Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Büyük Veri Çağında İşletmelerde Veri Bilimi
Date
2018-11-10
Author
Gökalp, Mert Onuralp
Kayabay, Kerem
Çoban, Selin
Eren, Pekin Erhan
Metadata
Show full item record
Item Usage Stats
366
views
0
downloads
Cite This
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 her geçen gün hızla artmaktadır. Ancak bu mevcut verileri etkin şekilde kullanmak, stratejik üstünlük elde etmek ve kendi iş süreçlerini iyileştirmek isteyen kuruluşların büyük veri ve veri biliminden elde edebilecekleri faydaları doğru tanımlamaları ve şirketlerini bu doğrultuda veri odaklı yönetime hazır hale getirmeleri gerekmektedir. Bu nedenle, bu çalışma kapsamında, büyük veri ve veri biliminin tanımı, mevcut durumu ve işletmelerin büyük veri çağında veri bilimini iş süreçlerine dahil ederken karşılaşacakları zorluklar incelenmiştir.
Subject Keywords
Big data
,
Data science
,
Data analytics
URI
https://hdl.handle.net/11511/79419
https://imisc.figshare.com/articles/journal_contribution/Bu_yu_k_Veri_C_ag_nda_I_s_letmelerde_Veri_Bilimi/7550774
Conference Name
Fifth International Management Information Systems Conference
Collections
Graduate School of Informatics, Conference / Seminar
Suggestions
OpenMETU
Core
Learning-based methods for multi-modal and multi-spectral data
Özkan, Savaş; Akar, Gözde; Department of Electrical and Electronics Engineering (2020-10-15)
Data-driven solutions have become essential parts of our daily lives. These solutions generally consume a large amount of supervised data. Additionally, a large-body of learnable parameters must be trained to be able to reach the level of human knowledge accurately. However, these dependencies can be overcome by making full use of domain-specific features via specialized learning structures. This thesis addresses unsupervised and multimodal data by utilizing different sensor types and application doma...
Balanced Path Generation and Reliability Extension for In-band Network Telemetry
ŞİMŞEK, GÖKSEL; Onur, Ertan; Alemdar, Hande; Department of Computer Engineering (2021-5)
Network monitoring is one of the key aspects to ensure communication reliability in case of failures and malicious activities and has several design issues depending on the system characteristics. As traditional monitoring solutions usually rely on periodic updates between the network controller and ordinary nodes, scalability re- mains a challenge, especially for large-scale systems. A recent solution, the In-Band Network Telemetry (INT) framework, allows data packets to probe the nodes while traversing th...
A COMPUTATIONAL ONTOLOGICAL MODEL FOR MACHINE-UNDERSTANDABLE DATA IN ARTIFICIAL INTELLIGENCE
Yargan, Dilek; Zambak, Aziz Fevzi; Department of Philosophy (2022-10)
Big Data is believed to be one of the most important phenomena of the century due to its transformative effects and those undeniable effects of the data deluge in the fields of industry, science, and the Web -the fundamental wheels upon which today's world makes progress- are, however, hardly transformative. If Big Data is to lead to revolutions in these fields, the machine must be autonomous, that is, to perform higher-order cognitive skills, such as making decisions, inferences, and recommendations. The c...
Çoklu Exsiton Üretebilen ve Tekli Fisyona Duyarlı Hibrit Güneş Pili Geliştirilmesi
Asil Alptekin, Demet(2017-12-31)
Yenilenebilir enerji kaynakları alanlarında son yıllarda hızla artmakta olan çalışmalar umut vaat edici sonuçlar vermekte ve bu durum Avrupa ve Amerika gibi ülkelerin yanı sıra gelişmekte olan ülkeler için de büyük önem taşımaktadır. Kristal silikon teknolojisinin teorik limitine ulaşmasıyla birlikte gelecekte fosil yakıtlarına alternatif olarak gösterilen birincil enerji kaynağı olan güneş enerjisinden daha etkin bir biçimde faydalanmak amacıyla yeni nesil hibrit güneş pili teknolojileri geliştirilmektedir...
IMAGE-BASED OCCUPANCY SENSING AND PRIVACY IMPLICATIONS
Haroon, Hammad; Pekeriçli, Mehmet Koray; Department of Building Science in Architecture (2022-7-07)
As the use of data collection in the built environment increased, data pertaining to building occupancy has gained considerable importance in realms such as energy optimization and spatial usage analytics. However, many data collection approaches infringe on individuals’ rights to privacy, and subsequently their comfort. This thesis aims to address the tension between the proliferation of smart building technologies and individual privacy and autonomy, specifically focusing on image-based sensing. It explor...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
M. O. Gökalp, K. Kayabay, S. Çoban, and P. E. Eren, “Büyük Veri Çağında İşletmelerde Veri Bilimi,” presented at the Fifth International Management Information Systems Conference, Ankara, TURKEY, 2018, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/79419.