A Fuzzy Base Classifier for Fuzzy Data Included Location Segmentation Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making
2020, Springer
ÖZTAYŞİ BAŞAR,ÖNER SULTAN CEREN
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Gender Prediction from Classified Indoor Customer Paths by Fuzzy C-Medoids Clustering Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making
2020, s. 160-169, Springer
DOĞAN ONUR,ÖZTAYŞİ BAŞAR
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The Moderating Effect of Indulgence on the Relationships Among Global Innovation Index Indicators Industrial Engineering in the Big Data Era
2019, s. 417-425, SPRINGER
ÇETİNGÜÇ BAŞAK,ÇALIK EYÜP,ÇALIŞIR FETHİ
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Factors Affecting Intention to Use Big Data Tools: An Extended Technology Acceptance Mode Industrial Engineering in the Big Data Era
2019, s. 401-416, SPRINGER
OKÇU SERAP,HANÇERLİOĞULLARI GÜLŞAH,BAŞAK ECEM,ÇALIŞIR FETHİ
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Green Hospital Together witha Lean Healthcare System Industrial Engineering in the Big Data Era
2019, s. 461-470, Springer
CAMGÖZ AKDAĞ HATİCE,BELDEK TUĞÇE
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Parallel Encryption Method for Big Data
PRACEDays16, 10 Mayıs 2016
CEBECİ SENA EFSUN,ÖZDEMİR ENVER
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A novel framework for disaster resilient smart cities: Using big data analytics
Bilişim Enstitüsü, İstanbul Teknik Üniversitesi, 2019
SYED ATTIQUE SHAH
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Exploring the possibilities of geospatial big data manipulation using NoSQL
Bilişim Enstitüsü, İstanbul Teknik Üniversitesi, 2019
EZGİ ERGİN
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Proposal for a forecasting methodology to predict commercial real estate values in Istanbul using social big data
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2023
MARAL TAŞCILAR
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SENTIMENT ANALYSIS MODEL PROPOSAL WITH DEEP LEARNING TECHNIQUES ON BIG DATA: PORTFOLIO SELECTION WITH THE HELP OF INDUSTRY INDICATORS
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2023
MAHMUT SAMİ SİVRİ
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Engaging Public Voice in Big Data Society: An On-line Participatory Design Experiment
School of Architecture, Massachusetts Institute of Technology, 2016
Yİ HOU
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Assessing smart city theories and models based on the utilization of big data in cities
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2018
MAKBULE YILDIRIM ÖZGÜVEN
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Quality Control AI and Big Data in Cardiology
2023, s. 135-156, Springer International Publishing
ÖKSÜZ İLKAY, ALAİN LALANDE, PUYOL-ANTON ESTHER
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Multi-criteria Selection Analysis of the City Buses at Municipal Transportation Industrial Engineering in the Big Data Era. Lecture Notes in Management and Industrial Engineering
2019, s. 89-97, Springer
KOSANOĞLU FUAT,BAL ALPEREN
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Real Time Big Data Analytics for Tool Wear Protection with Deep Learning in Manufacturing Industry
INFUS 2022, İzmir/TÜRKİYE, 19 Temmuz 2022, ISSN: 2367-3370
ÇAKIR MUAMMER ALTAN, ÖZKAYA EMRE, AKKUŞ FATİH, KÜÇÜKBAŞ EZGİ, YILMAZ OKAN
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A Markov Decision Process Approach to Estimate the Risk of Obesity Related Cancers Lecture Notes in Management and Industrial Engineering: Industrial Engineering in the Big Data Era, GJCIE 2018
CHAM/İSVİÇRE, 2019, s. 489-502, SPRINGER INTERNATIONAL PUBLISHING AG
YAYLALI EMİNE, KARAMUSTAFA UMUT
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Forecasting commercial real estate indicators under COVID-19 by adopting human activity using social big data
Asia-Pacific Journal of Regional Science, Vol. 6, Ağustos 2022, ISSN: 2509-7946
TAŞÇILAR MARAL, ARSLANLI KEREM YAVUZ
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A new distributed anomaly detection approach for log IDS management based on deep learning
TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES, Vol. 29, No. 5, Ocak 2021, s. 2486-2501, ISSN: 1300-0632
ZAİM ABDÜL HALİM, AYDIN MUHAMMED ALİ, SERTBAŞ AHMET
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An Efficient Big Data Anonymization Algorithm Based on Chaos and Perturbation Techniques
Entropy, Vol. 20, No. 5, Mayıs 2018, s. 1-18, ISSN: 1099-4300
EYÜPOĞLU CAN,AYDIN MUHAMMED ALİ,ZAİM ABDÜL HALİM,SERTBAŞ AHMET
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An Efficient Big Data Anonymization Algorithm Based on Chaos and Perturbation Techniques
Entropy, Vol. 20, No. 5, Mayıs 2018, s. 373, ISSN: 1099-4300
EYÜPOĞLU CAN,AYDIN MUHAMMED ALİ,ZAİM ABDÜL HALİM,SERTBAŞ AHMET
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