1997
DOI: 10.14236/ewic/adbis1997.16
|View full text |Cite
|
Sign up to set email alerts
|

S-Index: a Hybrid Structure for Text Retrieval

Abstract: Two textbase indexing methods enjoying wide applicability are the inverted index and the Superimposed Coding based Signature File (SC-SF). The former is most efficient in query processing, whereas the latter excels in storage utilization. Building on previous results, we propose a new hybrid structure (S-Index) which has a tunable performance. At the one extreme end, S-Index turns into a signature file with zero information loss, so that queries are processed faster than in ordinary SC-SF. At the other extreme… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
1
0
1

Year Published

2008
2008
2008
2008

Publication Types

Select...
2
1

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(2 citation statements)
references
References 5 publications
0
1
0
1
Order By: Relevance
“…As already mentioned, the most common features of acoustic music are produced by time analysis, spectral analysis and wavelet analysis. The coefficients collected from each of these analyses can be indexed in TV-Trees (Lin, K.-I., Jagadish, H.V., & Faloutsos, C., 1994), locality-sensitive hashing schemes (Yang, C., 2002), S-Indexes (Dervos, D., Linardis, P., & Manolopoulos, Y., 1997). In addition, (Reiss, J., Aucouturier, J.-J., & Sandler, M., 2001) compares four different multidimensional indexing schemes for music data, the KD-Tree, the K-Tree, the Multidimensional Quick-sort and the Box Assisted Method.…”
Section: Indices For Music Datamentioning
confidence: 99%
“…As already mentioned, the most common features of acoustic music are produced by time analysis, spectral analysis and wavelet analysis. The coefficients collected from each of these analyses can be indexed in TV-Trees (Lin, K.-I., Jagadish, H.V., & Faloutsos, C., 1994), locality-sensitive hashing schemes (Yang, C., 2002), S-Indexes (Dervos, D., Linardis, P., & Manolopoulos, Y., 1997). In addition, (Reiss, J., Aucouturier, J.-J., & Sandler, M., 2001) compares four different multidimensional indexing schemes for music data, the KD-Tree, the K-Tree, the Multidimensional Quick-sort and the Box Assisted Method.…”
Section: Indices For Music Datamentioning
confidence: 99%
“…Ïé óõíôåëåóôÝò ðïõ óõëëÝãïíôáé áðü ôéò áíáëýóåéò áõôÝò ìðïñïýí äåéêôïäïôçèïýí ìå TV-äÝíäñá [89], ìå ôç ìÝèïäï ôïõ * Ôï êåöÜëáéï áíôëåß ôá ðåñéå÷üìåíÜ ôïõ áðü ôçí åñãáóßá [47]. åõáßóèçôïõ êáôáêåñìáôéóìïý ùò ðñïò ôçí ôïðéêüôçôá (locality-sensitive hashing) [102], S-êáôáëüãïõò [21] êëð. ÅðéðëÝïí, ç åñãáóßá [83] ðáñïõóéÜaeåé ìéá óýãêñéóç ôåóóÜñùí äéáöïñåôéêþí ðïëõäéÜóôáôùí ìåèüäùí äåéêôïäüôçóçò ìïõóéêþí äåäïìÝíùí, ôï KD-äÝíäñï, ôï K-äÝíäñï, ôçí ðïëõäéÜóôáôç ãñÞãïñç ôáîéíüìçóç êáé ôç ìÝèïäï Box Assisted.…”
Section: áðïôåëýóìáôá ÷áñáêôçñéóôéêþí éóôïãñáììüôùíunclassified