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» Adaptive Algorithms for Online Decision Problems
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ICDE
2008
IEEE
195views Database» more  ICDE 2008»
14 years 9 months ago
LOCUST: An Online Analytical Processing Framework for High Dimensional Classification of Data Streams
Abstract-- In recent years, data streams have become ubiquitous because of advances in hardware and software technology. The ability to adapt conventional mining problems to data s...
Charu C. Aggarwal, Philip S. Yu
DAC
1999
ACM
14 years 9 months ago
Soft Scheduling in High Level Synthesis
In this paper, we establish a theoretical framework for a new concept of scheduling called soft scheduling. In contrasts to the traditional schedulers referred as hard schedulers,...
Jianwen Zhu, Daniel Gajski
ICDCS
2008
IEEE
14 years 2 months ago
Online Optimization for Latency Assignment in Distributed Real-Time Systems
As distributed real-time applications gain in popularity, a key challenge is to allocate resources so that diverse realtime requirements (including non-real-time applications), di...
Cristian Lumezanu, Sumeer Bhola, Mark Astley
ASIAN
2007
Springer
174views Algorithms» more  ASIAN 2007»
14 years 2 months ago
Combining Heterogeneous Classifiers for Network Intrusion Detection
Extensive use of computer networks and online electronic data and high demand for security has called for reliable intrusion detection systems. A repertoire of different classifier...
Ali Borji
KDD
2004
ACM
139views Data Mining» more  KDD 2004»
14 years 8 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