The post-genomic era showed up a wide range of new challenging issues for the areas of knowledge discovery and intelligent information management. Among them, the discovery of complex pattern repetitions in string databases plays an important role, specifically in those contexts where even what are to be considered the interesting pattern classes is unknown. This paper provides a contribution in this precise setting, proposing a novel approach, based on disjunctive logic programming extended with several advanced features, for discovering interesting pattern classes from a given data se
The discovery of patterns plays an important role in data mining. A pattern can be any type of regul...
This paper surveys approaches to the discovery of patterns in biosequences and places these approach...
The phenomenal growth of Information Technology requires us to elicit, store and maintain huge volum...
The post-genomic era showed up a wide range of new challenging issues for the areas of knowledge dis...
Abstract. Finding a good pattern which discriminates one set of strings from the other set is a crit...
New York University* In this paper, we study the problem of discovering interesting patterns in larg...
Future research directions in Knowledge Discovery in Databases (KDD) include the ability to extract ...
Traditional pattern discovery approaches permit to identify frequent patterns expressed in form of c...
In this paper, we study the problem of discovering interesting patterns in large volumes of data. Pa...
An important subtask of the pattern discovery process is pattern matching, where the pattern sought ...
An inductive database is a database that contains not only data but also patterns. Inductive databas...
Abstract. Many application domains make use of specific data structures such as sequences and graphs...
International audience—Sequential pattern mining under various constraints is a challenging data min...
Nowadays, relational databases have become the de facto standard to store large quantities of data. ...
We investigate in this paper the problem of mining disjunctive emerging patterns in high-dimensional...
The discovery of patterns plays an important role in data mining. A pattern can be any type of regul...
This paper surveys approaches to the discovery of patterns in biosequences and places these approach...
The phenomenal growth of Information Technology requires us to elicit, store and maintain huge volum...
The post-genomic era showed up a wide range of new challenging issues for the areas of knowledge dis...
Abstract. Finding a good pattern which discriminates one set of strings from the other set is a crit...
New York University* In this paper, we study the problem of discovering interesting patterns in larg...
Future research directions in Knowledge Discovery in Databases (KDD) include the ability to extract ...
Traditional pattern discovery approaches permit to identify frequent patterns expressed in form of c...
In this paper, we study the problem of discovering interesting patterns in large volumes of data. Pa...
An important subtask of the pattern discovery process is pattern matching, where the pattern sought ...
An inductive database is a database that contains not only data but also patterns. Inductive databas...
Abstract. Many application domains make use of specific data structures such as sequences and graphs...
International audience—Sequential pattern mining under various constraints is a challenging data min...
Nowadays, relational databases have become the de facto standard to store large quantities of data. ...
We investigate in this paper the problem of mining disjunctive emerging patterns in high-dimensional...
The discovery of patterns plays an important role in data mining. A pattern can be any type of regul...
This paper surveys approaches to the discovery of patterns in biosequences and places these approach...
The phenomenal growth of Information Technology requires us to elicit, store and maintain huge volum...