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» Sequence Mining in Categorical Domains: Algorithms and Appli...
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KDD
2008
ACM
110views Data Mining» more  KDD 2008»
14 years 8 months ago
Mining preferences from superior and inferior examples
Mining user preferences plays a critical role in many important applications such as customer relationship management (CRM), product and service recommendation, and marketing camp...
Bin Jiang, Jian Pei, Xuemin Lin, David W. Cheung, ...
SDM
2008
SIAM
112views Data Mining» more  SDM 2008»
13 years 9 months ago
A pattern mining approach toward discovering generalized sequence signatures
Typically, sequence signatures, such as motifs and domains, are assumed to be localized in one region of a sequence or are derived as combinations of the former. We generalize the...
Dietmar H. Dorr, Anne Denton
NRHM
2000
95views more  NRHM 2000»
13 years 7 months ago
Hybrid narrative and categorical strategies for interactive and dynamic video presentation generation
There are a number of different approaches for automatically selecting video clips from a video database and sequencing them into meaningful presentations for viewers. The video d...
Craig A. Lindley, Frank Nack
KDD
2004
ACM
150views Data Mining» more  KDD 2004»
14 years 8 months ago
A framework for ontology-driven subspace clustering
Traditional clustering is a descriptive task that seeks to identify homogeneous groups of objects based on the values of their attributes. While domain knowledge is always the bes...
Jinze Liu, Wei Wang 0010, Jiong Yang
IDA
2009
Springer
13 years 5 months ago
Context-Based Distance Learning for Categorical Data Clustering
Abstract. Clustering data described by categorical attributes is a challenging task in data mining applications. Unlike numerical attributes, it is difficult to define a distance b...
Dino Ienco, Ruggero G. Pensa, Rosa Meo