D. Mark, "Geographical information science: Critical issues in an emerging cross-disciplinary research domain," presented at the NSF Workshop, Feb. 1999.  Home/Search   Document Not in Database   Summary   Related Articles   Check

....of image and video databases. Finally, according to several estimates, spatial data constitutes almost 80 of all digital data including multimedia data. Widespread use of spatial databases [28] is leading to an increasing interest in mining interesting and useful but implicit spatial patterns[14, 19, 10, 26]. Traditional data mining algorithms[l] Department of Computer Science, University of Minnesota, Minneapolis, MN 55455, USA. Supported in part by the Army High Performance Computing Research Center under the auspices of the Department of the Army, Army Research Laboratory Cooperative agreement ....

D. Mark. Geographical information science: Critical issues in an emerging cross-disciplinary research domain. In NSF Workshop, Feburary 1999.

.... of which does not necessarily re ect the position or the policy of the government, and no ocial endorsement should be inferred 1 Introduction Widespread use of spatial databases [10, 24, 25, 36] is leading to an increasing interest in mining interesting and useful but implicit spatial patterns [9, 16, 20, 23, 32, 26, 28, 5, 29, 35]. For example, E services are growing along with mobile computing infrastructures such as PDAs and celluar phones. Finding E services frequently located together is of interest to businesses that want to conduct location sensitive market promotions such as promoting a taxi service for customers ....

D. Mark. Geographical Information Science: Critical Issues in an Emerging Cross-disciplinary Research Domain. In NSF Workshop, February 1999.

....its correctness, and completeness. We plan to carry out experimental evaluations and performance tuning in the near future. 1 Introduction Widespread use of spatial databases [8, 21, 22, 28] is leading to an increasing interest in mining interesting and useful but implicit spatial patterns [7, 13, 17, 20, 26]. Ecient tools for extracting information from geo spatial data, the focus of this work, are crucial to organizations which make decisions based on large spatial datasets. These organizations are spread across many domains including ecology and environmental management, public safety, ....

D. Mark. Geographical Information Science: Critical Issues in an Emerging Crossdisciplinary Research Domain. In In NSF Workshop, February 1999.

....Turkey. Email:uozesmi erciyes.edu.tr 1 Introduction Widespread use of spatial databases [Guting, 1994, S. Shekhar and S. Chawla, 2000, Shekhar et al. 1999, Worboys, 1995] is leading to an increasing interest in mining interesting and useful but implicit spatial patterns[Koperski et al. 1996, Mark, 1999, Greenman, 2000, Roddick and Spiliopoulou, 1999] Efficient tools for extracting information from geo spatial data, the focus of this work, are crucial to organizations which make decisions based on large spatial data sets. These organizations are spread across many domains including ecology and ....

Mark, D. (1999). Geographical information science: Critical issues in an emerging cross-disciplinary research domain. In NSF Workshop.

....cost. Furthermore, PLUMS provides a general framework for specializing other data mining techniques for mining spatial data. 1 Introduction Widespread use of spatial databases [14, 31, 34, 38] is leading to an increasing interest in mining interesting and useful but implicit spatial patterns[19, 24, 12, 30]. Efficient tools for extracting information from geo spatial data, the focus of this work, are crucial to organizations which make decisions based on large spatial data sets. These organizations are spread across many domains including ecology and environment management, public safety, ....

D. Mark. Geographical information science: Critical issues in an emerging cross-disciplinary research domain. In NSF Workshop, Feburary 1999.

....its correctness, and completeness. We plan to carry out experimental evaluations and performance tuning in the near future. 1 Introduction Widespread use of spatial databases [8, 21, 22, 28] is leading to an increasing interest in mining interesting and useful but implicit spatial patterns [7, 13, 17, 20, 26]. Efficient tools for extracting information from geo spatial data, the focus of this work, are crucial to organizations which make decisions based on large spatial datasets. These organizations are spread across many domains including ecology and environmental management, public safety, ....

D. Mark. Geographical Information Science: Critical Issues in an Emerging Crossdisciplinary Research Domain. In In NSF Workshop, February 1999.

....selection, spatial databases, co location rules, spatial autocorrelation, spatial outliers 1. INTRODUCTION Widespread use of spatial databases [Gut94, SC01, SCR 99, Wor95] is leading to an increasing interest in mining interesting and useful, but implicit, spatial patterns [Gre00, KAH96, Mar99, RS99, SNM 95] Spatial data sets and patterns are abundant in many application domains related to NASA, the National Imagery and Mapping Agency(NIMA) the National Cancer Institute(NCI) and the United States Department of Transportation(USDOT) Efficient tools for extracting information ....

D. Mark. Geographical Information Science: Critical Issues in an Emerging Cross-disciplinary Research Domain. In NSF Workshop, February 1999. Spatial Data Mining 27

....selection, spatial databases, co location rules, spatial autocorrelation, spatial outliers 1. Introduction Widespread use of spatial databases [Gut94, SC01, SCR 99, Wor95] is leading to an increasing interest in mining interesting and useful, but implicit, spatial patterns [Gre00, KAH96, Mar99, RS99, SNM 95] Spatial data sets and patterns are abundant in many application domains related to NASA, the National Imagery and Mapping Agency(NIMA) the National Cancer Institute(NCI) and the United States Department of Transportation(USDOT) Efficient tools for extracting information ....

D. Mark. Geographical Information Science: Critical Issues in an Emerging Cross-disciplinary Research Domain. In NSF Workshop, February 1999.

....data sets. Data mining products can be a useful tool in decision making and planning just as they are currently in the business world. Knowledge extraction from geo spatial data has also been highlighted as a key area of research in a recently concluded NSF workshop on GIS vision for 2010 [5]. Classical data mining algorithms often perform poorly on spatial data because spatial data sets exhibit a spatial continuity property between neighboring objects. In other words the values of attributes of nearby spatial objects tend to systematically affect each other. In classical geography ....

D. Mark. Geographical Information Science: Critical Issues in an Emerging Cross-Disciplinary Research Domain. NSF Workshop, Feb. 1999.

..... 22 9.2 Current Support for Shashi Shekhar . 22 3 1 Introduction Widespread use of spatial databases [24, 48, 54, 71] is leading to an increasing interest in mining interesting and useful but implicit spatial patterns[34, 40, 21, 47]. Efficient tools for extracting information from geospatial data, the focus of this work, are crucial to organizations which make decisions based on large geospatial data sets. These organizations are spread across many domains including ecology and environment management, public safety, ....

D. Mark. Geographical information science: Critical issues in an emerging cross-disciplinary research domain. In NSF Workshop, Feburary 1999.

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D. Mark, "Geographical information science: Critical issues in an emerging cross-disciplinary research domain," presented at the NSF Workshop, Feb. 1999.

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Mark, D. 1999. Geographical Information Science: Critical Issues in an Emerging Cross-disciplinary Research Domain. In NSF Workshop.

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