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CIKM
2008
Springer
13 years 9 months ago
Metric-based ontology learning
Ontology learning is an important task in Artificial Intelligence, Semantic Web and Text Mining. This paper presents a novel framework for, and solutions to, three practical probl...
Hui Yang, Jamie Callan
KDD
2001
ACM
228views Data Mining» more  KDD 2001»
14 years 7 months ago
REVI-MINER, a KDD-environment for deviation detection and analysis of warranty and goodwill cost statements in automotive indust
REVI-MINER is a KDD-environment which supports the detection and analysis of deviations in warranty and goodwill cost statements. The system was developed within the framework of ...
Edgar Hotz, Udo Grimmer, W. Heuser, Gholamreza Nak...
IDA
2007
Springer
13 years 7 months ago
Removing biases in unsupervised learning of sequential patterns
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize th...
Yoav Horman, Gal A. Kaminka
HPDC
2009
IEEE
14 years 2 months ago
Pluggable parallelisation
This paper presents the concept of pluggable parallelisation that allows scientists to develop “sequential like” codes that can take advantage of multi-core, cluster and grid ...
Rui C. Gonçalves, João Luís S...
CLUSTER
2005
IEEE
14 years 29 days ago
Memory Management Support for Multi-Programmed Remote Direct Memory Access (RDMA) Systems
Current operating systems offer basic support for network interface controllers (NICs) supporting remote direct memory access (RDMA). Such support typically consists of a device d...
Kostas Magoutis