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» A Join-Less Approach for Co-Location Pattern Mining: A Summa...
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ICDM
2005
IEEE
149views Data Mining» more  ICDM 2005»
13 years 9 months ago
A Join-Less Approach for Co-Location Pattern Mining: A Summary of Results
Spatial co-location patterns represent the subsets of features whose instances are frequently located together in geographic space. Co-location pattern discovery presents challeng...
Jin Soung Yoo, Shashi Shekhar, Mete Celik
ICTAI
2006
IEEE
13 years 9 months ago
Sustained Emerging Spatio-Temporal Co-occurrence Pattern Mining: A Summary of Results
Sustained emerging spatio-temporal co-occurrence patterns (SECOPs) represent subsets of object-types that are increasingly located together in space and time. Discovering SECOPs i...
Mete Celik, Shashi Shekhar, James P. Rogers, James...
KDD
2009
ACM
188views Data Mining» more  KDD 2009»
14 years 4 months ago
Characteristic relational patterns
Research in relational data mining has two major directions: finding global models of a relational database and the discovery of local relational patterns within a database. While...
Arne Koopman, Arno Siebes
BIBE
2007
IEEE
141views Bioinformatics» more  BIBE 2007»
13 years 7 months ago
Graph and Topological Structure Mining on Scientific Articles
In this paper, we investigate a new approach for literature mining. We use frequent subgraph mining, and its generalization topological structure mining, for finding interesting re...
Fan Wang, Ruoming Jin, Gagan Agrawal, Helen Piontk...