What is he best known for?
The fields of study he is best known for:
- Database
- Artificial intelligence
- Programming language
Jan Chomicki mainly investigates Data integrity, Relational database, Database, Theoretical computer science and Data mining.
His research investigates the connection with Data integrity and areas like Information retrieval which intersect with concerns in Data consistency.
Jan Chomicki studies Database theory which is a part of Relational database.
His research investigates the link between Database and topics such as Logic programming that cross with problems in Query expansion.
Jan Chomicki has included themes like Semantics and Active database in his Theoretical computer science study.
His Data mining research includes elements of Tuple and Logical framework.
His most cited work include:
- Consistent query answers in inconsistent databases (763 citations)
- Skyline with presorting (660 citations)
- Preference formulas in relational queries (433 citations)
What are the main themes of his work throughout his whole career to date?
Theoretical computer science, Information retrieval, Data integrity, Database and Relational database are his primary areas of study.
The various areas that Jan Chomicki examines in his Theoretical computer science study include Tuple, Relation, Temporal database, Data mining and Spatiotemporal database.
The study incorporates disciplines such as SQL, Temporal logic, Functional dependency, Conjunctive query and Relational algebra in addition to Data integrity.
His study in Database is interdisciplinary in nature, drawing from both Programming language, Semantics and Set.
He does research in Relational database, focusing on Relational model specifically.
His Query optimization study combines topics in areas such as Query by Example and View.
He most often published in these fields:
- Theoretical computer science (32.19%)
- Information retrieval (26.03%)
- Data integrity (24.66%)
What were the highlights of his more recent work (between 2006-2021)?
- Information retrieval (26.03%)
- Theoretical computer science (32.19%)
- Set (15.07%)
In recent papers he was focusing on the following fields of study:
Jan Chomicki mainly focuses on Information retrieval, Theoretical computer science, Set, Database and Data mining.
His work in Information retrieval tackles topics such as Data integrity which are related to areas like Conjunctive query.
His Theoretical computer science research integrates issues from Consistency, Tuple and Relation.
His research in Set intersects with topics in Hypergraph, Functional dependency and Polynomial.
His biological study spans a wide range of topics, including Probabilistic logic and Semantics.
His Data mining research focuses on Skyline in particular.
Between 2006 and 2021, his most popular works were:
- Consistent query answering: five easy pieces (188 citations)
- On the semantics and evaluation of top-k queries in probabilistic databases (73 citations)
- Skyline queries, front and back (70 citations)
In his most recent research, the most cited papers focused on:
- Database
- Programming language
- Artificial intelligence
His scientific interests lie mostly in Data mining, Information retrieval, Theoretical computer science, Relational database and Tuple.
His research integrates issues of Preference relation and Reduction in his study of Data mining.
The Information retrieval study combines topics in areas such as Data integrity and Sargable.
His Data integrity research includes themes of View, Database query, Conjunctive query and World Wide Web.
His studies deal with areas such as Mathematical economics and Inductive logic programming as well as Relational database.
The study incorporates disciplines such as Functional dependency, Logical consequence, SQL and Relation in addition to Tuple.
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