What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Operating system
- The Internet
Tharam S. Dillon focuses on Artificial intelligence, Artificial neural network, Data mining, Fuzzy logic and Machine learning.
His Artificial intelligence study combines topics from a wide range of disciplines, such as Domain and Natural language processing.
His study looks at the relationship between Artificial neural network and fields such as Traffic generation model, as well as how they intersect with chemical problems.
His Data mining research incorporates elements of Correctness, Theoretical computer science and Set.
In his study, which falls under the umbrella issue of Fuzzy logic, Ontology is strongly linked to Knowledge management.
His studies in Ontology integrate themes in fields like Software engineering, Domain knowledge and Software, Software development.
His most cited work include:
- Cloud Computing: Issues and Challenges (811 citations)
- On the Move to Meaningful Internet Systems: Otm 2010 (414 citations)
- Electricity price short-term forecasting using artificial neural networks (365 citations)
What are the main themes of his work throughout his whole career to date?
Tharam S. Dillon spends much of his time researching Artificial intelligence, Ontology, Data mining, World Wide Web and The Internet.
His Artificial intelligence study integrates concerns from other disciplines, such as Machine learning and Natural language processing.
Ontology is a subfield of Information retrieval that Tharam S. Dillon studies.
Tharam S. Dillon is involved in the study of Data mining that focuses on Association rule learning in particular.
His work in Web service and Semantic Web are all subfields of World Wide Web research.
The concepts of his The Internet study are interwoven with issues in Computer network and Distributed computing.
He most often published in these fields:
- Artificial intelligence (12.91%)
- Ontology (11.49%)
- Data mining (11.49%)
What were the highlights of his more recent work (between 2009-2021)?
- Artificial intelligence (12.91%)
- Cloud computing (3.28%)
- The Internet (10.61%)
In recent papers he was focusing on the following fields of study:
Tharam S. Dillon mainly investigates Artificial intelligence, Cloud computing, The Internet, Data mining and World Wide Web.
His Artificial intelligence study focuses on Artificial neural network in particular.
His Cloud computing study combines topics in areas such as Computer security, Data as a service, Service and Data science.
His studies deal with areas such as Information system and Library science as well as The Internet.
As part of the same scientific family, he usually focuses on World Wide Web, concentrating on Ontology and intersecting with Access control and Knowledge management.
The various areas that he examines in his Machine learning study include New product development, Data modeling and Fuzzy logic.
Between 2009 and 2021, his most popular works were:
- Cloud Computing: Issues and Challenges (811 citations)
- On the Move to Meaningful Internet Systems: Otm 2010 (414 citations)
- The New Frontier of Smart Grids (258 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Operating system
- The Internet
His primary areas of study are Cloud computing, Artificial intelligence, Machine learning, Artificial neural network and The Internet.
His research in Cloud computing intersects with topics in Computer security, World Wide Web, Service and Data science.
His research integrates issues of Grid computing and Information system, Management information systems in his study of World Wide Web.
His Artificial intelligence study incorporates themes from Multiple correlation, Regression analysis and Pattern recognition.
His work carried out in the field of Machine learning brings together such families of science as New product development and Fuzzy logic.
His Artificial neural network research includes themes of Exponential smoothing, Traffic generation model, Data mining and Data modeling.
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