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SIGMOD
2010
ACM
211views Database» more  SIGMOD 2010»
14 years 9 days ago
ERACER: a database approach for statistical inference and data cleaning
Real-world databases often contain syntactic and semantic errors, in spite of integrity constraints and other safety measures incorporated into modern DBMSs. We present ERACER, an...
Chris Mayfield, Jennifer Neville, Sunil Prabhakar
IBPRIA
2009
Springer
14 years 2 days ago
Large Scale Online Learning of Image Similarity through Ranking
ent abstract presents OASIS, an Online Algorithm for Scalable Image Similarity learning that learns a bilinear similarity measure over sparse representations. OASIS is an online du...
Gal Chechik, Varun Sharma, Uri Shalit, Samy Bengio
RAID
1999
Springer
13 years 11 months ago
Combining Knowledge Discovery and Knowledge Engineering to Build IDSs
We have been developing a data mining (i.e., knowledge discovery) framework, MADAM ID, for Mining Audit Data for Automated Models for Intrusion Detection [LSM98, LSM99b, LSM99a]. ...
Wenke Lee, Salvatore J. Stolfo
ICS
2000
Tsinghua U.
13 years 11 months ago
Compiling object-oriented data intensive applications
Processing and analyzing large volumes of data plays an increasingly important role in many domains of scienti c research. High-level language and compiler support for developing ...
Renato Ferreira, Gagan Agrawal, Joel H. Saltz
AAAI
2008
13 years 9 months ago
Ensemble Forecasting for Disease Outbreak Detection
We describe a method to improve detection of disease outbreaks in pre-diagnostic time series data. The method uses multiple forecasters and learns the linear combination to minimi...
Thomas H. Lotze, Galit Shmueli