
Sonal Gupta, Mikhail Bilenko, Matthew Richardson
SC
2009
ACM
15 years 4 months ago
Lessons learned from a year's worth of benchmarks of large data clouds
In this paper, we discuss some of the lessons that we have learned working with the Hadoop and Sector/Sphere systems. Both of these systems are cloud-based systems designed to sup...
Yunhong Gu, Robert L. Grossman
XPU
2004
Springer
15 years 3 months ago
Suitability of FIT User Acceptance Tests for Specifying Functional Requirements: Developer Perspective
Abstract. The paper outlines an experiment conducted in two different academic environments, in which FIT tests were used as a functional requirements specification. Common challen...
Grigori Melnik, Kris Read, Frank Maurer
ICDE
2007
IEEE
96views Database» more  ICDE 2007»
15 years 1 months ago
Mining Software Data
Data mining techniques and machine learning methods are commonly used in several disciplines. It is possible that they could also provide a basis for quality assessment of softwar...
Burak Turhan, F. Onur Kutlubay
SAC
2006
ACM
15 years 3 months ago
Discretization from data streams: applications to histograms and data mining
Abstract. In this paper we propose a new method to perform incremental discretization. The basic idea is to perform the task in two layers. The first layer receives the sequence o...
João Gama, Carlos Pinto