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» Extracting moving regions from spatial data
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ICDE
2006
IEEE
164views Database» more  ICDE 2006»
14 years 1 months ago
Clustering Multidimensional Trajectories based on Shape and Velocity
Recently, the analysis of moving objects has become one of the most important technologies to be used in various applications such as GIS, navigation systems, and locationbased in...
Yutaka Yanagisawa, Tetsuji Satoh
HICSS
2000
IEEE
169views Biometrics» more  HICSS 2000»
14 years 4 days ago
A Software System for Spatial Data Analysis and Modeling
Advances in geographical information systems (GIS) and supporting data collection technology has resulted in the rapid collection of a huge amount of spatial data. However, known ...
Aleksandar Lazarevic, Tim Fiez, Zoran Obradovic
VRCAI
2009
ACM
14 years 2 months ago
Segmentation of architecture shape information from 3D point cloud
Object Segmentation is an important step in object reconstruction from point cloud data of complex urban scenes and in applications to virtual environment. This paper focuses on s...
Xiaojuan Ning, Xiaopeng Zhang, Yinghui Wang, Marc ...
TKDE
2008
156views more  TKDE 2008»
13 years 7 months ago
A Framework for Mining Sequential Patterns from Spatio-Temporal Event Data Sets
Given a large spatio-temporal database of events, where each event consists of the fields event ID, time, location, and event type, mining spatio-temporal sequential patterns ident...
Yan Huang, Liqin Zhang, Pusheng Zhang
AICCSA
2008
IEEE
292views Hardware» more  AICCSA 2008»
14 years 2 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