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» Mining Sequential Patterns across Time Sequences
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ICASSP
2011
IEEE
14 years 3 months ago
Time-constrained sequential pattern discovery for music genre classification
Music consists of both local and long-term temporal information. However, for a genre classification task, most of the text categorization based approaches only capture local temp...
Jia-Min Ren, Jyh-Shing Roger Jang
AUSDM
2006
Springer
94views Data Mining» more  AUSDM 2006»
15 years 3 months ago
Marking Time in Sequence Mining
Sequence mining is often conducted over static and temporal datasets as well as over collections of events (episodes). More recently, there has also been a focus on the mining of ...
Carl Mooney, John F. Roddick
IDA
2007
Springer
14 years 11 months ago
Removing biases in unsupervised learning of sequential patterns
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize th...
Yoav Horman, Gal A. Kaminka
ML
2006
ACM
148views Machine Learning» more  ML 2006»
14 years 11 months ago
Melodic analysis with segment classes
This paper presents a representation for melodic segment classes and applies it to music data mining. Melody is modeled as a sequence of segments, each segment being a sequenceofno...
Darrell Conklin
ISM
2005
IEEE
151views Multimedia» more  ISM 2005»
15 years 5 months ago
Video Data Mining: Mining Semantic Patterns with temporal constraints from Movies
— For efficient video data management, ‘video data mining’ is required to discover ‘semantic patterns’ which are not only previously unknown and interesting, but also as...
Kimiaki Shirahama, Koichi Ideno, Kuniaki Uehara