Condensed representations of pattern collections have been recognized to be important building blocks of inductive databases, a promising theoretical framework for data mining, and recently they have been studied actively. However, there has not been much research on how condensed representations should actually be represented. In this paper we study how..
By treating patterns as statements in a two-dimensional language, it is possible to apply linguistic...
International audienceCondensed representations of patterns are at the core of many data mining work...
incollectionThis chapter describes several methods of word pattern matching that are based on the us...
International audiencePattern condensed representations are an important concept in inductive databa...
Solving inductive queries which have to return complete collections of patterns satisfying a given p...
We define the pattern expressions as an extension of both regular expressions and patterns. We prove...
The study on the use of association rules for the purpose of classification gave rise to a new field...
Most documents written by humans are not just a collection of words, sentences and paragraphs combin...
International audiencePatterns are at the core of the discovery of a lot of knowledge from data but ...
Our goal is to design and develop a principled approach to generic constraint-based pattern mining o...
When mining frequent Datalog queries, many queries will cover the same examples; i.e. they will be e...
When mining frequent Datalog queries, many queries will cover the same examples; i.e., they will be ...
This thesis is divided into a theoretical part, aimed at developing statements around the newly intr...
Given a large set of data, a common data mining problem is to extract the frequent patterns occurrin...
Data mining algorithms are now able to efficiently deal with huge amount of data. Various kinds of p...
By treating patterns as statements in a two-dimensional language, it is possible to apply linguistic...
International audienceCondensed representations of patterns are at the core of many data mining work...
incollectionThis chapter describes several methods of word pattern matching that are based on the us...
International audiencePattern condensed representations are an important concept in inductive databa...
Solving inductive queries which have to return complete collections of patterns satisfying a given p...
We define the pattern expressions as an extension of both regular expressions and patterns. We prove...
The study on the use of association rules for the purpose of classification gave rise to a new field...
Most documents written by humans are not just a collection of words, sentences and paragraphs combin...
International audiencePatterns are at the core of the discovery of a lot of knowledge from data but ...
Our goal is to design and develop a principled approach to generic constraint-based pattern mining o...
When mining frequent Datalog queries, many queries will cover the same examples; i.e. they will be e...
When mining frequent Datalog queries, many queries will cover the same examples; i.e., they will be ...
This thesis is divided into a theoretical part, aimed at developing statements around the newly intr...
Given a large set of data, a common data mining problem is to extract the frequent patterns occurrin...
Data mining algorithms are now able to efficiently deal with huge amount of data. Various kinds of p...
By treating patterns as statements in a two-dimensional language, it is possible to apply linguistic...
International audienceCondensed representations of patterns are at the core of many data mining work...
incollectionThis chapter describes several methods of word pattern matching that are based on the us...