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ICASSP
2011
IEEE
10 years 2 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
JDCTA
2010
225views more  JDCTA 2010»
10 years 5 months ago
Multi-Level Weighted Sequential Pattern Mining Based on Prime Encoding
Encoding can express the hierarchical relationship in the area of mining the multi-level sequential pattern, up to now all the algorithms of which find frequent sequences just acc...
Yun Li, Lianglei Sun, Jiang Yin, Wenyan Bao, Mengy...
TKDE
2011
183views more  TKDE 2011»
10 years 5 months ago
Mining Discriminative Patterns for Classifying Trajectories on Road Networks
—Classification has been used for modeling many kinds of data sets, including sets of items, text documents, graphs, and networks. However, there is a lack of study on a new kind...
Jae-Gil Lee, Jiawei Han, Xiaolei Li, Hong Cheng
TKDE
2002
151views more  TKDE 2002»
10 years 10 months ago
Mining Sequential Patterns with Regular Expression Constraints
Minos N. Garofalakis, Rajeev Rastogi, Kyuseok Shim
CORR
2002
Springer
92views Education» more  CORR 2002»
10 years 10 months ago
When to Update the sequential patterns of stream data?
In this paper, we first define a difference measure between the old and new sequential patterns of stream data, which is proved to be a distance. Then we propose an experimental me...
Qingguo Zheng, Ke Xu, Shilong Ma
JSS
2007
88views more  JSS 2007»
10 years 10 months ago
SQUIRE: Sequential pattern mining with quantities
Discovering sequential patterns is an important problem for many applications. Existing algorithms find qualitative sequential patterns in the sense that only items are included ...
Chulyun Kim, Jong-Hwa Lim, Raymond T. Ng, Kyuseok ...
TKDE
2008
156views more  TKDE 2008»
10 years 10 months ago
A Framework for Mining Sequential Patterns from Spatio-Temporal Event Data Sets
Given a large spatio-temporal database of events, where each event consists of the fields event ID, time, location, and event type, mining spatio-temporal sequential patterns ident...
Yan Huang, Liqin Zhang, Pusheng Zhang
JIIS
2006
147views more  JIIS 2006»
10 years 10 months ago
Mining sequential patterns from data streams: a centroid approach
In recent years, emerging applications introduced new constraints for data mining methods. These constraints are typical of a new kind of data: the data streams. In data stream pro...
Alice Marascu, Florent Masseglia
JCP
2008
104views more  JCP 2008»
10 years 10 months ago
Discovery of Sequential Patterns Coinciding with Analysts' Interests
This paper proposes a new sequential pattern mining method. The method introduces a new evaluation criterion satisfying the Apriori property. The criterion is calculated by the fre...
Shigeaki Sakurai, Youichi Kitahara, Ryohei Orihara...
IDA
2006
Springer
10 years 10 months ago
Sequential patterns for text categorization
Text categorization is a well-known task based essentially on statistical approaches using neural networks, Support Vector Machines and other machine learning algorithms. Texts are...
Simon Jaillet, Anne Laurent, Maguelonne Teisseire
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