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CORR
2010
Springer
114views Education» more  CORR 2010»
15 years 2 months ago
Efficiently Discovering Hammock Paths from Induced Similarity Networks
ty networks are important abstractions in many information management applications such as recommender systems, corpora analysis, and medical informatics. For instance, in a recom...
M. Shahriar Hossain, Michael Narayan, Naren Ramakr...
PCI
2001
Springer
15 years 8 months ago
SEISMO-SURFER: A Prototype for Collecting, Querying, and Mining Seismic Data
Earthquake phenomena constitute a rich source of information over the years. Typically, the frequency of earthquakes worldwide is one every second. Collecting and querying seismic ...
Yannis Theodoridis
WWW
2007
ACM
16 years 4 months ago
Compare&contrast: using the web to discover comparable cases for news stories
Comparing and contrasting is an important strategy people employ to understand new situations and create solutions for new problems. Similar events can provide hints for problem s...
Jiahui Liu, Earl Wagner, Larry Birnbaum
DEXAW
2006
IEEE
179views Database» more  DEXAW 2006»
15 years 10 months ago
Opportunistic Networks: Challenges in Specializing the P2P Paradigm
We introduce the notion of opportunistic networks or oppnets, some of which can be considered a subclass of the peer-to-peer (P2P) networks. Initially, a relatively small seed opp...
Leszek Lilien, Zille Huma Kamal, Ajay K. Gupta
GI
1998
Springer
15 years 8 months ago
Self-Organizing Data Mining
"KnowledgeMiner" was designed to support the knowledge extraction process on a highly automated level. Implemented are 3 different GMDH-type self-organizing modeling algo...
Frank Lemke, Johann-Adolf Müller