Communications of the Korean Institute of Information Scientists and Engineers (정보과학회지)

Korean Institute of Information Scientists and Engineers (한국정보과학회)
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대용량 텐서 마이닝: 알고리즘과 응용

  • Published : 2014.07.15
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Abstract

Keywords

References

  1. Tamara G. Kolda, Brett W. Bader, and Joseph P. Kenny. Higher-Order Web Link Analysis Using Multilinear Algebra. ICDM 2005: 242-249.
  2. Peter A. Chew, Brett W. Bader, Tamara G. Kolda, and Ahmed Abdelali. Cross-language information retrieval using PARAFAC2. KDD 2007: 143-152.
  3. Brett W. Bader, Richard A. Harshman, and Tamara G. Kolda. Temporal analysis of social networks using three-way dedicom. Sandia National Laboratories TR SAND2006-2161, 2006.
  4. Jimeng Sun, Dacheng Tao, and Christos Faloutsos. Beyond streams and graphs: dynamic tensor analysis. KDD 2006: 374-383 .
  5. Evrim Acar, Canan Aykut-Bingol, Haluk Bingol, Rasmus Bro, and Bulent Yener. Multiway analysis of epilepsy tensors. ISMB/ECCB (Supplement of Bioinformatics) 2007: 10-18.
  6. Tamara G. Kolda and Brett W. Bader. Tensor Decompositions and Applications. SIAM Review Vol. 51, No.3, pp. 455-500, 2009. https://doi.org/10.1137/07070111X
  7. J. Douglas Carroll, and Jih-Jie Chang. Analysis of individual differences in multidimensional scaling via an n-way generalization of "Eckart-Young" decomposition. Psychometrika. Vol. 35, No.3, pp. 283-319, 1970. https://doi.org/10.1007/BF02310791
  8. R. A. Harshman. Foundations of the PARAFAC procedure: Models and conditions for an "explanatory" multi-modal factor analysis. UCLA Working Papers in Phonetics, Vol. 16, No. 1, pp. 1-84, 1970.
  9. L. R. Tucker. Some mathematical notes on three-mode factor analysis. Psychometrika. Vol. 31, No.3, pp. 279-311, 1966. https://doi.org/10.1007/BF02289464
  10. B. W. Bader and T. G. Kolda. Efficient MATLAB Computations with Sparse and Factored Tensors. SIAM Journal on Scientific Computing Vol. 30, No.1 pp. 205-231, 2007.
  11. U Kang, Evangelos Papalexakis, Abhay Harpale, and Christos Faloutsos. GigaTensor: Scaling Tensor Analysis Up By 100 Times-Algorithms and Discoveries. KDD 2012: 316-324.
  12. Evangelos E. Papalexakis, U Kang, Christos Faloutsos, Nicholas D. Sidiropoulos, and Abhay Harpale. Large Scale Tensor Decompositions: Algorithmic Developments and Applications. IEEE Data Engineering Bulletin, Vol. 36, No. 3, pp. 59-66, 2013.