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ACSAC
2001
IEEE
14 years 2 days ago
Mining Alarm Clusters to Improve Alarm Handling Efficiency
It is a well-known problem that intrusion detection systems overload their human operators by triggering thousands of alarms per day. As a matter of fact, we have been asked by on...
Klaus Julisch
KDD
1999
ACM
237views Data Mining» more  KDD 1999»
14 years 21 days ago
Using Association Rules for Product Assortment Decisions: A Case Study
It has been claimed that the discovery of association rules is well-suited for applications of market basket analysis to reveal regularities in the purchase behaviour of customers...
Tom Brijs, Gilbert Swinnen, Koen Vanhoof, Geert We...
KDD
2008
ACM
138views Data Mining» more  KDD 2008»
14 years 8 months ago
A visual-analytic toolkit for dynamic interaction graphs
In this article we describe a visual-analytic tool for the interrogation of evolving interaction network data such as those found in social, bibliometric, WWW and biological appli...
Xintian Yang, Sitaram Asur, Srinivasan Parthasarat...
WSDM
2010
ACM
266views Data Mining» more  WSDM 2010»
14 years 5 months ago
Gathering and Ranking Photos of Named Entities with High Precision, High Recall, and Diversity
Knowledge-sharing communities like Wikipedia and automated extraction methods like those of DBpedia enable the construction of large machine-processible knowledge bases with relat...
Bilyana Taneva, Mouna Kacimi, Gerhard Weikum

Publication
137views
15 years 6 months ago
Optimal Flooding Protocol for Routing in Ad-Hoc Networks
Location discovery is a fundamental problem in wireless ad hoc networks. Most of the ad hoc routing protocols use some form of flooding to discover the location and route of a mobi...
Vamsi K. Parachuri, Arjan Durresi, Durga S. Dash, ...