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ECAI
2004
Springer
15 years 5 months ago
Towards Efficient Learning of Neural Network Ensembles from Arbitrarily Large Datasets
Advances in data collection technologies allow accumulation of large and high dimensional datasets and provide opportunities for learning high quality classification and regression...
Kang Peng, Zoran Obradovic, Slobodan Vucetic
PAKDD
2004
ACM
127views Data Mining» more  PAKDD 2004»
15 years 5 months ago
Exploiting Recurring Usage Patterns to Enhance Filesystem and Memory Subsystem Performance
In many cases, normal uses of a system form patterns that will repeat. The most common patterns can be collected into a prediction model which will essentially predict that usage p...
Benjamin Rutt, Srinivasan Parthasarathy
AIME
2003
Springer
15 years 5 months ago
Learning-Free Text Categorization
In this paper, we report on the fusion of simple retrieval strategies with thesaural resources in order to perform large-scale text categorization tasks. Unlike most related system...
Patrick Ruch, Robert H. Baud, Antoine Geissbü...
VISUALIZATION
2002
IEEE
15 years 4 months ago
PRIMA: A Case Study of Using Information Visualization Techniques for Patient Record Analysis
We have created an application, called PRIMA (Patient Record Intelligent Monitoring and Analysis), which can be used to visualize and understand patient record data. It was develo...
Donna L. Gresh, David A. Rabenhorst, Amnon Shabo, ...
AI
2010
Springer
15 years 4 months ago
A Three-Way Decision Approach to Email Spam Filtering
Many classification techniques used for identifying spam emails, treat spam filtering as a binary classification problem. That is, the incoming email is either spam or non-spam....
Bing Zhou, Yiyu Yao, Jigang Luo