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SIGMOD
1999
ACM
183views Database» more  SIGMOD 1999»
14 years 7 days ago
OPTICS: Ordering Points To Identify the Clustering Structure
Cluster analysis is a primary method for database mining. It is either used as a stand-alone tool to get insight into the distribution of a data set, e.g. to focus further analysi...
Mihael Ankerst, Markus M. Breunig, Hans-Peter Krie...
KDD
1998
ACM
190views Data Mining» more  KDD 1998»
14 years 4 days ago
Time Series Forecasting from High-Dimensional Data with Multiple Adaptive Layers
This paper describes our work in learning online models that forecast real-valued variables in a high-dimensional space. A 3GB database was collected by sampling 421 real-valued s...
R. Bharat Rao, Scott Rickard, Frans Coetzee
KDD
2010
ACM
215views Data Mining» more  KDD 2010»
13 years 11 months ago
On the quality of inferring interests from social neighbors
This paper intends to provide some insights of a scientific problem: how likely one’s interests can be inferred from his/her social connections – friends, friends’ friends,...
Zhen Wen, Ching-Yung Lin
KDD
2010
ACM
293views Data Mining» more  KDD 2010»
13 years 11 months ago
BioSnowball: automated population of Wikis
Internet users regularly have the need to find biographies and facts of people of interest. Wikipedia has become the first stop for celebrity biographies and facts. However, Wik...
Xiaojiang Liu, Zaiqing Nie, Nenghai Yu, Ji-Rong We...
KDD
2000
ACM
133views Data Mining» more  KDD 2000»
13 years 11 months ago
Data selection for support vector machine classifiers
The problem of extracting a minimal number of data points from a large dataset, in order to generate a support vector machine (SVM) classifier, is formulated as a concave minimiza...
Glenn Fung, Olvi L. Mangasarian