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» Discovering Classification from Data of Multiple Sources
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RECOMB
2006
Springer
14 years 7 months ago
Integrated Protein Interaction Networks for 11 Microbes
We have combined four different types of functional genomic data to create high coverage protein interaction networks for 11 microbes. Our integration algorithm naturally handles s...
Balaji S. Srinivasan, Antal F. Novak, Jason Flanni...
CCR
2006
82views more  CCR 2006»
13 years 7 months ago
The internet AS-level topology: three data sources and one definitive metric
We calculate an extensive set of characteristics for Internet AS topologies extracted from the three data sources most frequently used by the research community: traceroutes, BGP,...
Priya Mahadevan, Dmitri V. Krioukov, Marina Fomenk...
DKE
2010
167views more  DKE 2010»
13 years 5 months ago
Discovering private trajectories using background information
Trajectories are spatio-temporal traces of moving objects which contain valuable information to be harvested by spatio-temporal data mining techniques. Applications like city traf...
Emre Kaplan, Thomas Brochmann Pedersen, Erkay Sava...
WOA
2001
13 years 9 months ago
Agents Supporting Information Integration: The MIKS Framework
During past years we have developed the MOMIS (Mediator envirOnment for Multiple Information Sources) system for the integration of data from structured and semi-structured data s...
Gionata Gelati, Francesco Guerra, Maurizio Vincini
KDD
1997
ACM
114views Data Mining» more  KDD 1997»
13 years 11 months ago
Schema Discovery for Semistructured Data
To formulate a meaningful query on semistructured data, such as on the Web, that matches some of the source’s structure, we need first to discover something about how the infor...
Ke Wang, Huiqing Liu