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JCST
2008
124views more  JCST 2008»
15 years 4 months ago
Clustering by Pattern Similarity
The task of clustering is to identify classes of similar objects among a set of objects. The definition of similarity varies from one clustering model to another. However, in most ...
Haixun Wang, Jian Pei
NN
2008
Springer
150views Neural Networks» more  NN 2008»
15 years 4 months ago
Neural network based pattern matching and spike detection tools and services - in the CARMEN neuroinformatics project
In the study of information flow in the nervous system, component processes can be investigated using a range of electrophysiological and imaging techniques. Although data is diff...
Martyn Fletcher, Bojian Liang, Leslie Smith, Alast...
PR
2008
141views more  PR 2008»
15 years 4 months ago
Robust and efficient multiclass SVM models for phrase pattern recognition
Phrase pattern recognition (phrase chunking) refers to automatic approaches for identifying predefined phrase structures in a stream of text. Support vector machines (SVMs)-based ...
Yu-Chieh Wu, Yue-Shi Lee, Jie-Chi Yang
JSS
2011
126views more  JSS 2011»
14 years 7 months ago
A novel statistical time-series pattern based interval forecasting strategy for activity durations in workflow systems
Forecasting workflow activity durations is of great importance to support satisfactory QoS in workflow systems. Traditionally, a workflow system is often designed to facilitate the...
Xiao Liu, Zhiwei Ni, Dong Yuan, Yuan-Chun Jiang, Z...
SIGMOD
2002
ACM
132views Database» more  SIGMOD 2002»
16 years 4 months ago
Clustering by pattern similarity in large data sets
Clustering is the process of grouping a set of objects into classes of similar objects. Although definitions of similarity vary from one clustering model to another, in most of th...
Haixun Wang, Wei Wang 0010, Jiong Yang, Philip S. ...