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ESWA
2008
101views more  ESWA 2008»
14 years 9 months ago
Discovering during-temporal patterns (DTPs) in large temporal databases
Abstract Large temporal Databases (TDBs) usually contain a wealth of data about temporal events. Aimed at discovering temporal patterns with during relationship (during-temporal pa...
Li Zhang, Guoqing Chen, Tom Brijs, Xing Zhang
SAS
2007
Springer
103views Formal Methods» more  SAS 2007»
15 years 3 months ago
Footprint Analysis: A Shape Analysis That Discovers Preconditions
Existing shape analysis algorithms infer descriptions of data structures at program points, starting from a given precondition. We describe an analysis that does not require any pr...
Cristiano Calcagno, Dino Distefano, Peter W. O'Hea...
79
Voted
FLAIRS
2000
14 years 11 months ago
Discovering Structural Patterns in Telecommunications Data
With the increasing amount and complexity of data being collected, there is an urgent need to create automated techniques for mining the data. In particular, data being generated ...
Andi Baritchi, Diane J. Cook, Lawrence B. Holder
JDWM
2006
84views more  JDWM 2006»
14 years 9 months ago
Discovering Surprising Instances of Simpson's Paradox in Hierarchical Multidimensional Data
This paper focuses on the discovery of surprising, unexpected patterns, based on a data mining method that consists of detecting instances of Simpson's paradox. By its very n...
Carem C. Fabris, Alex Alves Freitas
CHI
2005
ACM
15 years 10 months ago
An experiment in discovering personally meaningful places from location data
As mobile devices become location-aware, they offer the promise of powerful new applications. While computers work with physical locations like latitude and longitude, people thin...
Changqing Zhou, Pamela J. Ludford, Dan Frankowski,...