Knowledge discovery from area-class resource maps: Data preprocessing for noise reduction

Transactions in GIS

Volumn 8, Issue 3, 2004, Pages 297-308

  Qi, Feng ^a  

^a UNIVERSITY OF WISCONSIN MADISON   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

GRAPHIC METHODS; NOISE ABATEMENT;

CASE-STUDIES; DATA MINING ALGORITHM; DATA PREPROCESSING; DATA-MINING TECHNIQUES; KNOWLEDGE DISCOVERY PROCESS; MAP DATA; RESOURCE MAP; SAMPLING METHOD; SOIL MAPS; SPATIAL DATA MINING;

DATA MINING;

ALGORITHM; DATA PROCESSING; IMAGE ANALYSIS; MAPPING METHOD; NATURAL RESOURCE; PIXEL; SIGNAL-TO-NOISE RATIO; SPATIAL DATA;

EID: 2442697457     PISSN: 13611682     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1467-9671.2004.00184.x     Document Type: Article

References (20)

1. Bernstein A and Provost F 2001 An intelligent assistant for the knowledge discovery process. In Proceedings of the IJCAI-01 Workshop on Wrappers for Performance Enhancement in KDD. Seattle, WA, Morgan Kaufmann
2. Ehlschlaeger C R and Goodchild M F 1994 Dealing with uncertainty in categorical coverage maps: Defining, visualizing, and managing errors. In Proceedings of the Workshop on Geographical Information Systems at the Conference on Information and Knowledge Management, Gaithersburg, Maryland: 86-91
3. Esposito F, Malerba D, and Semeraro G 1997 A comparative analysis of methods for pruning decision trees. IEEE Transactions on Pattern Analysis and Machine Intelligence 19: 476-91
4. Ester M, Kriegel H P, and Sander J 2001 Algorithms and applications for spatial data mining. In Miller H J and Han J (eds) Geographic Data Mining and Knowledge Discovery. New York, Taylor and Francis: 160-87
5. Fayyad U, Piatetsky-Shapiro G, and Smyth P 1996 From data mining to knowledge discovery: An overview. In Fayyad U, Piatetsky-Shapiro G, Smyth P, and Uthurusamy R (eds) Advances in Knowledge Discovery and Data Mining. Menlo Park, CA, AAAI/MIT Press: 1-34
6. Gahegan M 2000 On the applications of inductive machine learning tools to geographical analysis. Geographical Analysis 32: 113-39
7. Glinka K D 1927 The Great Soil Groups of the World and their Development. Ann Arbor, MI, Edwards Bros
8. Goodchild M F, Sun G, and Yang S 1992 Development and test of an error model for categorical data. International Journal of Geographical Information Systems 6: 87-104
9. Hudson B D 1990 Concepts of soil mapping and interpretation. Soil Survey Horizons 31: 63-73
10. Jenny H 1961 E.W. Hilgard and the Birth of Modern Soil Science. Berkeley, CA, Farallo Publications
11. Kietz J U, Vaduva A, and Zücker R 2001 MiningMart: Metadata-driven preprocessing. In Proceedings of the ECML/PKDD Workshop on Database Support for KDD
12. Lu H, Sung SY, and Lu Y 1996 On preprocessing data for effective classification. In Proceedings of the ACM SIGMOD'96 Workshop on Research Issues on Data Mining and Knowledge Discovery, Montreal, Canada: 71-7
13. Mark D M and Csillag F 1989 The nature of boundaries on 'area-class' maps. Cartographica 26: 65-78
14. Miller H J and Han J 2001 Geographic data mining and knowledge discovery: An overview. In Miller H J and Han J (eds) Geographic Data Mining and Knowledge Discovery. New York, Taylor and Francis: 3-32
15. Moran C J and Bui E N 2002 Spatial data mining for enhanced soil map modeling. International Journal of Geographical Information Science 16: 533-49
16. Pyle D 1999 Data Preparation for Data Mining. San Francisco, CA, Morgan Kaufmann
17. Qi F and Zhu A X 2003 Knowledge discovery from soil maps using inductive learning. International Journal of Geographical Information Science 17: 771-95
18. Quinlan J R 2001 See5: An Informal Tutorial. WWW document, http://www.rulequest.com
19. Rossiter D G 2000 Methodology for Soil Resource Inventories. WWW document, http://www.itc.nl/~rossiter/reach/ssm/SSM_Lecture Notes2.pdf
20. Skidmore A 2002 Environmental Modeling with GIS and Remote Sensing, London, Taylor and Francis