IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Synopsis Data Structures for Representing, Querying, and Mining Data Streams

Synopsis Data Structures for Representing, Querying, and Mining Data Streams
View Sample PDF
Author(s): Alfredo Cuzzocrea (University of Calabria, Italy)
Copyright: 2009
Pages: 15
Source title: Handbook of Research on Innovations in Database Technologies and Applications: Current and Future Trends
Source Author(s)/Editor(s): Viviana E. Ferraggine (UNICEN, Argentina), Jorge Horacio Doorn (UNICEN, Argentina)and Laura C. Rivero (UNICEN, Argentina)
DOI: 10.4018/978-1-60566-242-8.ch075

Purchase

View Synopsis Data Structures for Representing, Querying, and Mining Data Streams on the publisher's website for pricing and purchasing information.

Abstract

Data-stream query processing and mining is an emerging challenge for the database research community. This issue has recently gained the attention from the academic as well as the industrial world. Data streams are continuously flooding data produced by untraditional information sources. They are generated by a growing number of data entities, among all we recall performance measurements in network monitoring and traffic management systems, call details records in telecommunication systems, transactions in retail chains, ATM operations, log records generated by Web servers, sensor network data, RFID- (radio frequency identification) based readings, and so forth.

Related Content

Renjith V. Ravi, Mangesh M. Ghonge, P. Febina Beevi, Rafael Kunst. © 2022. 24 pages.
Manimaran A., Chandramohan Dhasarathan, Arulkumar N., Naveen Kumar N.. © 2022. 20 pages.
Ram Singh, Rohit Bansal, Sachin Chauhan. © 2022. 19 pages.
Subhodeep Mukherjee, Manish Mohan Baral, Venkataiah Chittipaka. © 2022. 17 pages.
Vladimir Nikolaevich Kustov, Ekaterina Sergeevna Selanteva. © 2022. 23 pages.
Krati Reja, Gaurav Choudhary, Shishir Kumar Shandilya, Durgesh M. Sharma, Ashish K. Sharma. © 2022. 18 pages.
Nwosu Anthony Ugochukwu, S. B. Goyal. © 2022. 23 pages.
Body Bottom