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SBACPAD
2003
IEEE
180views Hardware» more  SBACPAD 2003»
16 years 3 days 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...
SC
2003
ACM
16 years 3 days ago
A Million-Fold Speed Improvement in Genomic Repeats Detection
This paper presents a novel, parallel algorithm for generating top alignments. Top alignments are used for finding internal repeats in biological sequences like proteins and gene...
John W. Romein, Jaap Heringa, Henri E. Bal
SIGIR
2003
ACM
16 years 3 days ago
SETS: search enhanced by topic segmentation
We present SETS, an architecture for efficient search in peer-to-peer networks, building upon ideas drawn from machine learning and social network theory. The key idea is to arran...
Mayank Bawa, Gurmeet Singh Manku, Prabhakar Raghav...
SIGIR
2003
ACM
16 years 3 days ago
Collaborative filtering via gaussian probabilistic latent semantic analysis
Collaborative filtering aims at learning predictive models of user preferences, interests or behavior from community data, i.e. a database of available user preferences. In this ...
Thomas Hofmann
SIGMOD
2010
ACM
321views Database» more  SIGMOD 2010»
15 years 11 months ago
HadoopDB in action: building real world applications
HadoopDB is a hybrid of MapReduce and DBMS technologies, designed to meet the growing demand of analyzing massive datasets on very large clusters of machines. Our previous work ha...
Azza Abouzied, Kamil Bajda-Pawlikowski, Jiewen Hua...