7053 search results - page 747 / 1411 » Data Mining of Multi-categorized Data |
195
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AUSDM
2007
Springer
16 years 1 months ago
2007
Springer
Time series data poses a significant variation to the traditional segmentation techniques of data mining because the observation is derived from multiple instances of the same und...
187
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ICDM
2006
IEEE
16 years 1 months ago
2006
IEEE
The k-means algorithm is a popular clustering method used in many different fields of computer science, such as data mining, machine learning and information retrieval. However, ...
225
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ICDM
2006
IEEE
16 years 1 months ago
2006
IEEE
Several spatio-temporal data collected in many applications, such as fMRI data in medical applications, can be represented as a Multivariate Time Series (MTS) matrix with m rows (...
225
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KDD
2005
ACM
16 years 1 months ago
2005
ACM
Outlier detection has recently become an important problem in many industrial and financial applications. In this paper, a novel feature bagging approach for detecting outliers in...
169
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KDD
2005
ACM
16 years 1 months ago
2005
ACM
Clustering is an essential data mining task with numerous applications. However, data in most real-life applications are high-dimensional in nature, and the related information of...