Cargando…

Data Streams Models and Algorithms /

In recent years, the progress in hardware technology has made it possible for organizations to store and record large streams of transactional data. Such data sets which continuously and rapidly grow over time are referred to as data streams. Data Streams: Models and Algorithms primarily discusses i...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Aggarwal, Charu C. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer US : Imprint: Springer, 2007.
Edición:1st ed. 2007.
Colección:Advances in Database Systems ; 31
Temas:
Acceso en línea:Texto Completo

MARC

LEADER 00000nam a22000005i 4500
001 978-0-387-47534-9
003 DE-He213
005 20220114194057.0
007 cr nn 008mamaa
008 100301s2007 xxu| s |||| 0|eng d
020 |a 9780387475349  |9 978-0-387-47534-9 
024 7 |a 10.1007/978-0-387-47534-9  |2 doi 
050 4 |a QA76.9.D343 
072 7 |a UNF  |2 bicssc 
072 7 |a UYQE  |2 bicssc 
072 7 |a COM021030  |2 bisacsh 
072 7 |a UNF  |2 thema 
072 7 |a UYQE  |2 thema 
082 0 4 |a 006.312  |2 23 
245 1 0 |a Data Streams  |h [electronic resource] :  |b Models and Algorithms /  |c edited by Charu C. Aggarwal. 
250 |a 1st ed. 2007. 
264 1 |a New York, NY :  |b Springer US :  |b Imprint: Springer,  |c 2007. 
300 |a XVIII, 354 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Advances in Database Systems ;  |v 31 
505 0 |a An Introduction to Data Streams -- On Clustering Massive Data Streams: A Summarization Paradigm -- A Survey of Classification Methods in Data Streams -- Frequent Pattern Mining in Data Streams -- A Survey of Change Diagnosis Algorithms in Evolving Data Streams -- Multi-Dimensional Analysis of Data Streams Using Stream Cubes -- Load Shedding in Data Stream Systems -- The Sliding-Window Computation Model and Results -- A Survey of Synopsis Construction in Data Streams -- A Survey of Join Processing in Data Streams -- Indexing and Querying Data Streams -- Dimensionality Reduction and Forecasting on Streams -- A Survey of Distributed Mining of Data Streams -- Algorithms for Distributed Data Stream Mining -- A Survey of Stream Processing Problems and Techniques in Sensor Networks. 
520 |a In recent years, the progress in hardware technology has made it possible for organizations to store and record large streams of transactional data. Such data sets which continuously and rapidly grow over time are referred to as data streams. Data Streams: Models and Algorithms primarily discusses issues related to the mining aspects of data streams rather than the database management aspect of streams. This volume covers mining aspects of data streams in a comprehensive style. Each contributed chapter, from a variety of well known researchers in the data mining field, contains a survey on the topic, the key ideas in the field from that particular topic, and future research directions. Data Streams: Models and Algorithms is intended for a professional audience composed of researchers and practitioners in industry. This book is also appropriate for graduate-level students in computer science. Charu C. Aggarwal obtained his B.Tech in Computer Science from IIT Kanpur in 1993 and Ph.D. from MIT in 1996. He has been a Research Staff Member at IBM since then, and has published over 90 papers in major conferences and journals in the database and data mining field. He has applied for, or been granted, over 50 US and International patents, and has twice been designated Master Inventor at IBM for the commercial value of his patents. He has been granted 14 invention achievement awards by IBM for his patents. His work on real time bio-terrorist threat detection in data streams won the IBM Epispire award for environmental excellence in 2003. He has served on the program committee of most major database conferences, and was program chair for the Data Mining and Knowledge Discovery Workshop, 2003, and a program vice-chair for the SIAM Conference on Data Mining, 2007. He is an associate editor of the IEEE Transactions on Data Engineering and an action editor of the Data Mining and Knowledge Discovery Journal. He is a senior member of the IEEE. 
650 0 |a Data mining. 
650 0 |a Artificial intelligence. 
650 0 |a Database management. 
650 0 |a Information storage and retrieval systems. 
650 0 |a Multimedia systems. 
650 0 |a Computer networks . 
650 1 4 |a Data Mining and Knowledge Discovery. 
650 2 4 |a Artificial Intelligence. 
650 2 4 |a Database Management. 
650 2 4 |a Information Storage and Retrieval. 
650 2 4 |a Multimedia Information Systems. 
650 2 4 |a Computer Communication Networks. 
700 1 |a Aggarwal, Charu C.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9780387509440 
776 0 8 |i Printed edition:  |z 9780387287591 
776 0 8 |i Printed edition:  |z 9781461497684 
830 0 |a Advances in Database Systems ;  |v 31 
856 4 0 |u https://doi.uam.elogim.com/10.1007/978-0-387-47534-9  |z Texto Completo 
912 |a ZDB-2-SCS 
912 |a ZDB-2-SXCS 
950 |a Computer Science (SpringerNature-11645) 
950 |a Computer Science (R0) (SpringerNature-43710)