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» Mining Very Large Databases
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KDD
2006
ACM
122views Data Mining» more  KDD 2006»
16 years 3 months ago
Measuring and extracting proximity in networks
Measuring distance or some other form of proximity between objects is a standard data mining tool. Connection subgraphs were recently proposed as a way to demonstrate proximity be...
Yehuda Koren, Stephen C. North, Chris Volinsky
EDBT
2006
ACM
150views Database» more  EDBT 2006»
16 years 3 months ago
On Futuristic Query Processing in Data Streams
Recent advances in hardware technology have resulted in the ability to collect and process large amounts of data. In many cases, the collection of the data is a continuous process ...
Charu C. Aggarwal
FUIN
2000
109views more  FUIN 2000»
15 years 3 months ago
Building Knowledge Scouts Using KGL Metalanguage
Knowledge scouts are software agents that autonomously search for and synthesize user-oriented knowledge (target knowledge) in large local or distributed databases. A knowledge ge...
Ryszard S. Michalski, Kenneth A. Kaufman
RCIS
2010
15 years 1 months ago
A Tree-based Approach for Efficiently Mining Approximate Frequent Itemsets
—The strategies for mining frequent itemsets, which is the essential part of discovering association rules, have been widely studied over the last decade. In real-world datasets,...
Jia-Ling Koh, Yi-Lang Tu
VLDB
1992
ACM
100views Database» more  VLDB 1992»
15 years 7 months ago
Principles of Transaction-Based On-Line Reorganization
For very large databases such as those used by banks and airlines, cost considerations may forbid shutting down the service for a long period of time and reorganizing off-line. Si...
Betty Salzberg, Allyn Dimock