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» On exploiting the power of time in data mining
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EDBT
2000
ACM
13 years 11 months ago
Mining Classification Rules from Datasets with Large Number of Many-Valued Attributes
Decision tree induction algorithms scale well to large datasets for their univariate and divide-and-conquer approach. However, they may fail in discovering effective knowledge when...
Giovanni Giuffrida, Wesley W. Chu, Dominique M. Ha...
WSDM
2010
ACM
265views Data Mining» more  WSDM 2010»
14 years 5 months ago
Data-oriented Content Query System: Searching for Data into Text on the Web
As the Web provides rich data embedded in the immense contents inside pages, we witness many ad-hoc efforts for exploiting fine granularity information across Web text, such as We...
Kevin Chen-Chuan Chang, Mianwei Zhou, Tao Cheng
AINA
2008
IEEE
13 years 9 months ago
A Communication-Efficient Distributed Clustering Algorithm for Sensor Networks
Sensor networks usually generate continuous stream of data over time. Clustering sensor data as a core task of mining sensor data plays an essential role in analytical application...
Amirhosein Taherkordi, Reza Mohammadi, Frank Elias...
WSDM
2012
ACM
325views Data Mining» more  WSDM 2012»
12 years 3 months ago
Correlating financial time series with micro-blogging activity
We study the problem of correlating micro-blogging activity with stock-market events, defined as changes in the price and traded volume of stocks. Specifically, we collect messa...
Eduardo J. Ruiz, Vagelis Hristidis, Carlos Castill...
ICDE
2006
IEEE
133views Database» more  ICDE 2006»
14 years 1 months ago
A New Approach for Reactive Web Usage Data Processing
— Web usage mining exploits data mining techniques to discover valuable information from navigation behavior of World Wide Web (WWW) users. The required information is captured b...
Murat Ali Bayir, Ismail Hakki Toroslu, Ahmet Cosar