Discovering spatial interaction patterns

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

Volumn 4947 LNCS, Issue , 2008, Pages 95-109

  Sheng, Chang ^a   Hsu, Wynne ^a   Lee, Mong Li ^a   Tung, Anthony K H ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE EXTRACTION; FLOW INTERACTIONS; FUNCTIONS; KNOWLEDGE BASED SYSTEMS; MAPS;

ADVANCED APPLICATIONS; CHALLENGING TASK; CONTINUOUS SPACES; FEATURE TYPES; HEIDELBERG (CO); INFLUENCE FUNCTIONS (IF); INTERNATIONAL CONFERENCES; REAL-WORLD DATASETS; SATELLITE TECHNOLOGIES; SPATIAL DATA; SPATIAL FEATURES; SPATIAL INTERACTIONS;

DATABASE SYSTEMS;

EID: 47249119171     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-78568-2_10     Document Type: Conference Paper

References (11)

1. Gouda, K., Zaki, M.J.: Efficiently mining maximal frequent itemsets. In: ICDM, pp. 163-170 (2001)
2. Huang, Y., Shekhar, S., Xiong, H.: Discovering colocation patterns from spatial data sets: a general approach. IEEE Transactions on Knowledge and Data Engineering 16(12), 1472 (2004)
3. Koperski, K., Han, J.: Discovery of spatial association rules in geographic information databases. In: Egenhofer, M.J., Herring, J.R. (eds.) SSD 1995. LNCS, vol. 951, pp. 47-66. Springer, Heidelberg (1995)
4. Morimoto, Y.: Mining frequent neighboring class sets in spatial databases. In: ACM SIGKDD, pp. 353-358 (2001)
5. Ripley, B.D.: Spatial Statistics. Wiley, Chichester (1981)
6. Bayardo, J. R.J.: Efficiently mining long patterns from databases. In: SIGMOD 1998: Proceedings of the 1998 ACM SIGMOD international conference on Management of data, pp. 85-93. ACM Press, New York (1998)
7. Scott, D.W.: Multivariate Density Estimation: Theory, Practice, and Visualization. Wiley, Chichester (1992)
8. Sheng, C., Hsu, W., Lee, M.L.: Discovering spatial interaction patterns. Technique Report TRC6/07. National University of Singapore (June 2007)
9. Wang, J., Hsu, W., Lee, M.L.: A framework for mining topological patterns in spatio-temporal databases. In: ACM CIKM 2005, pp. 429-436. ACM Press, New York (2005)
10. Yoo, J.S., Shekhar, S., Celik, M.: A join-less approach for co-location pattern mining: A summary of results. In: ICDM, pp. 813-816 (2005)
11. Zhang, X., Mamoulis, N., Cheung, D.W., Shou, Y.: Fast mining of spatial collocations. In: ACM SIGKDD 2004, pp. 384-393. ACM Press, New York (2004)