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AMW
2010
15 years 8 months ago
Robust Clustering of Data Streams using Incremental Optimization
Discovering the patterns in evolving data streams is a very important and challenging task. In many applications, it is useful to detect the dierent patterns evolving over time and...
Basheer Hawwash, Olfa Nasraoui
DEBU
2000
95views more  DEBU 2000»
15 years 6 months ago
Accurately and Reliably Extracting Data from the Web: A Machine Learning Approach
A critical problem in developing information agents for the Web is accessing data that is formatted for human use. We have developed a set of tools for extracting data from web si...
Craig A. Knoblock, Kristina Lerman, Steven Minton,...
PKDD
2005
Springer
109views Data Mining» more  PKDD 2005»
16 years 5 days ago
An Imbalanced Data Rule Learner
Imbalanced data learning has recently begun to receive much attention from research and industrial communities as traditional machine learners no longer give satisfactory results. ...
Canh Hao Nguyen, Tu Bao Ho
ALGOSENSORS
2004
Springer
16 years 2 days ago
Constrained Flow Optimization with Applications to Data Gathering in Sensor Networks
We focus on data gathering problems in energy-constrained wireless sensor networks. We study store-and-gather problems where data are locally stored on the sensors before the data ...
Bo Hong, Viktor K. Prasanna
CATA
2004
15 years 8 months ago
Decision Tree Induction for Dynamic, High-Dimensional Data Using P-Trees
1 Decision Tree Induction is a powerful classification tool that is much used in practice and works well for static data with dozens of attributes. We adapt the decision tree conce...
Anne Denton, William Perrizo