Difference between revisions of "User:H. Kemal İlter"

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<h5 class="title is-5">Cyber-Social Systems</h5>
 
<h5 class="title is-5">Cyber-Social Systems</h5>
 
<ul>
 
<ul>
−
<li>Social computing technologies
+
<li>Social computing technologies</li>
−
Smart city
+
<li>Smart city</li>
−
Smart government</li>
+
<li>Smart government</li>
 
</ul>
 
</ul>
 
             </div>
 
             </div>
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<h5 class="title is-5">Big data and its analytics</h5>
 
<h5 class="title is-5">Big data and its analytics</h5>
 
<ul>
 
<ul>
−
<li>Big data applications
+
<li>Big data applications</li>
−
Big data integrity
+
<li>Big data integrity</li>
−
Big data processing
+
<li>Big data processing</li>
−
Security and privacy in the era of data science and big data
+
<li>Security and privacy in the era of data science and big data</li>
−
Big data analysis and semantics
+
<li>Big data analysis and semantics</li>
−
Data visualisation</li>
+
<li>Data visualisation</li>
 
</ul>
 
</ul>
 
             </div>
 
             </div>
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<h5 class="title is-5"> Cognitive Computing </h5>
 
<h5 class="title is-5"> Cognitive Computing </h5>
 
<ul>
 
<ul>
−
<li>Cognitive computing techniques using artificial intelligence, sophisticated pattern and speech recognition, and natural language processing
+
<li>Cognitive computing techniques using artificial intelligence, sophisticated pattern and speech recognition, and natural language processing</li>
−
Machine learning
+
<li>Machine learning</li>
−
Neural networks
+
<li>Neural networks</li>
−
Big data and cognition
+
<li>Big data and cognition</li>
−
Big data infrastructure for cognition</li>
+
<li>Big data infrastructure for cognition</li>
 
</ul>
 
</ul>
 
             </div>
 
             </div>
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     </section>
 
     </section>
 
</html>
 
</html>
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−
Management Information Systems (General)
 
−
 
−
MIS Training and Education
 
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MIS Staff and Employment
 
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MIS theories and approaches
 
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M-Commerce business models, applications, and best practices
 
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Next Generation business models
 
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Knowledge management
 
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Social impact of technology development
 
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Disaster management
 
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Entrepreneurship
 
−
Innovation
 
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Enterprise resource planning (ERP)
 
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Project management
 
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Supply chain management
 
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Business analytics
 
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Management of technology
 
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Healthcare management
 
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Database management systems
 
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Process management
 
−
 
−
Information Systems (Business and technical)
 
−
 
−
Software Development
 
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Robotic and smart agriculture
 
−
Information systems issues
 
−
Smart technologies
 
−
Human-computer interaction
 
−
Usability
 
−
Gamification
 
−
Healthcare information systems
 
−
Tourism information systems
 
−
Simulation
 
−
Ethical and legal issues
 
−
 
−
E-Applications
 
−
 
−
E-Government strategies, implementation procedures, and case studies
 
−
E-Learning
 
−
Mobil technologies
 
−
E- Business and Internet Computing
 
−
Software engineering of e-business systems
 
−
E-Commerce issues, trends, and case studies
 
−
 
−
Internet Technologies
 
−
 
−
Semantic Web
 
−
Internet and Web Applications
 
−
Web Technology
 
−
Cloud computing
 
−
Web 2.0
 
−
Web 3.0
 
−
 
−
Microcontrollers And Applications
 
−
3D technologies
 
−
Internet of Things
 
−
Sensors
 
−
Robotic Applications
 
−
Augmented reality
 
−
Image Vision and Processing
 
−
 
−
Information Security & Law
 
−
 
−
IT Law
 
−
Digital Forensics
 
−
Information Security
 
−
Forensic computing
 
−
Digital signature
 
−
Data Security
 
−
Personal data protection
 
−
Cybersecurity
 
−
 
−
Artificial Intelligence and Machine Learning
 
−
 
−
Artificial Neural Networks
 
−
Cognitive systems
 
−
Genetic Algorithms
 
−
Fuzzy Logic and Neural Network applications
 
−
Artificial intelligence
 
−
Deep Learning
 
−
Evolutionary Algorithms
 
−
 
−
Social and Digital Media
 
−
 
−
Social Networks
 
−
Digital Media
 
−
Social Media
 
−
 
−
Geographical Information Systems
 
−
 
−
Remote Sensing
 
−
Urban Information Systems
 
−
Smart Cities
 
−
Transportation
 
−
Urban and Environmental Planning
 
−
 
−
Business Intelligence and Decision Support Systems
 
−
 
−
Expert Systems
 
−
Decision Support Systems
 
−
Healthcare Decision Support Systems
 
−
 
−
Data Mining
 
−
 
−
Big Data
 
−
Data Warehouses and Data Mining
 
−
Data Mining techniques
 
−
Data Lake
 
−
Data Analytics
 
−
Data Visualization
 
−
Knowledge extraction and search
 
−
Spatial Data Mining and Knowledge Discovery
 
−
Natural Language Processing
 
−
 
−
Concepts, models, methods, tools, and techniques in Enterprise and IS Engineering
 
