What is he best known for?
The fields of study Andreas Hotho is best known for:
- Semantic Web
- Semantic analytics
- World Wide Web
Andreas Hotho performs multidisciplinary study in World Wide Web and Semantic Web Stack in his work.
As part of his studies on Semantic Web Stack, he often connects relevant subjects like Information retrieval.
His Information retrieval study frequently links to adjacent areas such as Folksonomy.
With his scientific publications, his incorporates both Folksonomy and World Wide Web.
In his works, Andreas Hotho performs multidisciplinary study on Data mining and Data science.
He connects Data science with Data mining in his research.
Andreas Hotho conducts interdisciplinary study in the fields of Semantic Web and Social Semantic Web through his works.
Andreas Hotho combines Social Semantic Web and Semantic Web in his research.
His Programming language study frequently intersects with other fields, such as Set (abstract data type).
His most cited work include:
- Information Retrieval in Folksonomies: Search and Ranking (733 citations)
- Learning Concept Hierarchies from Text Corpora using Formal Concept Analysis (422 citations)
- Tag Recommendations in Folksonomies (380 citations)
What are the main themes of his work throughout his whole career to date
His Semantic Web study falls within the topics of Semantic Web Stack and Social Semantic Web.
He combines Social Semantic Web and Semantic Web in his research.
He undertakes multidisciplinary investigations into World Wide Web and Semantic Web Stack in his work.
His research on Information retrieval often connects related topics like Folksonomy.
While working on this project, he studies both Folksonomy and World Wide Web.
His studies link Cluster analysis with Artificial intelligence.
His Cluster analysis study frequently draws connections between adjacent fields such as Artificial intelligence.
He applies his multidisciplinary studies on Data mining and Machine learning in his research.
His multidisciplinary approach integrates Machine learning and Data mining in his work.
Andreas Hotho most often published in these fields:
- World Wide Web (56.79%)
- Information retrieval (49.38%)
- Artificial intelligence (46.91%)
What were the highlights of his more recent work (between 2018-2021)?
- Artificial intelligence (88.89%)
- Data mining (55.56%)
- Machine learning (44.44%)
In recent works Andreas Hotho was focusing on the following fields of study:
Andreas Hotho bridges between several scientific fields such as Set (abstract data type), Preprocessor and Process (computing) in his study of Programming language.
His Programming language research extends to the thematically linked field of Set (abstract data type).
In his works, he undertakes multidisciplinary study on Process (computing) and Operating system.
His work blends Operating system and Preprocessor studies together.
Andreas Hotho combines Artificial intelligence and Information retrieval in his research.
He integrates several fields in his works, including Information retrieval and Artificial intelligence.
Andreas Hotho integrates Data mining with Data set in his study.
He carries out multidisciplinary research, doing studies in Data set and Data mining.
His research ties Categorical variable and Machine learning together.
Between 2018 and 2021, his most popular works were:
- A survey of network-based intrusion detection data sets (325 citations)
- Flow-based network traffic generation using Generative Adversarial Networks (88 citations)
- Emote-Controlled (19 citations)
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