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» Finding Spatial Patterns in Network Data
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228
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GIS
2004
ACM
16 years 3 months ago
Supporting spatial aggregation in sensor network databases
Sensor networks are unattended deeply distributed systems whose schema can be conceptualized using the relational model. Aggregation queries on the data sampled at each ode are th...
Mehdi Sharifzadeh, Cyrus Shahabi
113
Voted
SUTC
2010
IEEE
15 years 23 days ago
Reordering for Better Compressibility: Efficient Spatial Sampling in Wireless Sensor Networks
—Compressed Sensing (CS) is a novel sampling paradigm that tries to take data-compression concepts down to the sampling layer of a sensory system. It states that discrete compres...
Mohammadreza Mahmudimanesh, Abdelmajid Khelil, Nee...
GIS
2008
ACM
16 years 3 months ago
Density based co-location pattern discovery
Co-location pattern discovery is to find classes of spatial objects that are frequently located together. For example, if two categories of businesses often locate together, they ...
Xiangye Xiao, Xing Xie, Qiong Luo, Wei-Ying Ma
127
Voted
EDBT
2006
ACM
179views Database» more  EDBT 2006»
16 years 2 months ago
TrajPattern: Mining Sequential Patterns from Imprecise Trajectories of Mobile Objects
Abstract. Mobile objects have become ubiquitous in our everyday lives, ranging from cellular phones to sensors, therefore, analyzing and mining mobile data becomes an interesting p...
Jiong Yang, Meng Hu
ALMOB
2006
138views more  ALMOB 2006»
15 years 2 months ago
A combinatorial optimization approach for diverse motif finding applications
Background: Discovering approximately repeated patterns, or motifs, in biological sequences is an important and widely-studied problem in computational molecular biology. Most fre...
Elena Zaslavsky, Mona Singh