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KDD
2005
ACM
107views Data Mining» more  KDD 2005»
15 years 11 months ago
Predicting the product purchase patterns of corporate customers
This paper describes TIPPPS (Time Interleaved Product Purchase Prediction System), which analyses billing data of corporate customers in a large telecommunications company in orde...
Bhavani Raskutti, Alan Herschtal
PPOPP
2006
ACM
16 years 2 days ago
Predicting bounds on queuing delay for batch-scheduled parallel machines
Most space-sharing parallel computers presently operated by high-performance computing centers use batch-queuing systems to manage processor allocation. In many cases, users wishi...
John Brevik, Daniel Nurmi, Richard Wolski
RTAS
2003
IEEE
15 years 11 months ago
Towards Predictable Real-time Java Object Request Brokers
Distributed real-time and embedded (DRE) applications often possess stringent quality of service (QoS) requirements. Designing middleware for DRE applications poses several challe...
Arvind S. Krishna, Raymond Klefstad, Douglas C. Sc...
ICLP
2004
Springer
15 years 11 months ago
Applying CLP to Predict Extra-Functional Properties of Component-Based Models
A component is the basic re-usable unit of composition to build composite systems by connecting to others through their provided and required ports. Checking the functional complia...
Olivier Defour, Jean-Marc Jézéquel, ...
WWW
2011
ACM
15 years 1 months ago
Dynamics of bidding in a P2P lending service: effects of herding and predicting loan success
Online peer-to-peer (P2P) lending services are a new type of social platform that enables individuals borrow and lend money directly from one to another. In this paper, we study t...
Simla Ceyhan, Xiaolin Shi, Jure Leskovec