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» Spatial Data Mining: A Database Approach
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DAGM
1999
Springer
15 years 4 months ago
Knowledge Discovery in Spatial Databases
Both, the number and the size of spatial databases, such as geographic or medical databases, are rapidly growing because of the large amount of data obtained from satellite images,...
Martin Ester, Hans-Peter Kriegel, Jörg Sander
IEAAIE
2009
Springer
15 years 7 months ago
An Efficient Algorithm for Maintaining Frequent Closed Itemsets over Data Stream
Data mining refers to the process of revealing unknown and potentially useful information from a large database. Frequent itemsets mining is one of the foundational problems in dat...
Show-Jane Yen, Yue-Shi Lee, Cheng-Wei Wu, Chin-Lin...
112
Voted
EDBT
2002
ACM
157views Database» more  EDBT 2002»
16 years 20 days ago
Profit Mining: From Patterns to Actions
Abstract. A major obstacle in data mining applications is the gap between the statistic-based pattern extraction and the value-based decision making. We present a profit mining app...
Ke Wang, Senqiang Zhou, Jiawei Han
ICDM
2010
IEEE
130views Data Mining» more  ICDM 2010»
14 years 10 months ago
Using Taxonomies to Perform Aggregated Querying over Imprecise Data
-- In this paper, we put forward our approach for answering aggregated queries over imprecise data using domain specific taxonomies. A new concept we call the weighted hierarchical...
Atanu Roy, Chandrima Sarkar, Rafal A. Angryk
KDD
2006
ACM
198views Data Mining» more  KDD 2006»
16 years 29 days ago
CFI-Stream: mining closed frequent itemsets in data streams
Mining frequent closed itemsets provides complete and condensed information for non-redundant association rules generation. Extensive studies have been done on mining frequent clo...
Nan Jiang, Le Gruenwald