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ISPASS
2009
IEEE
15 years 4 months ago
Machine learning based online performance prediction for runtime parallelization and task scheduling
—With the emerging many-core paradigm, parallel programming must extend beyond its traditional realm of scientific applications. Converting existing sequential applications as w...
Jiangtian Li, Xiaosong Ma, Karan Singh, Martin Sch...
WSC
2007
15 years 1 days ago
Flexible modeling of linear schedules for integrated mathematical analysis
Developing and analyzing schedules is essential for successfully controlling the time aspect of construction projects. The critical path method of scheduling is by far the most wi...
Gunnar Lucko
SAC
2004
ACM
15 years 3 months ago
WebUml: reverse engineering of web applications
Web applications have become complex and crucial for many firms, especially when combined with areas such as CRM (Customer Relationship Management) and BPR (Business Process Reen...
Carlo Bellettini, Alessandro Marchetto, Andrea Tre...
COSIT
2003
Springer
145views GIS» more  COSIT 2003»
15 years 3 months ago
Extracting Landmarks with Data Mining Methods
Abstract. The navigation task is a very demanding application for mobile users. The algorithms of present software solutions are based on the established methods of car navigation ...
Birgit Elias
KDD
1998
ACM
106views Data Mining» more  KDD 1998»
15 years 1 months ago
Simultaneous Reliability Evaluation of Generality and Accuracy for Rule Discovery in Databases
This paper presents an algorithm for discovering conjunction rules with high reliability from data sets. The discovery of conjunction rules, each of which is a restricted form of ...
Einoshin Suzuki