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SDM
2010
SIAM
256views Data Mining» more  SDM 2010»
14 years 11 months ago
The Application of Statistical Relational Learning to a Database of Criminal and Terrorist Activity
We apply statistical relational learning to a database of criminal and terrorist activity to predict attributes and event outcomes. The database stems from a collection of news ar...
B. Delaney, Andrew S. Fast, W. M. Campbell, C. J. ...
82
Voted
ICMCS
2009
IEEE
138views Multimedia» more  ICMCS 2009»
14 years 7 months ago
A hybrid FEC-ARQ protocol for low-delay lossless sequential data streaming
Interactive Internet Applications that rely on sequential streams for lossless data exchange often use retransmission protocols (e.g. TCP) for reliability and the guarantee of seq...
Ying-zong Huang, Sanjeev Mehrotra, Jin Li
IRMA
2000
14 years 11 months ago
A survey of spatial data mining methods databases and statistics point of views
This paper reviews the data mining methods that are combined with Geographic Information Systems (GIS) for carrying out spatial analysis of geographic data. We will first look at d...
Karine Zeitouni
KER
2011
14 years 15 days ago
Data mining: past, present and future
Data mining has become a well established discipline within the domain of Artificial Intelligence (AI) and Knowledge Engineering (KE). It has its roots in machine learning and st...
Frans Coenen
92
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ICIC
2005
Springer
15 years 3 months ago
Borderline-SMOTE: A New Over-Sampling Method in Imbalanced Data Sets Learning
In recent years, mining with imbalanced data sets receives more and more attentions in both theoretical and practical aspects. This paper introduces the importance of imbalanced da...
Hui Han, Wenyuan Wang, Binghuan Mao