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» Incremental Detection of Inconsistencies in Distributed Data
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IJCAI
2007
14 years 11 months ago
Detect and Track Latent Factors with Online Nonnegative Matrix Factorization
Detecting and tracking latent factors from temporal data is an important task. Most existing algorithms for latent topic detection such as Nonnegative Matrix Factorization (NMF) h...
Bin Cao, Dou Shen, Jian-Tao Sun, Xuanhui Wang, Qia...
70
Voted
WDAG
2004
Springer
113views Algorithms» more  WDAG 2004»
15 years 2 months ago
Bounded Version Vectors
Abstract. Version vectors play a central role in update tracking under optimistic distributed systems, allowing the detection of obsolete or inconsistent versions of replicated dat...
José Bacelar Almeida, Paulo Sérgio A...
SIGKDD
2008
113views more  SIGKDD 2008»
14 years 9 months ago
On exploiting the power of time in data mining
We introduce the new paradigm of Change Mining as data mining over a volatile, evolving world with the objective of understanding change. While there is much work on incremental m...
Mirko Böttcher, Frank Höppner, Myra Spil...
CORR
2010
Springer
193views Education» more  CORR 2010»
14 years 8 months ago
A Probabilistic Approach for Learning Folksonomies from Structured Data
Learning structured representations has emerged as an important problem in many domains, including document and Web data mining, bioinformatics, and image analysis. One approach t...
Anon Plangprasopchok, Kristina Lerman, Lise Getoor
IPPS
2007
IEEE
15 years 3 months ago
Programming Distributed Memory Sytems Using OpenMP
OpenMP has emerged as an important model and language extension for shared-memory parallel programming. On shared-memory platforms, OpenMP offers an intuitive, incremental approac...
Ayon Basumallik, Seung-Jai Min, Rudolf Eigenmann