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PAKDD
2000
ACM
128views Data Mining» more  PAKDD 2000»
15 years 10 months ago
Efficient Detection of Local Interactions in the Cascade Model
Detection of interactions among data items constitutes an essential part of knowledge discovery. The cascade model is a rule induction methodology using levelwise expansion of a la...
Takashi Okada
LREC
2008
122views Education» more  LREC 2008»
15 years 8 months ago
A Taxonomy of Lexical Metadata Categories
Metadata registries comprising sets of categories to be used in data collections exist in many fields. The purpose of a metadata registry is to facilitate data exchange and intero...
Bodil Nistrup Madsen, Hanne Erdman Thomsen
NIPS
2004
15 years 8 months ago
Co-Training and Expansion: Towards Bridging Theory and Practice
Co-training is a method for combining labeled and unlabeled data when examples can be thought of as containing two distinct sets of features. It has had a number of practical succ...
Maria-Florina Balcan, Avrim Blum, Ke Yang
ICMLA
2003
15 years 8 months ago
Fast Class-Attribute Interdependence Maximization (CAIM) Discretization Algorithm
– Discretization is a process of converting a continuous attribute into an attribute that contains small number of distinct values. One of the major reasons for discretizing an a...
Lukasz A. Kurgan, Krzysztof J. Cios
TKDE
2008
126views more  TKDE 2008»
15 years 6 months ago
The Discrete Basis Problem
Matrix decomposition methods represent a data matrix as a product of two smaller matrices: one containing basis vectors that represent meaningful concepts in the data, and another ...
Pauli Miettinen, Taneli Mielikäinen, Aristide...