Proceedings of the 1st ACM SIGKDD Workshop on Knowledge Discovery from Uncertain Data - U '09
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9781605586755

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Identifying graphs from noisy and incomplete data

Proceedings of the 1st ACM SIGKDD Workshop on Knowledge Discovery from Uncertain Data - U '09 ◽

10.1145/1610555.1610559 ◽

2009 ◽

Author(s):

Galileo Mark S. Namata ◽

Lise Getoor

Keyword(s):

Incomplete Data

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Decision support and profit prediction for online auction sellers

Proceedings of the 1st ACM SIGKDD Workshop on Knowledge Discovery from Uncertain Data - U '09 ◽

10.1145/1610555.1610556 ◽

2009 ◽

Cited By ~ 1

Author(s):

Chia-Hui Chang ◽

Jun-Hong Lin

Keyword(s):

Decision Support ◽

Online Auction

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Efficient algorithms for mining constrained frequent patterns from uncertain data

Proceedings of the 1st ACM SIGKDD Workshop on Knowledge Discovery from Uncertain Data - U '09 ◽

10.1145/1610555.1610557 ◽

2009 ◽

Cited By ~ 12

Author(s):

Carson Kai-Sang Leung ◽

Dale A. Brajczuk

Keyword(s):

Uncertain Data ◽

Efficient Algorithms ◽

Frequent Patterns

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Learning from data with uncertain labels by boosting credal classifiers

Proceedings of the 1st ACM SIGKDD Workshop on Knowledge Discovery from Uncertain Data - U '09 ◽

10.1145/1610555.1610561 ◽

2009 ◽

Cited By ~ 11

Author(s):

Benjamin Quost ◽

Thierry Denœux

Keyword(s):

Learning From Data

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Exploiting contexts to deal with uncertainty in classification

Proceedings of the 1st ACM SIGKDD Workshop on Knowledge Discovery from Uncertain Data - U '09 ◽

10.1145/1610555.1610558 ◽

2009 ◽

Cited By ~ 1

Author(s):

Bianca Zadrozny ◽

Gisele L. Pappa ◽

Wagner Meira ◽

Marcos André Gonçalves ◽

Leonardo Rocha ◽

...

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Using uncertain chemical and thermal data to predict product quality in a casting process

Proceedings of the 1st ACM SIGKDD Workshop on Knowledge Discovery from Uncertain Data - U '09 ◽

10.1145/1610555.1610563 ◽

2009 ◽

Cited By ~ 2

Author(s):

Catarina Dudas ◽

Henrik Boström

Keyword(s):

Product Quality ◽

Casting Process ◽

Thermal Data

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Lazy naive credal classifier

Proceedings of the 1st ACM SIGKDD Workshop on Knowledge Discovery from Uncertain Data - U '09 ◽

10.1145/1610555.1610560 ◽

2009 ◽

Cited By ~ 6

Author(s):

Giorgio Corani ◽

Marco Zaffalon

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On perturbation theory and an algorithm for maximal clique enumeration in uncertain and noisy graphs

Proceedings of the 1st ACM SIGKDD Workshop on Knowledge Discovery from Uncertain Data - U '09 ◽

10.1145/1610555.1610562 ◽

2009 ◽

Cited By ~ 3

Author(s):

William Hendrix ◽

Matthew C. Schmidt ◽

Paul Breimyer ◽

Nagiza F. Samatova

Keyword(s):

Perturbation Theory ◽

Maximal Clique ◽

Clique Enumeration ◽

Maximal Clique Enumeration

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Proceedings of the 1st ACM SIGKDD Workshop on Knowledge Discovery from Uncertain Data - U '09Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By ACM Press

Identifying graphs from noisy and incomplete data

Decision support and profit prediction for online auction sellers

Efficient algorithms for mining constrained frequent patterns from uncertain data

Learning from data with uncertain labels by boosting credal classifiers

Exploiting contexts to deal with uncertainty in classification

Using uncertain chemical and thermal data to predict product quality in a casting process

Lazy naive credal classifier

On perturbation theory and an algorithm for maximal clique enumeration in uncertain and noisy graphs

Proceedings of the 1st ACM SIGKDD Workshop on Knowledge Discovery from Uncertain Data - U '09
Latest Publications