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MLDM
2009
Springer
15 years 4 months ago
Relational Frequent Patterns Mining for Novelty Detection from Data Streams
We face the problem of novelty detection from stream data, that is, the identification of new or unknown situations in an ordered sequence of objects which arrive on-line, at cons...
Michelangelo Ceci, Annalisa Appice, Corrado Loglis...
PKDD
2007
Springer
95views Data Mining» more  PKDD 2007»
15 years 3 months ago
Pruning Relations for Substructure Discovery of Multi-relational Databases
Multirelational data mining methods discover patterns across multiple interlinked tables (relations) in a relational database. In many large organizations, such a multi-relational ...
Hongyu Guo, Herna L. Viktor, Eric Paquet
VLSISP
2011
225views Database» more  VLSISP 2011»
14 years 4 months ago
DOA Estimation for Multiple Sparse Sources with Arbitrarily Arranged Multiple Sensors
Shoko Araki, Hiroshi Sawada, Ryo Mukai, Shoji Maki...
SSD
1995
Springer
146views Database» more  SSD 1995»
15 years 1 months ago
Discovery of Spatial Association Rules in Geographic Information Databases
Spatial data mining, i.e., discovery of interesting, implicit knowledge in spatial databases, is an important task for understanding and use of spatial data- and knowledge-bases. I...
Krzysztof Koperski, Jiawei Han
KDD
2007
ACM
151views Data Mining» more  KDD 2007»
15 years 10 months ago
Efficient mining of iterative patterns for software specification discovery
Studies have shown that program comprehension takes up to 45% of software development costs. Such high costs are caused by the lack-of documented specification and further aggrava...
Chao Liu 0001, David Lo, Siau-Cheng Khoo