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» A Framework for Data Mining Pattern Management
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PKDD
2005
Springer
129views Data Mining» more  PKDD 2005»
14 years 2 months ago
Interestingness is Not a Dichotomy: Introducing Softness in Constrained Pattern Mining
Abstract. The paradigm of pattern discovery based on constraints was introduced with the aim of providing to the user a tool to drive the discovery process towards potentially inte...
Stefano Bistarelli, Francesco Bonchi
EMS
2008
IEEE
14 years 3 months ago
A Weighted Utility Framework for Mining Association Rules
Association rule mining (ARM) identifies frequent itemsets from databases and generates association rules by assuming that all items have the same significance and frequency of oc...
M. Sulaiman Khan, Maybin K. Muyeba, Frans Coenen
VLDB
2006
ACM
190views Database» more  VLDB 2006»
14 years 9 months ago
Online summarization of dynamic time series data
Managing large-scale time series databases has attracted significant attention in the database community recently. Related fundamental problems such as dimensionality reduction, tr...
Ümit Y. Ogras, Hakan Ferhatosmanoglu
DAWAK
2001
Springer
14 years 1 months ago
Towards a Novel OLAP Interface for Distributed Data Warehouses
We present a framework for visualizing remote distributed data sources using a multi-user immersive virtual reality environment. DIVE-ON is a system prototype that consolidates dis...
Ayman Ammoura, Osmar R. Zaïane, Randy Goebel
KDD
2002
ACM
106views Data Mining» more  KDD 2002»
14 years 9 months ago
Selecting the right interestingness measure for association patterns
Many techniques for association rule mining and feature selection require a suitable metric to capture the dependencies among variables in a data set. For example, metrics such as...
Pang-Ning Tan, Vipin Kumar, Jaideep Srivastava