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AICCSA
2008
IEEE
292views Hardware» more  AICCSA 2008»
13 years 11 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
GEOINFORMATICA
2006
102views more  GEOINFORMATICA 2006»
13 years 5 months ago
Mining Co-Location Patterns with Rare Events from Spatial Data Sets
Abstract A co-location pattern is a group of spatial features/events that are frequently co-located in the same region. For example, human cases of West Nile Virus often occur in r...
Yan Huang, Jian Pei, Hui Xiong
ICDM
2007
IEEE
105views Data Mining» more  ICDM 2007»
13 years 11 months ago
Fast Mining of Complex Spatial Co-location Patterns Using GLIMIT
Most algorithms for mining interesting spatial colocations integrate the co-location / clique generation task with the interesting pattern mining task, and are usually based on th...
Florian Verhein, Ghazi Al-Naymat
KDD
2009
ACM
221views Data Mining» more  KDD 2009»
14 years 5 months ago
Migration motif: a spatial - temporal pattern mining approach for financial markets
A recent study by two prominent finance researchers, Fama and French, introduces a new framework for studying risk vs. return: the migration of stocks across size-value portfolio ...
Xiaoxi Du, Ruoming Jin, Liang Ding, Victor E. Lee,...