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» Evaluating algorithms that learn from data streams
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GECCO
2003
Springer
160views Optimization» more  GECCO 2003»
15 years 11 months ago
Using Genetic Algorithms for Data Mining Optimization in an Educational Web-Based System
This paper presents an approach for classifying students in order to predict their final grade based on features extracted from logged data in an education web-based system. A comb...
Behrouz Minaei-Bidgoli, William F. Punch
AAAI
1998
15 years 7 months ago
Learning to Extract Symbolic Knowledge from the World Wide Web
The World Wide Web is a vast source of information accessible to computers, but understandable only to humans. The goal of the research described here is to automatically create a...
Mark Craven, Dan DiPasquo, Dayne Freitag, Andrew M...
FSTTCS
2007
Springer
15 years 10 months ago
Efficient and Expressive Tree Filters
Abstract. We investigate streaming evaluation of filters on XML documents, evaluated both at the root node and at an arbitrary node. Motivated by applications in protocol processin...
Michael Benedikt, Alan Jeffrey
ICDE
2007
IEEE
137views Database» more  ICDE 2007»
16 years 7 months ago
SAO: A Stream Index for Answering Linear Optimization Queries
Linear optimization queries retrieve the top-K tuples in a sliding window of a data stream that maximize/minimize the linearly weighted sums of certain attribute values. To effici...
Gang Luo, Kun-Lung Wu, Philip S. Yu
CVPR
2010
IEEE
16 years 2 months ago
Automatic Point-based Facial Trait Judgments Evaluation
Humans constantly evaluate the personalities of other people using their faces. Facial trait judgments have been studied in the psychological field, and have been determined to i...
Mario Rojas, David Masip, jordi Vitria