Add to ORKGDeciding whether something is interesting or not is of central importance in automated mathematical discovery, as it helps determine both the search space and search strategy for finding and evaluating concepts and conjectures
Where do mathematical insights come from? According to classic accounts, creativity is a multi-stage...
Rule Discovery is an important technique for mining knowledge from large databases. Use of objective...
International audienceThere is a growing interest in applying mathematical theories and methods from...
We survey five automated discovery programs working in mathematics, by looking in detail at the disc...
We survey five mathematical discovery programs by looking in detail at the discovery processes they ...
Knowledge discovery in databases, also known as data mining, is the ecient discovery of previously u...
One of the central problems in the field of knowledge discovery is the development of good measures ...
Knowledge discovery in databases, or data mining, is the process of finding interesting patterns in ...
Although cooperation and collective efforts have always played an important role in the process of s...
Interestingness measures play an important role in data mining, regardless of the kind of patterns b...
Knowledge discovery is the process of discovering interesting, non-trivial patterns in data [l]. In ...
Discovery and Verification. Philosophers have frequently distinguished mathematics from the physical...
Machine discovery is a new area of artificial intelligence, dealing with computer systems which make...
Knowledge Discovery in Databases (KDD) is the process of extracting previously unknown, hidden and i...
Assessing rules with interestingness measures is the cornerstone of successful applications of assoc...
Where do mathematical insights come from? According to classic accounts, creativity is a multi-stage...
Rule Discovery is an important technique for mining knowledge from large databases. Use of objective...
International audienceThere is a growing interest in applying mathematical theories and methods from...
We survey five automated discovery programs working in mathematics, by looking in detail at the disc...
We survey five mathematical discovery programs by looking in detail at the discovery processes they ...
Knowledge discovery in databases, also known as data mining, is the ecient discovery of previously u...
One of the central problems in the field of knowledge discovery is the development of good measures ...
Knowledge discovery in databases, or data mining, is the process of finding interesting patterns in ...
Although cooperation and collective efforts have always played an important role in the process of s...
Interestingness measures play an important role in data mining, regardless of the kind of patterns b...
Knowledge discovery is the process of discovering interesting, non-trivial patterns in data [l]. In ...
Discovery and Verification. Philosophers have frequently distinguished mathematics from the physical...
Machine discovery is a new area of artificial intelligence, dealing with computer systems which make...
Knowledge Discovery in Databases (KDD) is the process of extracting previously unknown, hidden and i...
Assessing rules with interestingness measures is the cornerstone of successful applications of assoc...
Where do mathematical insights come from? According to classic accounts, creativity is a multi-stage...
Rule Discovery is an important technique for mining knowledge from large databases. Use of objective...
International audienceThere is a growing interest in applying mathematical theories and methods from...