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ASPLOS
2011
ACM
13 years 1 months ago
ConSeq: detecting concurrency bugs through sequential errors
Concurrency bugs are caused by non-deterministic interleavings between shared memory accesses. Their effects propagate through data and control dependences until they cause softwa...
Wei Zhang, Junghee Lim, Ramya Olichandran, Joel Sc...
KDD
2009
ACM
611views Data Mining» more  KDD 2009»
14 years 10 months ago
Fast approximate spectral clustering
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-s...
Donghui Yan, Ling Huang, Michael I. Jordan
KDD
2005
ACM
161views Data Mining» more  KDD 2005»
14 years 10 months ago
Combining email models for false positive reduction
Machine learning and data mining can be effectively used to model, classify and discover interesting information for a wide variety of data including email. The Email Mining Toolk...
Shlomo Hershkop, Salvatore J. Stolfo
SIGMOD
2007
ACM
192views Database» more  SIGMOD 2007»
14 years 10 months ago
Benchmarking declarative approximate selection predicates
Declarative data quality has been an active research topic. The fundamental principle behind a declarative approach to data quality is the use of declarative statements to realize...
Amit Chandel, Oktie Hassanzadeh, Nick Koudas, Moha...
SIGIR
2010
ACM
14 years 2 months ago
Estimation of statistical translation models based on mutual information for ad hoc information retrieval
As a principled approach to capturing semantic relations of words in information retrieval, statistical translation models have been shown to outperform simple document language m...
Maryam Karimzadehgan, ChengXiang Zhai