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KDD
2006
ACM
134views Data Mining» more  KDD 2006»
16 years 3 months ago
Learning to rank networked entities
Several algorithms have been proposed to learn to rank entities modeled as feature vectors, based on relevance feedback. However, these algorithms do not model network connections...
Alekh Agarwal, Soumen Chakrabarti, Sunny Aggarwal
136
Voted
KDD
2004
ACM
179views Data Mining» more  KDD 2004»
16 years 3 months ago
1-dimensional splines as building blocks for improving accuracy of risk outcomes models
Transformation of both the response variable and the predictors is commonly used in fitting regression models. However, these transformation methods do not always provide the maxi...
David S. Vogel, Morgan C. Wang
162
Voted
KDD
2003
ACM
269views Data Mining» more  KDD 2003»
16 years 3 months ago
Maximizing the spread of influence through a social network
Models for the processes by which ideas and influence propagate through a social network have been studied in a number of domains, including the diffusion of medical and technolog...
David Kempe, Jon M. Kleinberg, Éva Tardos
161
Voted
RECOMB
2005
Springer
16 years 3 months ago
An Interaction-Dependent Model for Transcription Factor Binding
Transcriptional regulation is accomplished by several transcription factor proteins that bind to specific DNA elements in the relative vicinity of the gene, and interact with each ...
Li-San Wang, Shane T. Jensen, Sridhar Hannenhalli
206
Voted
VLDB
2007
ACM
119views Database» more  VLDB 2007»
16 years 3 months ago
Dynamic Workload Management for Very Large Data Warehouses: Juggling Feathers and Bowling Balls
Workload management for business intelligence (BI) queries poses different challenges than those addressed in the online transaction processing (OLTP) context. The fundamental pro...
Stefan Krompass, Umeshwar Dayal, Harumi A. Kuno, A...
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