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Research Challenge of Locally Computed Ubiquitous Data Mining

Research Challenge of Locally Computed Ubiquitous Data Mining

Aysegul Cayci, João Bártolo Gomes, Andrea Zanda, Ernestina Menasalvas, Santiago Eibe
Copyright: © 2013 |Pages: 19
ISBN13: 9781466624559|ISBN10: 1466624558|EISBN13: 9781466624566
DOI: 10.4018/978-1-4666-2455-9.ch101
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MLA

Cayci, Aysegul, et al. "Research Challenge of Locally Computed Ubiquitous Data Mining." Data Mining: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2013, pp. 1960-1978. https://doi.org/10.4018/978-1-4666-2455-9.ch101

APA

Cayci, A., Gomes, J. B., Zanda, A., Menasalvas, E., & Eibe, S. (2013). Research Challenge of Locally Computed Ubiquitous Data Mining. In I. Management Association (Ed.), Data Mining: Concepts, Methodologies, Tools, and Applications (pp. 1960-1978). IGI Global. https://doi.org/10.4018/978-1-4666-2455-9.ch101

Chicago

Cayci, Aysegul, et al. "Research Challenge of Locally Computed Ubiquitous Data Mining." In Data Mining: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 1960-1978. Hershey, PA: IGI Global, 2013. https://doi.org/10.4018/978-1-4666-2455-9.ch101

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Abstract

Advances in wireless, sensor, mobile and wearable technologies present new challenges for data mining research on providing mobile applications with intelligence. Autonomy and adaptability requirements are the two most important challenges for data mining in this new environment. In this chapter, in order to encourage the researchers on this area, we analyzed the challenges of designing ubiquitous data mining services by examining the issues and problems while paying special attention to context and resource awareness. We focused on the autonomous execution of a data mining algorithm and analyzed the situational factors that influence the quality of the result. Already existing solutions in this area and future directions of research are also covered in this chapter.

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