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KDD
2009
ACM
173views Data Mining» more  KDD 2009»
15 years 10 months ago
The offset tree for learning with partial labels
We present an algorithm, called the offset tree, for learning in situations where a loss associated with different decisions is not known, but was randomly probed. The algorithm i...
Alina Beygelzimer, John Langford
JCP
2006
173views more  JCP 2006»
14 years 9 months ago
Database Intrusion Detection using Weighted Sequence Mining
Data mining is widely used to identify interesting, potentially useful and understandable patterns from a large data repository. With many organizations focusing on webbased on-lin...
Abhinav Srivastava, Shamik Sural, Arun K. Majumdar
CEC
2008
IEEE
14 years 10 months ago
Design and implementation of a patterns recognition system for analysis of biological liquids
Given the great amount of data that are generated of the experiments to analyze information of extracted chemical fluids of the brain of a rodent, arises the necessity to design an...
Jose Aguilar, Luis Hernandez, Anny Olivar
EDBT
2006
ACM
117views Database» more  EDBT 2006»
15 years 1 months ago
Model-Independent Schema and Data Translation
Abstract. We describe MIDST, an implementation of the model management operator ModelGen, which translates schemas from one model to another, for example from OO to SQL or from SQL...
Paolo Atzeni, Paolo Cappellari, Philip A. Bernstei...
MASS
2010
157views Communications» more  MASS 2010»
14 years 7 months ago
Spatial extension of the Reality Mining Dataset
Data captured from a live cellular network with the real users during their common daily routine help to understand how the users move within the network. Unlike the simulations wi...
Michal Ficek, Lukas Kencl