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[null,"1.","Record Nr.",null,"UNINA9910787279903321"]
[null,null,"Titolo",null,"Integrated information systems / / guest editors, Professor Georgios Giannakopoulos and Professor Damianos Sakas"]
[null,null,"Pubbl/distr/stampa",null,"Bradford, [England] : , : Emerald Insight, , 2014"]
[{"$nulls":4},"©2014"]
[null,null,"ISBN",null,"1-78441-412-3"]
[null,null,"Descrizione fisica",null,"1 online resource (101 p.)"]
[null,null,"Collana",null,"Journal of Systems and Information Technology, , 1328-7265 ; ; Volume 16, Issue 3"]
[null,null,"Disciplina",null,"025.0661"]
[null,null,"Soggetti",null,"Database searching"]
[{"$nulls":4},"Information retrieval"]
[{"$nulls":4},"Information storage and retrieval systems"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references."]
[null,null,"Nota di contenuto",null,"Cover; EDITORIAL ADVISORY BOARD; Provision of an integrated data analysis platform for computational neuroscience experiments; Electronic service quality in online shopping and risk reduction strategies; Modelling strategic management for the development of competitive advantage, based on technology; Human factor and information security in higher education; Ensemble majority voting classifier for speech emotion recognition and prediction; Developing and managing digital service ecosystems: a service science viewpoint"]
[null,null,null,"Sommario/riassunto","The articles included in the issue have been submitted to last year's International Conference on Integrated Information.The paper on Provision of an Integrated Data Analysis Platform for Computational Neuroscience Experiments by a multi-disciplinary team at the University of the West of England (Munir et al) provides a base in order to facilitate computational neuroscience experiments. An integrated e-science environment of computational neuroimaging could enhance the prospects, speed and utility of the data analysis process for neurodegenerative diseases. A user-led approach is proposed to p"]