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KI
1999
Springer
15 years 11 months ago
Computing Probabilistic Least Common Subsumers in Description Logics
Computing least common subsumers in description logics is an important reasoning service useful for a number of applications. As shown in the literature, it can, for instance, be u...
Thomas Mantay, Ralf Möller, Alissa Kaplunova
KDD
2000
ACM
115views Data Mining» more  KDD 2000»
15 years 10 months ago
A framework for specifying explicit bias for revision of approximate information extraction rules
Information extraction is one of the most important techniques used in Text Mining. One of the main problems in building information extraction (IE) systems is that the knowledge ...
Ronen Feldman, Yair Liberzon, Binyamin Rosenfeld, ...
PKDD
2010
Springer
178views Data Mining» more  PKDD 2010»
15 years 4 months ago
Graph Regularized Transductive Classification on Heterogeneous Information Networks
A heterogeneous information network is a network composed of multiple types of objects and links. Recently, it has been recognized that strongly-typed heterogeneous information net...
Ming Ji, Yizhou Sun, Marina Danilevsky, Jiawei Han...
IDEAL
2009
Springer
16 years 1 months ago
STORM - A Novel Information Fusion and Cluster Interpretation Technique
Abstract. Analysis of data without labels is commonly subject to scrutiny by unsupervised machine learning techniques. Such techniques provide more meaningful representations, usef...
Jan Feyereisl, Uwe Aickelin
KDD
2012
ACM
222views Data Mining» more  KDD 2012»
13 years 9 months ago
Rise and fall patterns of information diffusion: model and implications
The recent explosion in the adoption of search engines and new media such as blogs and Twitter have facilitated faster propagation of news and rumors. How quickly does a piece of ...
Yasuko Matsubara, Yasushi Sakurai, B. Aditya Praka...