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207
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KDD
2000
ACM
15 years 10 months ago
2000
ACM
The traditional association rule mining framework produces many redundant rules. The extent of redundancy is a lot larger than previously suspected. We present a new framework for...
168
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MLG
2007
Springer
16 years 24 days ago
2007
Springer
While recent algorithms for mining the frequent subgraphs of a database are efficient in the general case, these algorithms tend to do poorly on databases that have a few or no la...
167
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CIB
2004
15 years 6 months ago
2004
In multi-database mining, there can be many local patterns (frequent itemsets or association rules) in each database. At the end of multi-database mining, it is necessary to analyz...
213
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KDD
2012
ACM
13 years 9 months ago
2012
ACM
Given huge collections of time-evolving events such as web-click logs, which consist of multiple attributes (e.g., URL, userID, timestamp), how do we find patterns and trends? Ho...
178
Voted
DEXA
2001
Springer
15 years 11 months ago
2001
Springer
Image mining systems that can automatically extract semantically meaningful information (knowledge) from image data are increasingly in demand. The fundamental challenge in image m...