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» Data Clustering: A Review
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HIS
2004
15 years 8 months ago
Adaptive Boosting with Leader based Learners for Classification of Large Handwritten Data
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agr...
ICCS
2007
Springer
16 years 27 days ago
Inaccuracies of Shape Averaging Method Using Dynamic Time Warping for Time Series Data
Shape averaging or signal averaging of time series data is one of the prevalent subroutines in data mining tasks, where Dynamic Time Warping distance measure (DTW) is known to work...
Vit Niennattrakul, Chotirat Ann Ratanamahatana
ICDE
2004
IEEE
133views Database» more  ICDE 2004»
16 years 8 months ago
GenExplore: Interactive Exploration of Gene Interactions from Microarray Data
DNA Microarray provides a powerful basis for analysis of gene expression. Data mining methods such as clustering have been widely applied to microarray data to link genes that sho...
Yong Ye, Xintao Wu, Kalpathi R. Subramanian, Liyin...
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WWW
2006
ACM
16 years 7 months ago
Mining clickthrough data for collaborative web search
This paper is to investigate the group behavior patterns of search activities based on Web search history data, i.e., clickthrough data, to boost search performance. We propose a ...
Jian-Tao Sun, Xuanhui Wang, Dou Shen, Hua-Jun Zeng...
IV
2009
IEEE
131views Visualization» more  IV 2009»
16 years 1 months ago
A Visualization and Level-of-Detail Control Technique for Large Scale Time Series Data
We have various interesting time series data in our daily life, such as weather data (e.g., temperature and air pressure) and stock prices. Polyline chart is one of the most commo...
Yumiko Uchida, Takayuki Itoh