A Novel Approach for Finding Frequent Itemsets in Data Stream
- Author
- CHANDRA, B1 ; BHASKAR, Shalini2
[1] Department of Mathematics, Indian Institute of Technology Delhi, Hauz Khaz, New Delhi 110 016, India
[2] School of IT, Indian Institute of Technology Delhi, Hauz Khaz, New Delhi 110 016, India - Issue title
- Recent Advances in Intelligent Techniques
- Author (monograph)
- LI, Yongmin (Editor)1 ; XIONG, Ning (Editor)2 ; WANG, Haiying (Editor)3 ; WANG, Lipo (Editor)4
[1] School of Information systems, Computing and Mathematics Brunel University, United Kingdom
[2] School of Innovation, Design and Engineering Mälardalen University, Sweden
[3] School of Computing and Mathematics, University of Ulster, United Kingdom
[4] School of Electrical and Electronic Engineering Nanyang Technological University, Singapore - Source
International journal of intelligent systems. 2013, Vol 28, Num 3, pp 217-241, 25 p ; ref : 17 ref
- CODEN
- IJISED
- ISSN
- 0884-8173
- Scientific domain
- Computer science
- Publisher
- Wiley, Hoboken, NJ
- Publication country
- United States
- Document type
- Article
- Language
- English
- Keyword (fr)
- Efficacité Fouille donnée Intelligence artificielle Intervalle temps Saut Temps exécution Transmission en continu
- Keyword (en)
- Efficiency Data mining Artificial intelligence Time interval Jumping Execution time Streaming
- Keyword (es)
- Eficacia Busca dato Inteligencia artificial Intervalo tiempo Salto Tiempo ejecución Transmisión fluyente
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02B Software / 001D02B04 Computer systems and distributed systems. User interface
- 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 / 001D02C Artificial intelligence
- Discipline
- Computer science : theoretical automation and systems
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 27283767
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
10.1002/int.21566 
https://dx.doi.org/10.1002/int.21566
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