144
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KDD
2005
ACM
16 years 7 months ago
2005
ACM
Several authors have suggested viewing boosting as a gradient descent search for a good fit in function space. At each iteration observations are re-weighted using the gradient of...
184
click to vote
KDD
2005
ACM
16 years 7 months ago
2005
ACM
Discriminative sequential learning models like Conditional Random Fields (CRFs) have achieved significant success in several areas such as natural language processing, information...
177
click to vote
KDD
2005
ACM
16 years 7 months ago
2005
ACM
Joint mining of multiple data sets can often discover interesting, novel, and reliable patterns which cannot be obtained solely from any single source. For example, in cross-marke...
154
click to vote
KDD
2005
ACM
16 years 7 months ago
2005
ACM
The WHO Collaborating Centre for International Drug Monitoring in Uppsala, Sweden, maintains and analyses the world's largest database of reports on suspected adverse drug re...
157
click to vote
KDD
2005
ACM
16 years 7 months ago
2005
ACM
We describe an application of relational knowledge discovery to a key regulatory mission of the National Association of Securities Dealers (NASD). NASD is the world's largest...
173
click to vote
KDD
2005
ACM
16 years 7 months ago
2005
ACM
We propose a new class of spatio-temporal cluster detection methods designed for the rapid detection of emerging space-time clusters. We focus on the motivating application of pro...
196
click to vote
KDD
2005
ACM
16 years 7 months ago
2005
ACM
While scalable data mining methods are expected to cope with massive Web data, coping with evolving trends in noisy data in a continuous fashion, and without any unnecessary stopp...
172
click to vote
KDD
2005
ACM
16 years 7 months ago
2005
ACM
Knowledge Discovery in time series usually requires symbolic time series. Many discretization methods that convert numeric time series to symbolic time series ignore the temporal ...
209
click to vote
KDD
2005
ACM
16 years 7 months ago
2005
ACM
Temporal Text Mining (TTM) is concerned with discovering temporal patterns in text information collected over time. Since most text information bears some time stamps, TTM has man...