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DMKD
1997
ACM
198views Data Mining» more  DMKD 1997»
15 years 10 months ago
Clustering Based On Association Rule Hypergraphs
Clustering in data mining is a discovery process that groups a set of data such that the intracluster similarity is maximized and the intercluster similarity is minimized. These d...
Eui-Hong Han, George Karypis, Vipin Kumar, Bamshad...
KDD
2000
ACM
101views Data Mining» more  KDD 2000»
15 years 10 months ago
Incremental quantile estimation for massive tracking
Data--call records, internet packet headers, or other transaction records--are coming down a pipe at a ferocious rate, and we need to monitor statistics of the data. There is no r...
Fei Chen, Diane Lambert, José C. Pinheiro
GECCO
2007
Springer
172views Optimization» more  GECCO 2007»
16 years 24 days ago
Improving the human readability of features constructed by genetic programming
The use of machine learning techniques to automatically analyse data for information is becoming increasingly widespread. In this paper we examine the use of Genetic Programming a...
Matthew Smith, Larry Bull
PAM
2012
Springer
14 years 2 months ago
A Sequence-Oriented Stream Warehouse Paradigm for Network Monitoring Applications
Network administrators are faced with the increasingly challenging task of monitoring their network’s health in real time, drawing upon diverse and voluminous measurement data fe...
Lukasz Golab, Theodore Johnson, Subhabrata Sen, Je...
FLAIRS
2001
15 years 8 months ago
Detection of Inconsistencies in Complex Product Configuration Data Using Extended Propositional SAT-Checking
We present our consistency support tool BIS, an extension to the electronic product data management system (EPDMS) used at DaimlerChrysler AG to configure the Mercedes lines of pa...
Carsten Sinz, Andreas Kaiser, Wolfgang Küchli...