English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Iterative Subgraph Mining for Principal Component Analysis

Saigo, H., & Tsuda, K. (2008). Iterative Subgraph Mining for Principal Component Analysis. In F. Giannotti, D. Gunopulos, F. Turini, C. Zaniolo, N. Ramakrishnan, & X. Wu (Eds.), 2008 Eighth IEEE International Conference on Data Mining (pp. 1007-1012). Piscataway, NJ, USA: IEEE.

Item is

Files

show Files

Locators

show
hide
Description:
-

Creators

show
hide
 Creators:
Saigo, H, Author              
Tsuda, K1, 2, Author              
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

Content

show
hide
Free keywords: -
 Abstract: Graph mining methods enumerate frequent subgraphs efficiently, but they are not necessarily good features for machine learning due to high correlation among features. Thus it makes sense to perform principal component analysis to reduce the dimensionality and create decorrelated features. We present a novel iterative mining algorithm that captures informative patterns corresponding to major entries of top principal components. It repeatedly calls weighted substructure mining where example weights are updated in each iteration. The Lanczos algorithm, a standard algorithm of eigendecomposition, is employed to update the weights. In experiments, our patterns are shown to approximate the principal components obtained by frequent mining.

Details

show
hide
Language(s):
 Dates: 2008-12
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1109/ICDM.2008.62
BibTex Citekey: 5514
 Degree: -

Event

show
hide
Title: Eighth IEEE International Conference on Data Mining (ICDM 2008)
Place of Event: Pisa, Italy
Start-/End Date: 2008-12-16 - 2008-12-19

Legal Case

show

Project information

show

Source 1

show
hide
Title: 2008 Eighth IEEE International Conference on Data Mining
Source Genre: Proceedings
 Creator(s):
Giannotti, F, Editor
Gunopulos, D, Editor
Turini, F, Editor
Zaniolo, C, Editor
Ramakrishnan, N, Editor
Wu, X, Editor
Affiliations:
-
Publ. Info: Piscataway, NJ, USA : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1007 - 1012 Identifier: ISBN: 978-0-7695-3502-9