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» Benchmarking Data Mining Algorithms
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KDD
2008
ACM
234views Data Mining» more  KDD 2008»
16 years 3 months ago
Angle-based outlier detection in high-dimensional data
Detecting outliers in a large set of data objects is a major data mining task aiming at finding different mechanisms responsible for different groups of objects in a data set. All...
Hans-Peter Kriegel, Matthias Schubert, Arthur Zime...
128
Voted
KDD
2005
ACM
171views Data Mining» more  KDD 2005»
16 years 3 months ago
Deriving marketing intelligence from online discussion
Weblogs and message boards provide online forums for discussion that record the voice of the public. Woven into this mass of discussion is a wide range of opinion and commentary a...
Natalie S. Glance, Matthew Hurst, Kamal Nigam, Mat...
EDBTW
2010
Springer
15 years 1 months ago
A decision support system to improve e-learning environments
Nowadays, due to the lack of face-to-face contact, distance course instructors have real difficulties knowing who their students are, how their students behave in the virtual cour...
Marta E. Zorrilla, Diego García, Elena &Aac...
DASFAA
2008
IEEE
149views Database» more  DASFAA 2008»
15 years 4 months ago
A Test Paradigm for Detecting Changes in Transactional Data Streams
A pattern is considered useful if it can be used to help a person to achieve his goal. Mining data streams for useful patterns is important in many applications. However, data stre...
Willie Ng, Manoranjan Dash
116
Voted
ICDM
2007
IEEE
143views Data Mining» more  ICDM 2007»
15 years 9 months ago
Bit Sequences and Biclustering of Text Documents
We propose a new technique for clustering of text documents that relies on a biclustering structure constructed on terms and documents. Our approach makes use of a greedy algorith...
Selim Mimaroglu, Kuniaki Uehara