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KDD
2007
ACM
149views Data Mining» more  KDD 2007»
14 years 10 months ago
Partial example acquisition in cost-sensitive learning
It is often expensive to acquire data in real-world data mining applications. Most previous data mining and machine learning research, however, assumes that a fixed set of trainin...
Victor S. Sheng, Charles X. Ling
KDD
2000
ACM
149views Data Mining» more  KDD 2000»
14 years 1 months ago
Efficient clustering of high-dimensional data sets with application to reference matching
Many important problems involve clustering large datasets. Although naive implementations of clustering are computationally expensive, there are established efficient techniques f...
Andrew McCallum, Kamal Nigam, Lyle H. Ungar
PDCN
2004
13 years 11 months ago
Grid knowledge discovery processes and an architecture for their composition
The Grid is the computing and data management infrastructure, which is transforming science, business, health and society. This paper deals with a challenging task addressing know...
Guenter Kickinger, Jürgen Hofer, Peter Brezan...
KDD
2010
ACM
228views Data Mining» more  KDD 2010»
14 years 1 months ago
The new iris data: modular data generators
In this paper we introduce a modular, highly flexible, opensource environment for data generation. Using an existing graphical data flow tool, the user can combine various types...
Iris Adä, Michael R. Berthold
KDD
2003
ACM
205views Data Mining» more  KDD 2003»
14 years 10 months 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