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IS
2007
13 years 8 months ago
Mining association rules in very large clustered domains
Emerging applications introduce the requirement for novel association-rule mining algorithms that will be scalable not only with respect to the number of records (number of rows) ...
Alexandros Nanopoulos, Apostolos N. Papadopoulos, ...
PAKDD
2009
ACM
123views Data Mining» more  PAKDD 2009»
14 years 17 days ago
Clustering with Lower Bound on Similarity
We propose a new method, called SimClus, for clustering with lower bound on similarity. Instead of accepting k the number of clusters to find, the alternative similarity-based app...
Mohammad Al Hasan, Saeed Salem, Benjarath Pupacdi,...
PKDD
2010
Springer
124views Data Mining» more  PKDD 2010»
13 years 6 months ago
Summarising Data by Clustering Items
Abstract. For a book, the title and abstract provide a good first impression of what to expect from it. For a database, getting a first impression is not so straightforward. Whil...
Michael Mampaey, Jilles Vreeken
FC
2006
Springer
145views Cryptology» more  FC 2006»
13 years 11 months ago
Efficient Correlated Action Selection
Abstract. Participants in e-commerce and other forms of online collaborations tend to be selfish and rational, and therefore game theory has been recognized as particularly relevan...
Mikhail J. Atallah, Marina Blanton, Keith B. Frikk...
JCP
2006
92views more  JCP 2006»
13 years 8 months ago
A Novel Pulse Echo Correlation Tool for Transmission Path Testing and Fault Diagnosis
Abstract-- In this paper a novel pulse sequence testing methodology is presented [22] as an alternative to Time Domain Reflectometry (TDR) for transmission line health condition mo...
David M. Horan, Richard A. Guinee