A scalable algorithm for mining maximal frequent sequences using a sample
- Author
- CONGNAN LUO1 ; CHUNG, Soon M1
[1] Department of Computer Science and Engineering, Wright State University, Dayton, OH 45435, United States - Source
Knowledge and information systems. 2008, Vol 15, Num 2, pp 149-179, 31 p ; ref : 23 ref
- ISSNNV
- 0219-1377
- Scientific domain
- Computer science
- Publisher
- Springer, Godalming
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Author keyword
- Data mining .Maximal frequent sequences Sampling· Signatures· Prefix tree .Performance analysis
- Keyword (fr)
- Algorithme recherche Analyse donnée Analyse signature Base de données Echantillonnage Elagage Extensibilité Extraction information Fouille donnée Hachage Méthode arborescente Méthode séquentielle Rognage Semence Structure arborescente
- Keyword (en)
- Search algorithm Data analysis Signature analysis Database Sampling Pruning(tree) Scalability Information extraction Data mining Hashing Tree structured method Sequential method Trimming Seed Tree structure
- Keyword (es)
- Algoritmo búsqueda Análisis datos Análisis firma Base dato Muestreo Poda Estensibilidad Extracción información Busca dato Hashing Método arborescente Método secuencial Cercenadura Semilla Estructura arborescente
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02B Software / 001D02B07 Memory organisation. Data processing / 001D02B07B Data processing. List processing. Character string processing
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02B Software / 001D02B07 Memory organisation. Data processing / 001D02B07D Information systems. Data bases
- Discipline
- Computer science : theoretical automation and systems
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 20354981
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1007/s10115-006-0056-0 
https://dx.doi.org/10.1007/s10115-006-0056-0
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