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» On Information-Theoretic Measures of Attribute Importance
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DBKDA
2009
IEEE
136views Database» more  DBKDA 2009»
14 years 11 days ago
Visualization and Integration of Databases Using Self-Organizing Map
Abstract--With the growing computer networks, accessible data is becoming increasing distributed. Understanding and integrating remote and unfamiliar data sources are important dat...
Farid Bourennani, Ken Q. Pu, Ying Zhu
ICDAR
2009
IEEE
13 years 6 months ago
Disease-Specific Extraction of Text from Cardiac Echo Videos for Decision Support
Echo videos are an important modality for cardiac decision support. In addition to describing the shape and motion of the heart, they capture important diagnostic measurements as ...
Tanveer Fathima Syeda-Mahmood, David Beymer, Arnon...
FLAIRS
2010
13 years 10 months ago
Handling of Numeric Ranges for Graph-Based Knowledge Discovery
Nowadays, graph-based knowledge discovery algorithms do not consider numeric attributes (they are discarded in the preprocessing step, or they are treated as alphanumeric values w...
Oscar E. Romero, Jesus A. Gonzalez, Lawrence B. Ho...
VIS
2007
IEEE
123views Visualization» more  VIS 2007»
14 years 9 months ago
Multifield Visualization Using Local Statistical Complexity
Modern unsteady (multi-)field visualizations require an effective reduction of the data to be displayed. From a huge amount of information the most informative parts have to be ext...
Heike Jänicke, Alexander Wiebel, Gerik Scheuerm...
AAAI
2004
13 years 10 months ago
Error Detection and Impact-Sensitive Instance Ranking in Noisy Datasets
Given a noisy dataset, how to locate erroneous instances and attributes and rank suspicious instances based on their impacts on the system performance is an interesting and import...
Xingquan Zhu, Xindong Wu, Ying Yang