A new implementation technique for fast Spectral based document retrieval systems

Laurence A.F. Park, Marimuthu Palaniswami, Kotagiri Ramamohanarao

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

6 Citations (Scopus)

Abstract

The traditional methods of spectral text retrieval (FDS,CDS) create an index of spatial data and convert the data to its spectral form at query time. We present a new method of implementing and querying an index containing spectral data which will conserve the high precision performance of the spectral methods, reduce the time needed to resolve the query, and maintain an acceptable size for the index. This is done by taking advantage of the properties of the discrete cosine transform and by applying ideas from vector space document ranking methods.

Original languageEnglish
Title of host publicationProceedings - 2002 IEEE International Conference on Data Mining, ICDM 2002
Pages346-353
Number of pages8
Publication statusPublished - 2002
Externally publishedYes
Event2nd IEEE International Conference on Data Mining, ICDM '02 - Maebashi, Japan
Duration: 9 Dec 200212 Dec 2002

Publication series

NameProceedings - IEEE International Conference on Data Mining, ICDM
ISSN (Print)1550-4786

Conference

Conference2nd IEEE International Conference on Data Mining, ICDM '02
Country/TerritoryJapan
CityMaebashi
Period9/12/0212/12/02

Fingerprint

Dive into the research topics of 'A new implementation technique for fast Spectral based document retrieval systems'. Together they form a unique fingerprint.

Cite this