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KDD
2001
ACM
253views Data Mining» more  KDD 2001»
16 years 4 months ago
GESS: a scalable similarity-join algorithm for mining large data sets in high dimensional spaces
The similarity join is an important operation for mining high-dimensional feature spaces. Given two data sets, the similarity join computes all tuples (x, y) that are within a dis...
Jens-Peter Dittrich, Bernhard Seeger
CHI
2004
ACM
16 years 4 months ago
Trading design spaces: exchanging ideas on physical design environments
Physical design environments are places that support people engaged in the spatial, physical, tangible act of creation. It is now possible to augment workspaces with an amazing ar...
Wendy Ju, Margot Brereton, Michael Haller, Amanda ...
POPL
2008
ACM
16 years 4 months ago
From dirt to shovels: fully automatic tool generation from ad hoc data
An ad hoc data source is any semistructured data source for which useful data analysis and transformation tools are not readily available. Such data must be queried, transformed a...
Kathleen Fisher, David Walker, Kenny Qili Zhu, Pet...
POPL
2003
ACM
16 years 4 months ago
From symptom to cause: localizing errors in counterexample traces
There is significant room for improving users' experiences with model checking tools. An error trace produced by a model checker can be lengthy and is indicative of a symptom...
Thomas Ball, Mayur Naik, Sriram K. Rajamani
ICSE
2004
IEEE-ACM
16 years 4 months ago
Concerning Predictability in Dependable Component-Based Systems: Classification of Quality Attributes
One of the main objectives of developing component-based software systems is to enable efficient building of systems through the integration of components. All component models def...
Ivica Crnkovic, Magnus Larsson, Otto Preiss