7581 search results - page 1325 / 1517 » Incompleteness in Data Mining |
199
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KDD
2012
ACM
13 years 6 months ago
2012
ACM
Multi-instance multi-label learning (MIML) is a framework for supervised classification where the objects to be classified are bags of instances associated with multiple labels....
158
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KDD
2012
ACM
13 years 6 months ago
2012
ACM
Online advertising is increasingly becoming more performance oriented, where the decision to show an advertisement to a user is made based on the user’s propensity to respond to...
245
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SIGMOD
2008
ACM
16 years 4 months ago
2008
ACM
Many scientific, financial, data mining and sensor network applications need to work with continuous, rather than discrete data e.g., temperature as a function of location, or sto...
181
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EDBT
2008
ACM
16 years 4 months ago
2008
ACM
Recently, many new applications, such as sensor data monitoring and mobile device tracking, raise up the issue of uncertain data management. Compared to "certain" data, ...
136
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CIDM
2009
IEEE
15 years 11 months ago
2009
IEEE
—Some data mining problems require predictive models to be not only accurate but also comprehensible. Comprehensibility enables human inspection and understanding of the model, m...