Email surveillance using non-negative matrix factorization

DOI10.1007/s10588-005-5380-5zbMath1086.68502OpenAlexW2079196839WikidataQ29396828 ScholiaQ29396828MaRDI QIDQ812029

Murray Browne, Michael W. Berry

Publication date: 23 January 2006

Published in: Computational \& Mathematical Organization Theory (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10588-005-5380-5

zbMATH Keywords

surveillancenon-negative matrix factorizationconstrained least squareselectronic mailEnron collectiontopic detection

Mathematics Subject Classification ID

Network design and communication in computer systems (68M10)

Related Items (16)

TYPE II TOPP-LEONE INVERSE WEIBULL DISTRIBUTION WITH STATISTICAL PROPERTIES AND APPLICATIONS ⋮ Tensor SOM and tensor GTM: nonlinear tensor analysis by topographic mappings ⋮ Regularized nonnegative shared subspace learning ⋮ Nonnegative tensor factorizations using an alternating direction method ⋮ Applied harmonic analysis and data science. Abstracts from the workshop held November 28 -- December 4, 2021 (hybrid meeting) ⋮ Global convergence of modified multiplicative updates for nonnegative matrix factorization ⋮ Subtractive clustering for seeding non-negative matrix factorizations ⋮ LEARNING OVERLAPPING COMMUNITIES IN COMPLEX NETWORKS VIA NON-NEGATIVE MATRIX FACTORIZATION ⋮ PCA and SVD with nonnegative loadings ⋮ Parallel nonnegative matrix factorization algorithm on the distributed memory platform ⋮ A unified global convergence analysis of multiplicative update rules for nonnegative matrix factorization ⋮ Algorithms and applications for approximate nonnegative matrix factorization ⋮ Unnamed Item ⋮ Social network discovery by mining spatio-temporal events ⋮ Communication networks from the enron email corpus ``It's always about the people. Enron is no different ⋮ Graph theoretic and spectral analysis of Enron email data

Cites Work

• Structure in the Enron email dataset
• Sparse coding of natural contours
• Principal component analysis.
• Document clustering using nonnegative matrix factorization
• Matrices, Vector Spaces, and Information Retrieval
• Understanding Search Engines
• Learning the parts of objects by non-negative matrix factorization

This page was built for publication: Email surveillance using non-negative matrix factorization