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EPIA
2003
Springer
14 years 1 months ago
Mining Low Dimensionality Data Streams of Continuous Attributes
This paper presents an incremental and scalable learning algorithm in order to mine numeric, low dimensionality, high–cardinality, time–changing data streams. Within the Superv...
Francisco J. Ferrer-Troyano, Jesús S. Aguil...
SIGMOD
2012
ACM
223views Database» more  SIGMOD 2012»
11 years 10 months ago
MaskIt: privately releasing user context streams for personalized mobile applications
The rise of smartphones equipped with various sensors has enabled personalization of various applications based on user contexts extracted from sensor readings. At the same time i...
Michaela Götz, Suman Nath, Johannes Gehrke
VLSISP
2011
358views Database» more  VLSISP 2011»
13 years 2 months ago
Accelerating Machine-Learning Algorithms on FPGAs using Pattern-Based Decomposition
Machine-learning algorithms are employed in a wide variety of applications to extract useful information from data sets, and many are known to suffer from superlinear increases in ...
Karthik Nagarajan, Brian Holland, Alan D. George, ...
KDD
2008
ACM
259views Data Mining» more  KDD 2008»
14 years 8 months ago
Using ghost edges for classification in sparsely labeled networks
We address the problem of classification in partially labeled networks (a.k.a. within-network classification) where observed class labels are sparse. Techniques for statistical re...
Brian Gallagher, Hanghang Tong, Tina Eliassi-Rad, ...
MFCS
2007
Springer
14 years 1 months ago
Nearly Private Information Retrieval
A private information retrieval scheme is a protocol whereby a client obtains a record from a database without the database operators learning anything about which record the clien...
Amit Chakrabarti, Anna Shubina