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PKDD
2004
Springer
131views Data Mining» more  PKDD 2004»
14 years 1 months ago
Asynchronous and Anticipatory Filter-Stream Based Parallel Algorithm for Frequent Itemset Mining
Abstract In this paper we propose a novel parallel algorithm for frequent itemset mining. The algorithm is based on the filter-stream programming model, in which the frequent item...
Adriano Veloso, Wagner Meira Jr., Renato Ferreira,...
ICDM
2002
IEEE
148views Data Mining» more  ICDM 2002»
14 years 1 months ago
SLPMiner: An Algorithm for Finding Frequent Sequential Patterns Using Length-Decreasing Support Constraint
Over the years, a variety of algorithms for finding frequent sequential patterns in very large sequential databases have been developed. The key feature in most of these algorith...
Masakazu Seno, George Karypis
INFOSCALE
2007
ACM
13 years 9 months ago
A distributed incremental nearest neighbor algorithm
Searching for non-text data (e.g., images) is mostly done by means of metadata annotations or by extracting the text close to the data. However, supporting real content-based audi...
Fabrizio Falchi, Claudio Gennaro, Fausto Rabitti, ...
SIGMOD
2001
ACM
193views Database» more  SIGMOD 2001»
14 years 8 months ago
Epsilon Grid Order: An Algorithm for the Similarity Join on Massive High-Dimensional Data
The similarity join is an important database primitive which has been successfully applied to speed up applications such as similarity search, data analysis and data mining. The s...
Christian Böhm, Bernhard Braunmüller, Fl...
COLING
2008
13 years 9 months ago
A Supervised Algorithm for Verb Disambiguation into VerbNet Classes
VerbNet (VN) is a major large-scale English verb lexicon. Mapping verb instances to their VN classes has been proven useful for several NLP tasks. However, verbs are polysemous wi...
Omri Abend, Roi Reichart, Ari Rappoport