Leur but principal est le soutien des connaissances humaines pour maximiser les processus de transformation numérique que la société affronte de nos jours, produisant de clairs avantages compétitifs. Technologies essentielles en Intelligence Artificielle et Big Data : Prédiction, clustering et appr...
Big Data and AI-Driven Product Design: A Survey by Huafeng Quan 1, Shaobo Li 2, Changchang Zeng 3, Hongjing Wei 4 and Jianjun Hu 5,* 1 College of Big Data and Statistics, Guizhou University of Finance and Economics, Guiyang 550050, China 2 State Key Laboratory of Public Big ...
Glücklicherweise machen die Fortschritte in den Bereichen Analytik und maschinelles Lernen die Big Data-Analyse für jedes Unternehmen zugänglich. Was versteht man unter Big Data? Big Data: Definition Bei Big Data handelt es sich um extrem große und komplexe Datensätze, die mit herk...
Current measures for fighting schistosomiasis are principally focused on chemotherapy3, 6. Senegal has implemented a national control program (Programme National de Lutte contre la Bilharziose, PNLB) since 199938. The PNLB is still ongoing, but the scarcity of large-scale data on treatment coverag...
Figure 3. Analysis of the proposed model by estimating coefficients using a maximum likelihood function. 4. Discussion: Big Data, and Open Innovation The main objective of this study is to identify the factors that influence the adoption of BDA, as well as to understand the impact of BDA on...
‘Big data’ is massive amounts of information that can work wonders. It has become a topic of special interest for the past two decades because of a great potential that is hidden in it. Various public and private sector industries generate, store, and
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The healthcare industry is different from other industries–patient data are sensitive, their storage needs to be handled with care and in compliance with regulative, while prediction accuracy needs to be high. This fast expansion in medical image modali
www.nature.com/scientificreports OPEN True Randomness from Big Data received: 16 February 2016 accepted: 18 August 2016 Published: 26 September 2016 Periklis A. Papakonstantinou1,*, David P. Woodruff2,* & Guang Yang3,* Generating random bits is a difficult task, which is important...
Section 3 provides a description of the current state of the art in the data mining and data analytic techniques that are used in social big data. Section 4 describes a number of applications related to marketing, crime analysis, epidemic intelligence, and user experiences. Finally, Section 5 ...