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» Mining Very Large Databases
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134
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ISCI
2008
116views more  ISCI 2008»
15 years 3 months ago
Discovery of maximum length frequent itemsets
The use of frequent itemsets has been limited by the high computational cost as well as the large number of resulting itemsets. In many real-world scenarios, however, it is often ...
Tianming Hu, Sam Yuan Sung, Hui Xiong, Qian Fu
152
Voted
DMIN
2009
136views Data Mining» more  DMIN 2009»
15 years 1 months ago
Evaluating Algorithms for Concept Description
When performing concept description, models need to be evaluated both on accuracy and comprehensibility. A comprehensible concept description model should present the most importan...
Cecilia Sönströd, Ulf Johansson, Tuve L&...
ICMLA
2007
15 years 5 months ago
Memory-based context-sensitive spelling correction at web scale
We study the problem of correcting spelling mistakes in text using memory-based learning techniques and a very large database of token n-gram occurrences in web text as training d...
Andrew Carlson, Ian Fette
112
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ECCV
2010
Springer
15 years 7 months ago
Feature tracking for wide-baseline image retrieval
We address the problem of large scale image retrieval in a wide-baseline setting, where for any query image all the matching database images will come from very different viewpoint...
118
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ERCIMDL
2000
Springer
175views Education» more  ERCIMDL 2000»
15 years 7 months ago
MADILIS, the Microsoft Access-Based Digital Library System
The ASU Libraries' staff had considerable experience creating digital library systems to satisfy the needs of a major university library. These systems were designed to be hig...
Scott Herrington, Philip Konomos