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DEXAW
2009
IEEE
173views Database» more  DEXAW 2009»
15 years 10 months ago
Automatic Cluster Number Selection Using a Split and Merge K-Means Approach
Abstract—The k-means method is a simple and fast clustering technique that exhibits the problem of specifying the optimal number of clusters preliminarily. We address the problem...
Markus Muhr, Michael Granitzer
SIGIR
2012
ACM
13 years 6 months ago
Optimizing positional index structures for versioned document collections
Versioned document collections are collections that contain multiple versions of each document. Important examples are Web archives, Wikipedia and other wikis, or source code and ...
Jinru He, Torsten Suel
CIKM
2010
Springer
15 years 2 months ago
SHRINK: a structural clustering algorithm for detecting hierarchical communities in networks
Community detection is an important task for mining the structure and function of complex networks. Generally, there are several different kinds of nodes in a network which are c...
Jianbin Huang, Heli Sun, Jiawei Han, Hongbo Deng, ...
WISTP
2007
Springer
15 years 10 months ago
A Smart Card Based Distributed Identity Management Infrastructure for Mobile Ad Hoc Networks
The network is becoming more and more versatile because of the variety of the computing resources and the communication technologies that have become available. The mobility of the...
Eve Atallah, Serge Chaumette
VALUETOOLS
2006
ACM
164views Hardware» more  VALUETOOLS 2006»
15 years 10 months ago
Analysis of Markov reward models using zero-suppressed multi-terminal BDDs
High-level stochastic description methods such as stochastic Petri nets, stochastic UML statecharts etc., together with specifications of performance variables (PVs), enable a co...
Kai Lampka, Markus Siegle