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Towards intelligent data analysis : the metadata challenge

Author
Bilalli, B.; Abello, A.; Aluja, T.; Wrembel, R.
Type of activity
Presentation of work at congresses
Name of edition
International Conference on Internet of Things and Big Data, IoTBD 2016
Date of publication
2016
Presentation's date
2016-04-24
Book of congress proceedings
Proceedings of the International Conference on Internet of Things and Big Data
First page
331
Last page
338
DOI
https://doi.org/10.5220/0005876203310338 Open in new window
Repository
http://hdl.handle.net/2117/101676 Open in new window
URL
http://www.scitepress.org/DigitalLibrary/PublicationsDetail.aspx?ID=RksuHrxocMo%3d&t=1 Open in new window
Abstract
Once analyzed correctly, data can yield substantial benefits. The process of analyzing the data and transforming it into knowledge is known as Knowledge Discovery in Databases (KDD). The plethora and subtleties of algorithms in the different steps of KDD, render it challenging. An effective user support is of crucial importance, even more now, when the analysis is performed on Big Data. Metadata is the necessary component to drive the user support. In this paper we study the metadata required to...
Citation
Bilalli, B., Abello, A., Aluja, T., Wrembel, R. Towards intelligent data analysis : the metadata challenge. A: International Conference on Internet of Things and Big Data. "Proceedings of the International Conference on Internet of Things and Big Data". Rome: 2016, p. 331-338.
Keywords
Data analytics, Data mining, Digital storage, Intelligent data analysis, Intelligent systems, Internet, Internet of things – Metadata, Knowledge discovery in database, Metadata repositories, User assistance, User support, Whole process
Group of research
DTIM - Database Technologies and lnformation Management Group
IMP - Information Modelling and Processing
inLab FIB
inSSIDE - integrated Software, Service, Information and Data Engineering

Participants