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KDD
2006
ACM
143views Data Mining» more  KDD 2006»
16 years 6 months ago
Algorithms for discovering bucket orders from data
Ordering and ranking items of different types are important tasks in various applications, such as query processing and scientific data mining. A total order for the items can be ...
Aristides Gionis, Heikki Mannila, Kai Puolamä...
KDD
2006
ACM
167views Data Mining» more  KDD 2006»
16 years 6 months ago
Clustering pair-wise dissimilarity data into partially ordered sets
Ontologies represent data relationships as hierarchies of possibly overlapping classes. Ontologies are closely related to clustering hierarchies, and in this article we explore th...
Jinze Liu, Qi Zhang, Wei Wang 0010, Leonard McMill...
KDD
2004
ACM
113views Data Mining» more  KDD 2004»
16 years 6 months ago
Learning spatially variant dissimilarity (SVaD) measures
Clustering algorithms typically operate on a feature vector representation of the data and find clusters that are compact with respect to an assumed (dis)similarity measure betwee...
Krishna Kummamuru, Raghu Krishnapuram, Rakesh Agra...
CHI
2002
ACM
16 years 6 months ago
Statistical profiles of highly-rated web sites
We are creating an interactive tool to help non-professional web site builders create high quality designs. We have previously reported that quantitative measures of web page stru...
Melody Y. Ivory, Marti A. Hearst
POPL
2008
ACM
16 years 6 months ago
Lightweight semiformal time complexity analysis for purely functional data structures
Okasaki and others have demonstrated how purely functional data structures that are efficient even in the presence of persistence can be constructed. To achieve good time bounds e...
Nils Anders Danielsson