−
Business process management
 
−
Business process modeling, analysis, and engineering
 
−
Requirements engineering
 
−
Enterprise architecture and frameworks
 
−
Model-driven engineering
 
−
Aspect-oriented analysis and modeling
 
−
Domain-specific languages and tools
 
−
Blockchain technology
 
−
Advanced database systems
 
−
Reuse
 
−
Testing and validation
 
−
Architectures and quality aspects of information systems
 
−
Service-oriented IS
 
−
Multi-agent IS
 
−
Process-aware IS
 
−
Cloud-based IS
 
−
Multi-platform IS
 
−
Cyber-physical systems
 
−
Internet of things
 
−
Privacy, trust and security in information systems
 
−
Quality of services
 
−
Integration and interoperability
 
−
Distributed, mobile and open architecture
 
−
Domain-specific information systems
 
−
GIS
 
−
Medical IS
 
−
Legal IS
 
−
Educational IS
 
−
Cyber-Social Systems
 
−
Social computing technologies
 
−
Smart city
 
−
Smart government
 
−
Big data and its analytics
 
−
Big data applications
 
−
Big data integrity
 
−
Big data processing
 
−
Security and privacy in the era of data science and big data
 
−
Big data analysis and semantics
 
−
Data visualisation
 
−
Cognitive Computing
 
−
Cognitive computing techniques using artificial intelligence, sophisticated pattern and speech recognition, and natural language processing
 
−
Machine learning
 
−
Neural networks
 
−
Big data and cognition
 
−
Big data infrastructure for cognition
 
−
Knowledge, ontologies, data and knowledge management
 
−
Knowledge representation
 
−
Ontology engineering
 
−
Enterprise ontology
 
−
Semantic web
 
−
Domain ontologies
 
−
Domain analysis and modeling
 
−
Education and training
 
−
Applications and case studies
 

Revision as of 07:39, 22 February 2018

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Conference Theme

The Intelligent Digital Mesh, “an entwining of people, devices, content and services”, is this year’s cross-cutting theme.

MORE →

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Sosyal Medya Uzmanlığı

Sosyal Medya Uzmanlığı Sertifika Programı: Dijital ve sosyal medya uzmanı olmak isteyenler, marka yöneticileri, girişimciler, kurum çalışanları ve yöneticileri.

Bilgi için →

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MIS Administrative Office

Mr. Yusuf Akkaya, Secretariat of the MIS Department

Room # B267
Phone +90 312 906 1648 / Fax +90 312 906 2961

mis@ybu.edu.tr

Topics of Interest

Concepts, models, methods, tools, and techniques in Enterprise and IS Engineering
  • Business process management
  • Business process modeling, analysis, and engineering
  • Requirements engineering
  • Enterprise architecture and frameworks
  • Model-driven engineering
  • Aspect-oriented analysis and modeling
  • Domain-specific languages and tools
  • Blockchain technology
  • Advanced database systems
  • Reuse
  • Testing and validation
Architectures and quality aspects of information systems
  • Service-oriented IS
  • Multi-agent IS
  • Process-aware IS
  • Cloud-based IS
  • Multi-platform IS
  • Cyber-physical systems
  • Internet of things
  • Privacy, trust and security in information systems
  • Quality of services
  • Integration and interoperability
  • Distributed, mobile and open architecture
Domain-specific information systems
  • GIS
  • Medical IS
  • Legal IS
  • Educational IS
Cyber-Social Systems
  • Social computing technologies
  • Smart city
  • Smart government
Big data and its analytics
  • Big data applications
  • Big data integrity
  • Big data processing
  • Security and privacy in the era of data science and big data
  • Big data analysis and semantics
  • Data visualisation
Cognitive Computing
  • Cognitive computing techniques using artificial intelligence, sophisticated pattern and speech recognition, and natural language processing
  • Machine learning
  • Neural networks
  • Big data and cognition
  • Big data infrastructure for cognition