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Predicting Locations Using Map Similarity(PLUMS): A Framework for Spatial Data Mining (2000)  (Make Corrections)  
Sanjay Chawla, Shashi Shekhar



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Abstract: Spatial data mining is a process to discover interesting, potentially useful and high utility patterns embedded in spatial databases. Efficient tools for extracting information from spatial data sets can be of importance to organizations which own, generate and manage large spatial data sets. The current approach towards solving spatial data mining problems is to use classical data mining tools after "materializing" spatial relationships. However, the key property of spatial data is that of ... (Update)

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BibTeX entry:   (Update)

@misc{ chawla-predicting,
  author = "Sanjay Chawla and Shashi Shekhar",
  title = "Predicting Locations Using Map Similarity(PLUMS): A Framework for Spatial
    Data Mining",
  url = "citeseer.ist.psu.edu/561418.html" }
Citations (may not include all citations):
56   Signal Detection Theory and ROC analysis (context) - Egan - 1975
53   Statistical analysis of spatial point patterns (context) - Diggle - 1993
33   Spatial Econometrics: methods and models (context) - Anselin - 1988
16   A generalized Estimating Equations Approach for Spattally Co.. (context) - Albert, McShane - 1995
15   Routledge and Kegan Paul (context) - Could, at - 1985
13   Tutorial on database mining (context) - Agrawal - 1994
9   Knowledge discovery in spatial databases - Ester, Kriegel et al.
1   Revised Edition (context) - Cressie, for - 1993
1   Svm Data Concepts (context) - Cherkassky, Muller - 1998

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Equivalence Classes of Direction Objects and Applications - Shekhar, Liu, Chawla (1999)   (Correct)
Spatial Databases: Accomplishments and Research Needs - Shekhar, Chawla, Ravada.. (1997)   (Correct)
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