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KDD
2004
ACM
211views Data Mining» more  KDD 2004»
16 years 1 months ago
Towards parameter-free data mining
Most data mining algorithms require the setting of many input parameters. Two main dangers of working with parameter-laden algorithms are the following. First, incorrect settings ...
Eamonn J. Keogh, Stefano Lonardi, Chotirat (Ann) R...
POPL
2005
ACM
16 years 1 months ago
Mutatis mutandis: safe and predictable dynamic software updating
Dynamic software updates can be used to fix bugs or add features to a running program without downtime. Essential for some applications and convenient for others, low-level dynami...
Gareth Stoyle, Michael W. Hicks, Gavin M. Bierman,...
RECOMB
2002
Springer
16 years 1 months ago
String barcoding: uncovering optimal virus signatures
There are many critical situations when one needs to rapidly identify an unidentified pathogen from among a given set of previously sequenced pathogens. DNA or RNA hybridization c...
Sam Rash, Dan Gusfield
SIGMOD
2006
ACM
219views Database» more  SIGMOD 2006»
16 years 1 months ago
Modeling skew in data streams
Data stream applications have made use of statistical summaries to reason about the data using nonparametric tools such as histograms, heavy hitters, and join sizes. However, rela...
Flip Korn, S. Muthukrishnan, Yihua Wu
SIGMOD
2004
ACM
165views Database» more  SIGMOD 2004»
16 years 1 months ago
Industrial-Strength Schema Matching
Schema matching identifies elements of two given schemas that correspond to each other. Although there are many algorithms for schema matching, little has been written about build...
Philip A. Bernstein, Sergey Melnik, Michalis Petro...