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DOLAP
2004
ACM
15 years 9 months ago
An analysis of additivity in OLAP systems
Accurate summary data is of paramount concern in data warehouse systems; however, there have been few attempts to completely characterize the ability to summarize measures. The su...
John Horner, Il-Yeol Song, Peter P. Chen
PAKDD
2000
ACM
161views Data Mining» more  PAKDD 2000»
15 years 8 months ago
Adaptive Boosting for Spatial Functions with Unstable Driving Attributes
Combining multiple global models (e.g. back-propagation based neural networks) is an effective technique for improving classification accuracy by reducing a variance through manipu...
Aleksandar Lazarevic, Tim Fiez, Zoran Obradovic
APIN
2008
305views more  APIN 2008»
15 years 4 months ago
A generalized model for financial time series representation and prediction
Abstract Traditional financial analysis systems utilize lowlevel price data as their analytical basis. For example, a decision-making system for stock predictions regards raw price...
Depei Bao
ICML
2007
IEEE
16 years 5 months ago
The rendezvous algorithm: multiclass semi-supervised learning with Markov random walks
We consider the problem of multiclass classification where both labeled and unlabeled data points are given. We introduce and demonstrate a new approach for estimating a distribut...
Arik Azran
ICML
2005
IEEE
16 years 5 months ago
Robust one-class clustering using hybrid global and local search
Unsupervised learning methods often involve summarizing the data using a small number of parameters. In certain domains, only a small subset of the available data is relevant for ...
Gunjan Gupta, Joydeep Ghosh