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» A Perspective on Inductive Databases
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ICDE
2012
IEEE
208views Database» more  ICDE 2012»
11 years 11 months ago
Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the Data
—Traditional clustering algorithms identify just a single clustering of the data. Today’s complex data, however, allow multiple interpretations leading to several valid groupin...
Emmanuel Müller, Stephan Günnemann, Ines...
EDBT
2012
ACM
254views Database» more  EDBT 2012»
11 years 11 months ago
Inside "Big Data management": ogres, onions, or parfaits?
In this paper we review the history of systems for managing “Big Data” as well as today’s activities and architectures from the (perhaps biased) perspective of three “data...
Vinayak R. Borkar, Michael J. Carey, Chen Li
ICPR
2006
IEEE
14 years 10 months ago
Dimensionality Reduction with Adaptive Kernels
1 A kernel determines the inductive bias of a learning algorithm on a specific data set, and it is beneficial to design specific kernel for a given data set. In this work, we propo...
Shuicheng Yan, Xiaoou Tang
GIS
2008
ACM
14 years 9 months ago
Pedestrian flow prediction in extensive road networks using biased observational data
In this paper, we discuss an application of spatial data mining to predict pedestrian flow in extensive road networks using a large biased sample. Existing out-of-the-box techniqu...
Michael May, Simon Scheider, Roberto Rösler, ...
PAKDD
2004
ACM
127views Data Mining» more  PAKDD 2004»
14 years 2 months ago
Separating Structure from Interestingness
Condensed representations of pattern collections have been recognized to be important building blocks of inductive databases, a promising theoretical framework for data mining, and...
Taneli Mielikäinen