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141
Voted
KDD
2006
ACM
191views Data Mining» more  KDD 2006»
16 years 3 months ago
Beyond classification and ranking: constrained optimization of the ROI
Classification has been commonly used in many data mining projects in the financial service industry. For instance, to predict collectability of accounts receivable, a binary clas...
Lian Yan, Patrick Baldasare
139
Voted
KDD
2009
ACM
143views Data Mining» more  KDD 2009»
16 years 4 months ago
Optimizing web traffic via the media scheduling problem
Website traffic varies through time in consistent and predictable ways, with highest traffic in the middle of the day. When providing media content to visitors, it is important to...
Lars Backstrom, Jon M. Kleinberg, Ravi Kumar
91
Voted
KDD
2010
ACM
223views Data Mining» more  KDD 2010»
15 years 5 months ago
An efficient algorithm for a class of fused lasso problems
The fused Lasso penalty enforces sparsity in both the coefficients and their successive differences, which is desirable for applications with features ordered in some meaningful w...
Jun Liu, Lei Yuan, Jieping Ye
167
Voted
JCP
2006
139views more  JCP 2006»
15 years 3 months ago
Generalized Sequential Pattern Mining with Item Intervals
Sequential pattern mining is an important data mining method with broad applications that can extract frequent sequences while maintaining their order. However, it is important to ...
Yu Hirate, Hayato Yamana
SDM
2008
SIAM
118views Data Mining» more  SDM 2008»
15 years 4 months ago
Massive-Scale Kernel Discriminant Analysis: Mining for Quasars
We describe a fast algorithm for kernel discriminant analysis, empirically demonstrating asymptotic speed-up over the previous best approach. We achieve this with a new pattern of...
Ryan Riegel, Alexander Gray, Gordon Richards