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RECOMB
2009
Springer
16 years 7 months ago
Finding Biologically Accurate Clusterings in Hierarchical Tree Decompositions Using the Variation of Information
Abstract. Hierarchical clustering is a popular method for grouping together similar elements based on a distance measure between them. In many cases, annotation information for som...
Saket Navlakha, James Robert White, Niranjan Nagar...
CHI
2009
ACM
16 years 7 months ago
Auditory icon and earcon mobile service notifications: intuitiveness, learnability, memorability and preference
With an ever increasing number of mobile services, meaningful audio notifications could effectively inform users of the incoming services while minimising undesired and intrusive ...
Stavros Garzonis, Simon Jones, Tim Jay, Eamonn O'N...
KDD
2007
ACM
220views Data Mining» more  KDD 2007»
16 years 7 months ago
SCAN: a structural clustering algorithm for networks
Network clustering (or graph partitioning) is an important task for the discovery of underlying structures in networks. Many algorithms find clusters by maximizing the number of i...
Xiaowei Xu, Nurcan Yuruk, Zhidan Feng, Thomas A. J...
CHI
2008
ACM
16 years 7 months ago
Crowdsourcing user studies with Mechanical Turk
User studies are important for many aspects of the design process and involve techniques ranging from informal surveys to rigorous laboratory studies. However, the costs involved ...
Aniket Kittur, Ed H. Chi, Bongwon Suh
RECOMB
2003
Springer
16 years 7 months ago
Finding recurrent sources in sequences
Many genomic sequences and, more generally, (multivariate) time series display tremendous variability. However, often it is reasonable to assume that the sequence is actually gene...
Aristides Gionis, Heikki Mannila