Pregled bibliografske jedinice broj: 938143
Predictive analytics in Big Data platforms– comparison and strategies
Predictive analytics in Big Data platforms– comparison and strategies // MIPRO Proceedings 2016 / Biljanović, Petar (ur.).
Rijeka, 2016. str. 1747-1752 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 938143 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Predictive analytics in Big Data platforms– comparison and strategies
Autori
Zekić-Sušac, Marijana ; Has, Adela
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
MIPRO Proceedings 2016
/ Biljanović, Petar - Rijeka, 2016, 1747-1752
ISBN
978-953-233-087-8
Skup
39th International Convention MIPRO 2016
Mjesto i datum
Opatija, Hrvatska, 30.05.2016. - 03.06.2016
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Big Data, business analytics, business intelligence system, predictive analytics
Sažetak
Predictive analytics include methods that are able to model data for prediction, classification, clustering, and association purposes. In the context of Big Data paradigm, the tools for performing those methods need certain adjustments to address the Big Data volume, velocity, variety, veracity, and value. The aim of this paper is first to compare the characteristics of several biggest tools for predictive analytics according to their flexibility and adjustability to Big Data platforms such as Hadoop and Spark. The second aim is to suggest strategies for efficient exploatation of business analytics in decision making within a business intelligent system. Both predictive analytics tools and business intelligence systems need adjustments to address new trends in data collection and analyses. The paper also discusses the necessary changes in business intelligent systems regarding their impact to management decision processes.
Izvorni jezik
Engleski
Znanstvena područja
Ekonomija
