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» A general model for clustering binary data
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NIPS
2004
13 years 9 months ago
Co-Validation: Using Model Disagreement on Unlabeled Data to Validate Classification Algorithms
In the context of binary classification, we define disagreement as a measure of how often two independently-trained models differ in their classification of unlabeled data. We exp...
Omid Madani, David M. Pennock, Gary William Flake
WWW
2010
ACM
14 years 2 months ago
Modeling relationship strength in online social networks
Previous work analyzing social networks has mainly focused on binary friendship relations. However, in online social networks the low cost of link formation can lead to networks w...
Rongjing Xiang, Jennifer Neville, Monica Rogati
KDD
2007
ACM
159views Data Mining» more  KDD 2007»
14 years 8 months ago
Constraint-driven clustering
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
Rong Ge, Martin Ester, Wen Jin, Ian Davidson
ICFEM
2010
Springer
13 years 6 months ago
Making the Right Cut in Model Checking Data-Intensive Timed Systems
Abstract. The success of industrial-scale model checkers such as Uppaal [3] or NuSMV [12] relies on the efficiency of their respective symbolic state space representations. While d...
Rüdiger Ehlers, Michael Gerke 0002, Hans-J&ou...
IJCNN
2006
IEEE
14 years 1 months ago
A Self-Organising Map Approach for Clustering of XML Documents
— The number of XML documents produced and available on the Internet is steadily increasing. It is thus important to devise automatic procedures to extract useful information fro...
Francesca Trentini, Markus Hagenbuchner, Alessandr...