7150 search results - page 793 / 1430 » Graph-Based Data Mining |
195
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EDBT
2010
ACM
16 years 1 months ago
2010
ACM
More and more data mining algorithms are applied to a large number of long time series issued by many distributed sensors. The consequence of the huge volume of data is that data ...
173
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ICDM
2007
IEEE
16 years 1 months ago
2007
IEEE
Supervised learning is a classic data mining problem where one wishes to be be able to predict an output value associated with a particular input vector. We present a new twist on...
210
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ICDM
2007
IEEE
16 years 1 months ago
2007
IEEE
It is crucial to segment customers intelligently in order to offer more targeted and personalized products and services. Traditionally, customer segmentation is achieved using sta...
188
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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...
181
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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, ...