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INCDM
2010
Springer
193views Data Mining» more  INCDM 2010»
13 years 11 months ago
Trend Mining in Social Networks: A Study Using a Large Cattle Movement Database
This paper reports on a mechanism to identify temporal spatial trends in social networks. The trends of interest are defined in terms of the occurrence frequency of time stamped p...
Puteri N. E. Nohuddin, Rob Christley, Frans Coenen...
COSIT
2003
Springer
145views GIS» more  COSIT 2003»
14 years 18 days ago
Extracting Landmarks with Data Mining Methods
Abstract. The navigation task is a very demanding application for mobile users. The algorithms of present software solutions are based on the established methods of car navigation ...
Birgit Elias
KDD
1997
ACM
146views Data Mining» more  KDD 1997»
13 years 11 months ago
Density-Connected Sets and their Application for Trend Detection in Spatial Databases
1 Several clustering algorithms have been proposed for class identification in spatial databases such as earth observation databases. The effectivity of the well-known algorithms ...
Martin Ester, Hans-Peter Kriegel, Jörg Sander...
AICCSA
2008
IEEE
292views Hardware» more  AICCSA 2008»
14 years 1 months ago
Enumeration of maximal clique for mining spatial co-location patterns
This paper presents a systematic approach to mine colocation patterns in Sloan Digital Sky Survey (SDSS) data. SDSS Data Release 5 (DR5) contains 3.6 TB of data. Availability of s...
Ghazi Al-Naymat
SSD
1999
Springer
197views Database» more  SSD 1999»
13 years 11 months ago
3D Shape Histograms for Similarity Search and Classification in Spatial Databases
Classification is one of the basic tasks of data mining in modern database applications including molecular biology, astronomy, mechanical engineering, medical imaging or meteorolo...
Mihael Ankerst, Gabi Kastenmüller, Hans-Peter...