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SSD
1995
Springer
146views Database» more  SSD 1995»
13 years 11 months ago
Discovery of Spatial Association Rules in Geographic Information Databases
Spatial data mining, i.e., discovery of interesting, implicit knowledge in spatial databases, is an important task for understanding and use of spatial data- and knowledge-bases. I...
Krzysztof Koperski, Jiawei Han
DAWAK
1999
Springer
13 years 11 months ago
Mining Interval Time Series
Data mining can be used to extensively automate the data analysis process. Techniques for mining interval time series, however, have not been considered. Such time series are commo...
Roy Villafane, Kien A. Hua, Duc A. Tran, Basab Mau...
CIKM
2006
Springer
13 years 11 months ago
Measuring the meaning in time series clustering of text search queries
We use a combination of proven methods from time series analysis and machine learning to explore the relationship between temporal and semantic similarity in web query logs; we di...
Bing Liu 0003, Rosie Jones, Kristina Lisa Klinkner
NIPS
2008
13 years 9 months ago
Integrating Locally Learned Causal Structures with Overlapping Variables
In many domains, data are distributed among datasets that share only some variables; other recorded variables may occur in only one dataset. While there are asymptotically correct...
Robert E. Tillman, David Danks, Clark Glymour
JCDL
2009
ACM
121views Education» more  JCDL 2009»
14 years 2 months ago
Improving historical research by linking digital library information to a global genealogical database
Journals, letters, and other writings are of great value to historians and those who research their own family history; however, it can be difficult to find writings by specific...
Douglas J. Kennard, William B. Lund, Bryan S. Mors...