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» Mining Several Data Bases with an Ensemble of Classifiers
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AAAI
2007
13 years 10 months ago
Cautious Inference in Collective Classification
Collective classification can significantly improve accuracy by exploiting relationships among instances. Although several collective inference procedures have been reported, they...
Luke McDowell, Kalyan Moy Gupta, David W. Aha
SDM
2009
SIAM
208views Data Mining» more  SDM 2009»
14 years 4 months ago
A Bayesian Approach Toward Finding Communities and Their Evolutions in Dynamic Social Networks.
Although a large body of work are devoted to finding communities in static social networks, only a few studies examined the dynamics of communities in evolving social networks. I...
Tianbao Yang, Yun Chi, Shenghuo Zhu, Yihong Gong, ...
BMCBI
2006
136views more  BMCBI 2006»
13 years 7 months ago
Java GUI for InterProScan (JIPS): A tool to help process multiple InterProScans and perform ortholog analysis
Background: Recent, rapid growth in the quantity of available genomic data has generated many protein sequences that are not yet biochemically classified. Thus, the prediction of ...
Aijazuddin Syed, Chris Upton
SAC
2005
ACM
14 years 1 months ago
Handling run-time updates in distributed applications
The server side of business software systems is commonly implemented today by an ensemble of Java classes distributed over several hosts. In this scenario, it is often necessary, ...
Marco Milazzo, Giuseppe Pappalardo, Emiliano Tramo...
IDEAS
2006
IEEE
109views Database» more  IDEAS 2006»
14 years 1 months ago
Collaborative Filtering Process in a Whole New Light
Collaborative Filtering (CF) Systems are gaining widespread acceptance in recommender systems and ecommerce applications. These systems combine information retrieval and data mini...
Panagiotis Symeonidis, Alexandros Nanopoulos, Apos...