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CORR
2004
Springer
112views Education» more  CORR 2004»
15 years 7 months ago
Swarms on Continuous Data
While being it extremely important, many Exploratory Data Analysis (EDA [21]) systems have the inhability to perform classification and visualization in a continuous basis or to se...
Vitorino Ramos, Ajith Abraham
194
Voted
ICDM
2010
IEEE
135views Data Mining» more  ICDM 2010»
15 years 5 months ago
Learning a Bi-Stochastic Data Similarity Matrix
An idealized clustering algorithm seeks to learn a cluster-adjacency matrix such that, if two data points belong to the same cluster, the corresponding entry would be 1; otherwise ...
Fei Wang, Ping Li, Arnd Christian König
PAKDD
2009
ACM
94views Data Mining» more  PAKDD 2009»
16 years 2 months ago
When does Co-training Work in Real Data?
Co-training, a paradigm of semi-supervised learning, may alleviate effectively the data scarcity problem (i.e., the lack of labeled examples) in supervised learning. The standard ...
Charles X. Ling, Jun Du, Zhi-Hua Zhou
169
Voted
ICDM
2008
IEEE
113views Data Mining» more  ICDM 2008»
16 years 1 months ago
Online Reliability Estimates for Individual Predictions in Data Streams
Several predictive systems are nowadays vital for operations and decision support. The quality of these systems is most of the time defined by their average accuracy which has lo...
Pedro Pereira Rodrigues, João Gama, Zoran B...
187
Voted
ICDM
2008
IEEE
179views Data Mining» more  ICDM 2008»
16 years 1 months ago
Detection and Exploration of Outlier Regions in Sensor Data Streams
Sensor networks play an important role in applications concerned with environmental monitoring, disaster management, and policy making. Effective and flexible techniques are need...
Conny Franke, Michael Gertz