A Survey: On Spatial Data Mining
Citation
Asmita Bist, Mainaz Faridi "A Survey: On Spatial Data Mining", International Journal of Engineering Trends and Technology (IJETT), V46(6),327-333 April 2017. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Abstract
The extraction of spatial patterns and
characteristics, spatial and non spatial data
relationships, and other data features hidden in the
spatial database is spatial data mining. The necessity
of advance methods for extraction of knowledge from
spatial datasets has proved the need in rise of
geographic knowledge discovery and spatial data
mining as a dynamic research area. There is a dire
requirement for productive and powerful techniques
and methodology for mining valuable knowledge from
spatial datasets of high dimension and unpredictable
size. The paper highlights recent work in knowledge
discovery and spatial data mining. We evaluated
several literatures in characteristics of spatial data,
common techniques in spatial data mining, techniques
involved in spatial data mining and spatial
association rule mining .The survey conclude with
various outlooks on the significant work done in
spatial data mining and recent research work in
spatial association rule mining.
References
[1] Lu W. Han J.et al. Discovery of general knowledge in large
spatial databases, In Proc.Far East Workshop on Geographic
Information Systems.Singapore, 1993, 275-289
[2] Han Jiawei, Kamber M. Concept and Technology of Data
Mining. Fan Ming, Meng Xiaofeng, etc. Translate.Beijing:China
MachinePress,2001.
[3] N. Sumathi, R. Geetha and Dr. S. Sathiya Bama,”Spatial Data
Mining Techniques Trends and its Applications”, Journal of
Computer Applications, Vol.1, No.4, Oct-Dec2008.
[4]Raymond T. Ng and Jiawei Han," Clarans: A Method For
Clustering Objects For Spatial Data Mining", IEEE Transactions
On Knowledge And Data Engineering, Vol.14, No.5, Sep-Oct 2002.
[5] R. Agrawal and R. Srikant, Fast algorithms for mining
association rules. In: Proceeding of the 20th Very Large DataBases
conference, pp 487-499, 1994
[6]Deepti Sisodia,Lokesh Singh,Sheetal Sisodia and khushboo
Saxena."Clustering Techniques: A Brief Survey of Different
Clustering Algorithms",International Journal of Latest Trends in
Engineering and Technology (IJLTET),Vol.1 Issue 3 Sept 2012.
[7] Koperski K. Han J, et al. An efficient two-step method for
classification of spatial data.In:Proc.Int`1 Sympon Spatial Data
Handling SDH `98, Vancouver, BC.Canada, 1998.
[8] MILLER H J.HAN Jia-we.i Geographic data mining and
knowledge discovery [M].London: Taylor and Francis, 2001:3-32.
[9]Ester M, Kriegel H P, Sander J. Spatial Data Mining: A
Database Approach In: Scholl M V, ed. Proceedings of the
5thInternational Symposium on Spatial Databases (SSD.97).Berlin:
Springer-Verlag, 1997.
[10] D. Guo and J.Mennis," Spatial Data Mining and geographic
knowledge discovery - An introduction ", Computers, Environment
and Urban Systems 33, 2009.
[11] R. Agrawal, T. Imielinski, and A .Swami. Mining
Association Rules between Sets of Items in Large Databases. In
Proc. 1993 ACM-SIGMOD Int. Conf. Management of Data,
pp.207-216, Washington, D.C., May 1993.
[12] K. Koperski and J. Han. Discovery of Spatial Association
Rules in Geographic Information Databases. n Advances in Spatial
Databases, In Proceedings of 4th Symposium,SSD?95.(Aug.6-
9,Portland,Maine).Springer-Verlag,Berlin,1995,pp.47-66
[13] M. Ester, H-P. Kriegel, and X. Xu. Knowledge Discovery in
Large Spatial Databases: Focusing Techniques for Efficient Class
Identification .In Proc 4th Int. Symp. on Large Spatial Databases
(SSD?95),Portland, Maine, August 1995.
[14] R. Ng, and J. Han. Efficient and Effective Clustering Method
for Spatial Data Mining In Proc.1994 Int. Conf. VLDB, pp. 144-
155,Santiago , Chile, Sept. 1994
[15] GeoMiner: A System Prototype for Spatial Data Mining, Jiawei
Han, Krzysztof Koperski and Nebojsa Stefanovic, 1997
[16] Exploring Spatial Association Rule Mining for Geo Decision
Support System, Ranjana Vyas, Lokesh Kumar Sharma and U.S
Tiwary, Journal of Computer Science 3 (11): 882-886,2007 ISSN
1549-3636,2007 Science Publications.
[17] R.T. Ng and Y. Yu. Discovering Strong, Common and
Discriminating Characteristics of Clusters from Thematic Maps .
Proceedings of the 11th Annual Symposium on Geographic
Information Systems pp.392-394, 1997
[18]M.S. Chen J. Han, and P.S Yu. Data mining: An overview from
a database perspective. IEEE Transactions on knowledge and Data
Engineering,8: 866-883,1996
Keywords
Spatial Data Mining, Data Mining, Spatial
Database, Knowledge Discovery