Mining spatial co-location patterns with dynamic neighborhood constraint

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5782 LNAI, Issue PART 2, 2009, Pages 238-253

  Qian, Feng ^a   He, Qinming ^a   He, Jiangfeng ^a  

^a ZHEJIANG UNIVERSITY   (China)

Author keywords

Spatial co location patterns; Spatial data mining; Spatial neighborhood constraint

Indexed keywords

CO-LOCATION PATTERNS; DATA SETS; DYNAMIC NEIGHBORHOOD; EXPERIMENTAL EVALUATION; GREEDY ALGORITHMS; MAKING DECISION; MINING TASKS; OPTIMIZATION PROBLEMS; REAL WORLD DATA; SPATIAL CO-LOCATION PATTERNS; SPATIAL DATA MINING; SPATIAL NEIGHBORHOOD CONSTRAINT;

CONSTRAINED OPTIMIZATION; FLIGHT DYNAMICS; ROBOT LEARNING; SET THEORY;

MINING;

EID: 70349950672     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04174-7_16     Document Type: Conference Paper

References (16)

1. Huang, Y., Shekhar, S., Xiong, H.: Discovering colocation patterns from spatial datasets: A general approach. IEEE Transactions on Knowledge and Data Engineering 16(12), 1472-1485 (2004)
2. Yoo, J., Shekhar, S.: A Joinless Approach for Mining Spatial Colocation Patterns. IEEE Transactions on Knowledge and Data Engineering 18(10), 1323-1337 (2006)
3. Yoo, J., Shekhar, S., Smith, J., Kumquat, J.: A partial join approach for mining colocation patterns. In: Proceedings of the 12th annual ACM international workshop on geographic information systems, pp. 241-249 (2004)
4. Xiao, X., Xie, X., Luo, Q., Ma, W.: Density based co-location pattern discovery. In: Proceedings of the 16th ACM SIGSPATIAL international conference on advances in geographic information systems (2008)
5. Munro, R., Chawla, S., Sun, P.: Complex spatial relationships. In: Proceedings of the 3th IEEE international conference on data mining, pp. 227-234 (2003)
6. Verhein, F., Al-Naymat, G.: Fast Mining of Complex Spatial Co-location Patterns Using GLIMIT. In: Proceedings of the 7th international conference on data mining workshop on spatial and spatio-temporal data mining, pp. 679-684 (2007)
7. Huang, Y., Pei, J., Xiong, H.: Mining Co-Location Patterns with Rare Events from Spatial Data Sets. GeoInformatica 10(3), 239-260 (2006)
8. Huang, Y., Zhang, P., Zhang, C.: On the Relationships between Clustering and Spatial Co-location Pattern Mining. International Journal on Arti.cial Intelligence Tools 17(1), 55 (2008)
9. Soung, X.: A framework for discovering co-location patterns in data sets with extended spatial objects. In: Proceedings of the 4th SIAM international conference on data mining, p. 78 (2004)
10. Salmenkivi, M.: Evaluating attraction in spatial point patterns with an application in the .eld of cultural history. In: Proceedings of the 4th IEEE international conference on data mining, pp. 511-514 (2004)
11. Sheng, C., Hsu, W., Li Lee, M., Tung, A.: Discovering Spatial Interaction Patterns. In: Haritsa, J.R., Kotagiri, R., Pudi, V. (eds.) DASFAA 2008. LNCS, vol.4947, pp. 95-109. Springer, Heidelberg (2008)
12. Bureau of Transportation Statistics, http://www.bts.gov/
13. Tobler, W.: Cellular geography. Philosophy in geography, pp. 379-386 (1979)
14. Agrawal, R., Srikant, R.: Fast algorithms for mining association rules. In: Proceedings of the 20th international conference on very large data bases, vol.1215, pp. 487-499 (1994)
15. Leskovec, J., Krause, A., Guestrin, C., Faloutsos, C., VanBriesen, J., Glance, N.: Cost-effective outbreak detection in networks. In: Proceedings of the 13th ACM SIGKDD international conference on knowledge discovery and data mining, pp. 420-429 (2007)
16. Arge, L., Procopiuc, O., Ramaswamy, S., Suel, T., Vitter, J.: Scalable sweepingbased spatial join. In: Proceedings of the 24th international conference on very large data bases, pp. 570-581 (1998)