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133
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KDD
2009
ACM
239views Data Mining» more  KDD 2009»
16 years 3 months ago
Tell me something I don't know: randomization strategies for iterative data mining
There is a wide variety of data mining methods available, and it is generally useful in exploratory data analysis to use many different methods for the same dataset. This, however...
Heikki Mannila, Kai Puolamäki, Markus Ojala, ...
142
Voted
KDD
2009
ACM
211views Data Mining» more  KDD 2009»
16 years 3 months ago
Address standardization with latent semantic association
Address standardization is a very challenging task in data cleansing. To provide better customer relationship management and business intelligence for customer-oriented cooperates...
Honglei Guo, Huijia Zhu, Zhili Guo, Xiaoxun Zhang,...
154
Voted
KDD
2009
ACM
611views Data Mining» more  KDD 2009»
16 years 3 months ago
Fast approximate spectral clustering
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-s...
Donghui Yan, Ling Huang, Michael I. Jordan
KDD
2009
ACM
364views Data Mining» more  KDD 2009»
16 years 3 months ago
Causality quantification and its applications: structuring and modeling of multivariate time series
Time series prediction is an important issue in a wide range of areas. There are various real world processes whose states vary continuously, and those processes may have influenc...
Takashi Shibuya, Tatsuya Harada, Yasuo Kuniyoshi
153
Voted
MOBISYS
2009
ACM
16 years 3 months ago
R2D2: regulating beam shape and rate as directionality meets diversity
We design, implement, and evaluate a vehicular communication system that improves uplink connectivity through multi-lobe beam pattern switching on a smart antenna. Directionality ...
Kishore Ramachandran, Ravi Kokku, Karthikeyan Sund...
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