loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Mohamed Medhat Gaber ; Shonali Krishnaswamy and Arkady Zaslavsky

Affiliation: School of Computer Science and Software Engineering, Monash University, Australia

Abstract: The sensor networks, web click stream and astronomical applications generate a continuous flow of data streams. Most likely data streams are generated in a wireless environment. These data streams challenge our ability to store and process them in real-time with limited computing capabilities of the wireless environment. Querying and mining data streams have attracted attention in the past two years. The main idea behind the proposed techniques in mining data streams in to develop efficient approximate algorithms with an acceptable accuracy. Recently, we have proposed algorithm output granularity as an approach in mining data streams. This approach has the advantage of being resource-aware in addition to its generality. In this paper, a model for mining data streams in a wireless environment has been proposed. The model contains two novel contributions; a ubiquitous data mining system architecture and algorithm output granularity approach in mining data streams.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.137.180.32

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Medhat Gaber, M.; Krishnaswamy, S. and Zaslavsky, A. (2004). A Wireless Data Stream Mining Model. In Proceedings of the 3rd International Workshop on Wireless Information Systems (ICEIS 2004) - WIS; ISBN 972-8865-02-3, SciTePress, pages 152-160. DOI: 10.5220/0002676301520160

@conference{wis04,
author={Mohamed {Medhat Gaber}. and Shonali Krishnaswamy. and Arkady Zaslavsky.},
title={A Wireless Data Stream Mining Model},
booktitle={Proceedings of the 3rd International Workshop on Wireless Information Systems (ICEIS 2004) - WIS},
year={2004},
pages={152-160},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002676301520160},
isbn={972-8865-02-3},
}

TY - CONF

JO - Proceedings of the 3rd International Workshop on Wireless Information Systems (ICEIS 2004) - WIS
TI - A Wireless Data Stream Mining Model
SN - 972-8865-02-3
AU - Medhat Gaber, M.
AU - Krishnaswamy, S.
AU - Zaslavsky, A.
PY - 2004
SP - 152
EP - 160
DO - 10.5220/0002676301520160
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic