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IJRR
2011
226views more  IJRR 2011»
14 years 6 months ago
Place-dependent people tracking
Abstract People typically move and act under the constraints of an environment, making human behavior strongly place-dependent. Motion patterns, the places and the rates at which p...
Matthias Luber, Gian Diego Tipaldi, Kai Oliver Arr...
SBACPAD
2003
IEEE
180views Hardware» more  SBACPAD 2003»
15 years 5 months ago
New Parallel Algorithms for Frequent Itemset Mining in Very Large Databases
Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...
Adriano Veloso, Wagner Meira Jr., Srinivasan Parth...
ICSE
2003
IEEE-ACM
15 years 5 months ago
An Analysis of the Fault Correction Process in a Large-Scale SDL Production Model
Improvements in the software development process depend on our ability to collect and analyze data drawn from various phases of the development life cycle. Our design metrics rese...
Dolores M. Zage, Wayne M. Zage
GFKL
2006
Springer
78views Data Mining» more  GFKL 2006»
15 years 3 months ago
Putting Successor Variety Stemming to Work
Stemming algorithms find canonical forms for inflected words, e. g. for declined nouns or conjugated verbs. Since such a unification of words with respect to gender, number, time, ...
Benno Stein, Martin Potthast
KDD
2003
ACM
191views Data Mining» more  KDD 2003»
16 years 6 days ago
Assessment and pruning of hierarchical model based clustering
The goal of clustering is to identify distinct groups in a dataset. The basic idea of model-based clustering is to approximate the data density by a mixture model, typically a mix...
Jeremy Tantrum, Alejandro Murua, Werner Stuetzle