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» Multi-Dimensional Relational Sequence Mining
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CORR
2007
Springer
170views Education» more  CORR 2007»
14 years 11 months ago
The structure of verbal sequences analyzed with unsupervised learning techniques
Data mining allows the exploration of sequences of phenomena, whereas one usually tends to focus on isolated phenomena or on the relation between two phenomena. It offers invaluab...
Catherine Recanati, Nicoleta Rogovschi, Youn&egrav...
KDD
2005
ACM
106views Data Mining» more  KDD 2005»
16 years 5 days ago
Simultaneous optimization of complex mining tasks with a knowledgeable cache
With an increasing use of data mining tools and techniques, we envision that a Knowledge Discovery and Data Mining System (KDDMS) will have to support and optimize for the followi...
Ruoming Jin, Kaushik Sinha, Gagan Agrawal
SDM
2003
SIAM
156views Data Mining» more  SDM 2003»
15 years 1 months ago
Detection of Underrepresented Biological Sequences using Class-Conditional Distribution Models
A labeled sequence data set related to a certain biological property is often biased and, therefore, does not completely capture its diversity in nature. To reduce this sampling b...
Slobodan Vucetic, Dragoljub Pokrajac, Hongbo Xie, ...
KDD
2000
ACM
222views Data Mining» more  KDD 2000»
15 years 3 months ago
Interactive exploration of very large relational datasets through 3D dynamic projections
The grand tour, one of the most popular methods for multidimensional data exploration, is based on orthogonally projecting multidimensional data to a sequence of lower dimensional...
Li Yang
102
Voted
SIGSOFT
2009
ACM
15 years 6 months ago
MSeqGen: object-oriented unit-test generation via mining source code
An objective of unit testing is to achieve high structural coverage of the code under test. Achieving high structural coverage of object-oriented code requires desirable method-ca...
Suresh Thummalapenta, Tao Xie, Nikolai Tillmann, J...