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CIKM
2004
Springer
15 years 3 months ago
Hierarchical document categorization with support vector machines
Automatically categorizing documents into pre-defined topic hierarchies or taxonomies is a crucial step in knowledge and content management. Standard machine learning techniques ...
Lijuan Cai, Thomas Hofmann
ECRTS
2003
IEEE
15 years 3 months ago
Using Supertasks to Improve Processor Utilization in Multiprocessor Real-Time Systems
We revisit the problem of supertasking in Pfair-scheduled multiprocessor systems. In this approach, a set of tasks, called component tasks, is assigned to a server task, called a ...
Philip Holman, James H. Anderson
CAISE
2001
Springer
15 years 2 months ago
Relaxed Soundness of Business Processes
Business processes play a central role in the reorganization of a company and the (re)design of the respective information system(s). Typically the processes are described with the...
Juliane Dehnert, Peter Rittgen
PAKDD
1999
ACM
124views Data Mining» more  PAKDD 1999»
15 years 2 months ago
Discovery of Equations and the Shared Operational Semantics in Distributed Autonomous Databases
Empirical equations are an important class of regularities that can be discovered in databases. In this paper we concentrate on the role of equations as de nitions of attribute val...
Zbigniew W. Ras, Jan M. Zytkow
KDD
2010
ACM
272views Data Mining» more  KDD 2010»
15 years 1 months ago
Beyond heuristics: learning to classify vulnerabilities and predict exploits
The security demands on modern system administration are enormous and getting worse. Chief among these demands, administrators must monitor the continual ongoing disclosure of sof...
Mehran Bozorgi, Lawrence K. Saul, Stefan Savage, G...