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Mining Knowledge in Geographical Data (1998)  (Make Corrections)  (12 citations)
Krzysztof Koperski, Jiawei Han, Junas Adhikary
Comm. A.C.M.



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Abstract: this article, a short overview is provided to summarize recent studies on spatial data mining, including spatial data mining techniques, their strengths and weaknesses, how and when to apply them, and what are the challenges yet to be faced (Update)

Context of citations to this paper:   More

...methods. Recently, there have been proposals that expand the application of knowledge discovery methods on muO34 dimensional data [9, 10]. Associationruti have are implications of the form A # B, A # J , B # J where A, B and J are sets of items and are characterized...

.... distance, direction between objects) statistic analyses or terrain model analysis (e.g. visibility analysis) Spatial data mining [11, 24] is a special kind of data mining [12] The main difference between data mining and spatial data mining is that in spatial data mining...

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Spatio-Temporal Data Structures for Minimization of Total .. - Estivill-Castro, Houle (2001)   (Correct)
Generalizing Temporal Dependencies for Non-Temporal Dimensions - Wijsen, Ng (1999)   (Correct)
Data Structures for Spatial Data Mining - Kuba (2001)   (Correct)

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4:   STING: A statistical information grid approach to spatial data mining - Wang, Yang et al. - 1997
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BibTeX entry:   (Update)

K. Koperski, J. Han, and J. Adhikary. Mining Knowledge in Geographical Data. In Communications of ACM, 1998. (to appear). http://citeseer.ist.psu.edu/koperski98mining.html   More

@article{ koperski98mining,
    author = "K. Koperski and J. Han and J. Adhikary",
    title = "Mining knowledge in geographical data",
    journal = "Comm. A.C.M.",
    year = "1998",
    url = "citeseer.ist.psu.edu/koperski98mining.html" }
Citations (may not include all citations):
474   Advances in Knowledge Discovery and Data Mining (context) - Fayyad, Piatetsky-Shapiro et al. - 1996
242   Efficient and effective clustering method for spatial data m.. - Ng, Hah - 1994
84   Discovery of Spatial Association Rules in Geographic Informa.. - Koperski, Hah - 1995
52   Knowledge Discovery in Large Spatial Databases: Focusing Tec.. - Ester, Kriegel et al. - 1995
34   Finding Aggregate Proximity Relationships and Commonalities .. (context) - Knorr, Ng - 1996
28   Selecting among Rules Induced from a Hurricane Database (context) - Major, Mangano - 1993
27   Discovery of General Knowledge in Large Spatial Databases - Lu, Hah et al. - 1993
20   Visualization Techniques for Mining Large Databases: A Compa.. - Keim, Kriegel - 1996
14   Scalable Exploratory Data Mining of Distributed Geoscientifi.. - Shek, Muntra et al. - 1996
11   Image Database Exploration: Progress and Challenges (context) - Fayyad, Smyth - 1993
6   Data Mining of Multidimensional Remotely Sensed Images (context) - Cromp, Cambell - 1993



The graph only includes citing articles where the year of publication is known.


Documents on the same site (http://www-faculty.cs.uiuc.edu/~hanj/pubs/kdd.htm):   More
Selective Materialization: An Efficient Method for.. - Han, Stefanovic.. (1998)   (Correct)
An Efficient Two-Step Method for Classification of Spatial.. - Koperski, Hah, Stefanovic   (Correct)
Data Mining Methods for the Analysis of Large Geographic.. - Koperski, Han (1996)   (Correct)

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