1553 search results - page 100 / 311 » Learning from Multiple Sources of Inaccurate Data |
142
Voted
KDD
2005
ACM
16 years 4 months ago
2005
ACM
Machine learning and data mining can be effectively used to model, classify and discover interesting information for a wide variety of data including email. The Email Mining Toolk...
123
Voted
ICTAI
2005
IEEE
15 years 9 months ago
2005
IEEE
Learning from noisy data is a challenging and reality issue for real-world data mining applications. Common practices include data cleansing, error detection and classifier ensemb...
127
Voted
DATAMINE
2006
15 years 3 months ago
2006
To efficiently find global patterns from a multi-database, information in each local database must first be mined and summarized at the local level. Then only the summarized infor...
145
Voted
SPE
2008
15 years 3 months ago
2008
: Integration of multiple data sources is becoming increasingly important for enterprises that cooperate closely with their partners for e-commerce. OLAP enables analysts and decis...
153
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CVPR
2010
IEEE
15 years 9 months ago
2010
IEEE
Automatic categorization of videos in a Web-scale unconstrained collection such as YouTube is a challenging task. A key issue is how to build an effective training set in the pres...