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KDD
2004
ACM
139views Data Mining» more  KDD 2004»
16 years 6 months ago
Machine learning for online query relaxation
In this paper we provide a fast, data-driven solution to the failing query problem: given a query that returns an empty answer, how can one relax the query's constraints so t...
Ion Muslea
AAIM
2009
Springer
123views Algorithms» more  AAIM 2009»
16 years 1 months ago
Efficiently Generating k-Best Solutions to Procurement Auctions
: © Efficiently Generating k-Best Solutions to Procurement Auctions Andrew Byde, Terence Kelly, Yunhong Zhou, Robert Tarjan HP Laboratories HPL-2009-163 procurement, auctions, dec...
Andrew Byde, Terence Kelly, Yunhong Zhou, Robert E...
CASES
2009
ACM
16 years 27 days ago
A platform for developing adaptable multicore applications
Computer systems are resource constrained. Application adaptation is a useful way to optimize system resource usage while satisfying the application performance constraints. Previ...
Dan Fay, Li Shang, Dirk Grunwald
PKDD
2005
Springer
129views Data Mining» more  PKDD 2005»
15 years 12 months ago
Interestingness is Not a Dichotomy: Introducing Softness in Constrained Pattern Mining
Abstract. The paradigm of pattern discovery based on constraints was introduced with the aim of providing to the user a tool to drive the discovery process towards potentially inte...
Stefano Bistarelli, Francesco Bonchi
INFOCOM
2003
IEEE
15 years 11 months ago
Algorithms for Computing QoS Paths with Restoration
— There is a growing interest among service providers to offer new services with Quality of Service (QoS) guaranties that are also resilient to failures. Supporting QoS connectio...
Yigal Bejerano, Yuri Breitbart, Rajeev Rastogi, Al...