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» Mining spatial association rules in image databases
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CIKM
2004
Springer
15 years 5 months ago
Discovering frequently changing structures from historical structural deltas of unordered XML
Recently, a large amount of work has been done in XML data mining. However, we observed that most of the existing works focus on the snapshot XML data, while XML data is dynamic i...
Qiankun Zhao, Sourav S. Bhowmick, Mukesh K. Mohani...
SSDBM
2003
IEEE
118views Database» more  SSDBM 2003»
15 years 5 months ago
A Practical Approach for Microscopy Imaging Data Management (MIDM) in Neuroscience
Current data management approaches can easily handle the relatively simple requirements for molecular biology research but not the more varied and sophisticated microscopy imaging...
Shenglan Zhang, Xufei Qian, Amarnath Gupta, Maryan...
APWEB
2005
Springer
15 years 5 months ago
A Fast Algorithm for Mining Share-Frequent Itemsets
Itemset share has been proposed as a measure of the importance of itemsets for mining association rules. The value of the itemset share can provide useful information such as total...
Yu-Chiang Li, Jieh-Shan Yeh, Chin-Chen Chang
ADC
2003
Springer
182views Database» more  ADC 2003»
15 years 5 months ago
CT-ITL : Efficient Frequent Item Set Mining Using a Compressed Prefix Tree with Pattern Growth
Discovering association rules that identify relationships among sets of items is an important problem in data mining. Finding frequent item sets is computationally the most expens...
Yudho Giri Sucahyo, Raj P. Gopalan
138
Voted
SSD
2001
Springer
218views Database» more  SSD 2001»
15 years 4 months ago
Efficient Mining of Spatiotemporal Patterns
The problem of mining spatiotemporal patterns is finding sequences of events that occur frequently in spatiotemporal datasets. Spatiotemporal datasets store the evolution of object...
Ilias Tsoukatos, Dimitrios Gunopulos