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Authors: Taneli Rautio ; Perttu Laurinen and Juha Röning

Affiliation: Intelligent Systems Group, University of Oulu, Finland

Keyword(s): Mobile data mining, Component-based framework.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Data Mining ; Databases and Information Systems Integration ; Enterprise Information Systems ; Sensor Networks ; Signal Processing ; Soft Computing

Abstract: The increasing use of various mobile devices has shown that there is a need for mobile data mining applications. While many existing data mining frameworks can be modified to handle data streams generated in real time, they are usually too complex and inflexible to be used in mobile devices. This paper presents Mobile Smart Archive, a component-based framework for data stream mining in mobile devices. The framework takes care of generic data mining operations, allowing the application developer to concentrate on implementing only application-specific functionalities. This reduces implementation time and generates fewer errors, since the underlying framework of the application is tested and robust. The presented framework is written in C++ and it extends the existing Smart Archive framework with support for mobile systems and real-time sensors. The benefits of framework-based applications in the mobile world are presented by building and testing a demonstration program in different c omputer architectures. In this paper we show that the MSA framework is suitable for building data stream mining applications for the hardware-oriented mobile environment. (More)

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Paper citation in several formats:
Rautio, T.; Laurinen, P. and Röning, J. (2009). COMPONENT-BASED FRAMEWORK FOR MOBILE DATA MINING WITH SUPPORT FOR REAL-TIME SENSORS. In Proceedings of the International Conference on Agents and Artificial Intelligence - ICAART; ISBN 978-989-8111-66-1; ISSN 2184-433X, SciTePress, pages 208-213. DOI: 10.5220/0001657702080213

@conference{icaart09,
author={Taneli Rautio. and Perttu Laurinen. and Juha Röning.},
title={COMPONENT-BASED FRAMEWORK FOR MOBILE DATA MINING WITH SUPPORT FOR REAL-TIME SENSORS},
booktitle={Proceedings of the International Conference on Agents and Artificial Intelligence - ICAART},
year={2009},
pages={208-213},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001657702080213},
isbn={978-989-8111-66-1},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the International Conference on Agents and Artificial Intelligence - ICAART
TI - COMPONENT-BASED FRAMEWORK FOR MOBILE DATA MINING WITH SUPPORT FOR REAL-TIME SENSORS
SN - 978-989-8111-66-1
IS - 2184-433X
AU - Rautio, T.
AU - Laurinen, P.
AU - Röning, J.
PY - 2009
SP - 208
EP - 213
DO - 10.5220/0001657702080213
PB - SciTePress

- Science and Technology Publications, Lda.
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