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» A genetic approach for random testing of database systems
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PR
1998
86views more  PR 1998»
13 years 7 months ago
Optimizing the cost matrix for approximate string matching using genetic algorithms
This paper describes a method for optimizing the cost matrix of any approximate string matching algorithm based on the Levenshtein distance. The method, which uses genetic algorit...
Marc Parizeau, Nadia Ghazzali, Jean-Françoi...
ICDM
2009
IEEE
112views Data Mining» more  ICDM 2009»
14 years 2 months ago
Resolving Identity Uncertainty with Learned Random Walks
A pervasive problem in large relational databases is identity uncertainty which occurs when multiple entries in a database refer to the same underlying entity in the world. Relati...
Ted Sandler, Lyle H. Ungar, Koby Crammer
FSKD
2007
Springer
102views Fuzzy Logic» more  FSKD 2007»
13 years 9 months ago
Statistical and Fuzzy Approach for Database Security
A new type of database anomaly is described by addressing the concept of Cumulated Anomaly in this paper. Dubiety-Determining Model (DDM), which is a detection model basing on sta...
Gang Lu, Junkai Yi, Kevin Lü
SIGMOD
2006
ACM
89views Database» more  SIGMOD 2006»
14 years 7 months ago
Testing database applications
Testing of database applications is crucial for ensuring high software quality as undetected faults can result in unrecoverable data corruption. The problem of database applicatio...
Carsten Binnig, Donald Kossmann, Eric Lo
KBSE
2010
IEEE
13 years 6 months ago
MODA: automated test generation for database applications via mock objects
Software testing has been commonly used in assuring the quality of database applications. It is often prohibitively expensive to manually write quality tests for complex database ...
Kunal Taneja, Yi Zhang, Tao Xie