Mining high influence co-location patterns from instances with attributes

Author:

Fang DianwuORCID,Wang LizhenORCID,Yang Peizhong,Chen Lan

Funder

National Natural Science Foundation of China

INNOVATION RESEARCH TEAM OF YUNNAN PROVINCE

Yunnan Universit

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Vision and Pattern Recognition,Mathematics (miscellaneous)

Reference36 articles.

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2. Shekhar S, Huang Y (2001) Discovering spatial co-location patterns: a summary of results. In: Proceedings of the 7th international symposium on advances in spatial and temporal database (SSTD). Springer, Berlin, pp 236–240

3. Huang Y, Shekhar S, Xiong H (2004) Discovering colocation patterns from spatial data sets: a general approach. IEEE Trans Knowl Data Eng (TKDE) 16(12):1472–1485

4. Yoo JS, Shekhar S (2004) A partial join approach for mining co-location patterns. In: Proceedings of the 12th annual ACM international workshop on geographic information systems. ACM Press, pp 241–249

5. Yoo JS, Shekhar S, Celik M (2005) A join-less approach for co-location pattern mining: a summary of result. In: Proceedings of the 5th IEEE international conference on data mining (ICDM). IEEE Press, pp 813–816

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