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» Discovering Classification from Data of Multiple Sources
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CHI
2003
ACM
16 years 2 months ago
MiTAP for real users, real data, real problems
The MiTAP system was developed as an experimental prototype using human language technologies for monitoring disease outbreaks. The system provides timely, multi-lingual, global i...
Laurie E. Damianos, Steve Wohlever, Robyn Kozierok...
BMCBI
2010
113views more  BMCBI 2010»
15 years 1 months ago
Efficient protein alignment algorithm for protein search
Background: Proteins show a great variety of 3D conformations, which can be used to infer their evolutionary relationship and to classify them into more general groups; therefore ...
Zaixin Lu, Zhiyu Zhao, Bin Fu
KDD
2002
ACM
187views Data Mining» more  KDD 2002»
16 years 2 months ago
Transforming classifier scores into accurate multiclass probability estimates
Class membership probability estimates are important for many applications of data mining in which classification outputs are combined with other sources of information for decisi...
Bianca Zadrozny, Charles Elkan
102
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CHI
2010
ACM
15 years 8 months ago
A case study of micro-blogging in the enterprise: use, value, and related issues
This is a case study about the early adoption and use of micro-blogging in a Fortune 500 company. The study used several independent data sources: five months of empirical micro-b...
Jun Zhang, Yan Qu, Jane Cody, Yulingling Wu
DKE
2007
199views more  DKE 2007»
15 years 1 months ago
QMatch - Using paths to match XML schemas
Integration of multiple heterogeneous data sources continues to be a critical problem for many application domains and a challenge for researchers world-wide. With the increasing ...
Naiyana Tansalarak, Kajal T. Claypool