Kerem Kayabay

E-mail

kayabay@metu.edu.tr

Department

Graduate School of Informatics

ORCID

0000-0002-3333-4248

Scopus Author ID

57193878685

Web of Science Researcher ID

ABA-2271-2020

Data science roadmapping: An architectural framework for facilitating transformation towards a data-driven organization Kayabay, Kerem; Gökalp, Mert Onuralp; Eren, Pekin Erhan; Koçyiğit, Altan (2022-01-01) Leveraging data science can enable businesses to exploit data for competitive advantage by generating valuable insights. However, many industries cannot effectively incorporate data science into their business processes, a...
A Workflow and Cloud Based Service-Oriented Architecture for Distributed Manufacturing in Industry 4.0 Context Kayabay, Kerem; Gökalp, Mert Onuralp; Eren, Pekin Erhan; Koçyiğit, Altan (2018-11-22) In Industry 4.0, manufacturing organizations have to become more flexible and agile to stay competitive in the marketplace. Industry and academia focus on sharing globally distributed manufacturing resources and capabiliti...
Büyük Veri Çağında İşletmelerde Veri Bilimi Gökalp, Mert Onuralp; Kayabay, Kerem; Çoban, Selin; Eren, Pekin Erhan (null; 2018-11-10) İçinde bulunduğumuz büyük veri çağında bilgi teknolojisi servislerinden ve nesnelerin interneti kaynaklarından üretilen veri miktarındaki üstel artış ile birlikte şirketlerin veriden elde edebileceği fayda da h...
A Context Aware Notification Architecture Based on Distributed Focused Crawling in the Big Data Era AKYOL, MEHMET ALİ; Gökalp, Mert Onuralp; Kayabay, Kerem; Eren, Pekin Erhan; Koçyiğit, Altan (2017-09-08) The amount of data created in various sources over the Web is tremendously increasing. Trying to keep track of relevant sources is an increasingly time-consuming task. The traditional way of accessing information over the ...
BIG DATA FOR INDUSTRY 4.0: A CONCEPTUAL FRAMEWORK Gökalp, Mert Onuralp; Kayabay, Kerem; Eren, Pekin Erhan; Koçyiğit, Altan (2016-12-17) Exponential growth in data volume originating from Internet of Things sources and information services drives the industry to develop new models and distributed tools to handle big data. In order to achieve strategic advan...
GELECEĞİN KURULUŞLARI İÇİN BÜYÜK VERİ MEVCUT DURUM VE EĞİLİMLER Kayabay, Kerem; Gökalp, Mert Onuralp; Eren, Pekin Erhan; Koçyiğit, Altan (null; 2016-10-06) Exponential growth in data volume originating from Internet of Thingssources and information services drives the industry to develop new models and distributed tools to handle big data. In order to achieve strategic advant...

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