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KDD
2009
ACM
152views Data Mining» more  KDD 2009»
16 years 7 months ago
A multi-relational approach to spatial classification
Spatial classification is the task of learning models to predict class labels based on the features of entities as well as the spatial relationships to other entities and their fe...
Richard Frank, Martin Ester, Arno Knobbe
DKE
2010
167views more  DKE 2010»
15 years 4 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...
TSD
2010
Springer
15 years 4 months ago
Comparison of Different Lemmatization Approaches through the Means of Information Retrieval Performance
This paper presents a quantitative performance analysis of two different approaches to the lemmatization of the Czech text data. The first one is based on manually prepared diction...
Jakub Kanis, Lucie Skorkovská
PAKDD
2000
ACM
161views Data Mining» more  PAKDD 2000»
15 years 10 months ago
Adaptive Boosting for Spatial Functions with Unstable Driving Attributes
Combining multiple global models (e.g. back-propagation based neural networks) is an effective technique for improving classification accuracy by reducing a variance through manipu...
Aleksandar Lazarevic, Tim Fiez, Zoran Obradovic
TKDE
2010
190views more  TKDE 2010»
15 years 5 months ago
Effectively Indexing the Uncertain Space
—With the rapid development of various optical, infrared, and radar sensors and GPS techniques, there are a huge amount of multidimensional uncertain data collected and accumulat...
Ying Zhang, Xuemin Lin, Wenjie Zhang, Jianmin Wang...