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» Mining association rules from imprecise ordinal data
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IEAAIE
2005
Springer
15 years 3 months ago
Analyzing Multi-level Spatial Association Rules Through a Graph-Based Visualization
Association rules discovery is a fundamental task in spatial data mining where data are naturally described at multiple levels of granularity. ARES is a spatial data mining system ...
Annalisa Appice, Paolo Buono
99
Voted
ESWA
2006
139views more  ESWA 2006»
14 years 9 months ago
An efficient data mining approach for discovering interesting knowledge from customer transactions
Mining association rules and mining sequential patterns both are to discover customer purchasing behaviors from a transaction database, such that the quality of business decision ...
Show-Jane Yen, Yue-Shi Lee
SIGMOD
2006
ACM
148views Database» more  SIGMOD 2006»
15 years 9 months ago
Research issues in data stream association rule mining
There exist emerging applications of data streams that require association rule mining, such as network traffic monitoring and web click streams analysis. Different from data in t...
Nan Jiang, Le Gruenwald
INCDM
2009
Springer
145views Data Mining» more  INCDM 2009»
15 years 4 months ago
Application of Classification Association Rule Mining for Mammalian Mesenchymal Stem Cell Differentiation
In this paper, data mining is used to analyze the differentiation of mammalian Mesenchymal Stem Cells (MSCs). A database comprising the key parameters which, we believe, influence ...
Weiqi Wang, Yanbo J. Wang, René Baña...
ICDM
2009
IEEE
124views Data Mining» more  ICDM 2009»
15 years 4 months ago
On the (In)Security and (Im)Practicality of Outsourcing Precise Association Rule Mining
—The recent interest in outsourcing IT services onto the cloud raises two main concerns: security and cost. One task that could be outsourced is data mining. In VLDB 2007, Wong e...
Ian Molloy, Ninghui Li, Tiancheng Li