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» Mining Multiple Large Databases
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VLDB
2005
ACM
79views Database» more  VLDB 2005»
14 years 1 months ago
General Purpose Database Summarization
In this paper, a message-oriented architecture for large database summarization is presented. The summarization system takes a database table as input and produces a reduced versi...
Régis Saint-Paul, Guillaume Raschia, Noured...
SDM
2009
SIAM
114views Data Mining» more  SDM 2009»
14 years 5 months ago
Top-k Correlative Graph Mining.
Correlation mining has been widely studied due to its ability for discovering the underlying occurrence dependency between objects. However, correlation mining in graph databases ...
Yiping Ke, James Cheng, Jeffrey Xu Yu
KDD
1997
ACM
135views Data Mining» more  KDD 1997»
13 years 12 months ago
Brute-Force Mining of High-Confidence Classification Rules
This paper investigates a brute-force technique for mining classification rules from large data sets. We employ an association rule miner enhanced with new pruning strategies to c...
Roberto J. Bayardo Jr.
CMG
2001
13 years 9 months ago
Effective Use of the KDD Process and Data Mining for Computer Performance Professionals
- The KDD (Knowledge Discovery in Databases) paradigm is a step by step process for finding interesting patterns in large amounts of data. Data mining is one step in the process. T...
Susan P. Imberman
TKDE
2008
139views more  TKDE 2008»
13 years 7 months ago
Mining Weighted Association Rules without Preassigned Weights
Association rule mining is a key issue in data mining. However, the classical models ignore the difference between the transactions, and the weighted association rule mining does n...
Ke Sun, Fengshan Bai