An inductive database allows one to query not only the data but also the patterns of interest. A novel framework, called RDM, for inductive databases is presented. It is grounded in constraint logic programming. RDM provides a small but powerful set of built-in constraints to query patterns. It is also embedded in the programming language Prolog. In this paper, the semantics of RDM is defined and a solver is presented. The resulting query language allows us to declaratively specify the patterns of interest, the solver then takes care of the procedural aspects.status: publishe
Machine learning and data mining have become aware that using constraints when learning patterns and...
The overall goal of this paper is to devise a flexible and declarative query language for specifying...
The phenomenal growth of Information Technology requires us to elicit, store and maintain huge volum...
© Springer-Verlag Berlin Heidelberg 2000. A novel query language for database mining, called RDM, is...
This book is about inductive databases and constraint-based data mining, emerging research topics ly...
In this talk I shall explore the relationship between constraint-based mining and constraint program...
In this paper, we discuss the main problems of inductive query languages and optimisation issues. We...
Abstract. Recently inductive databases (IDBs) have been proposed to afford the problem of knowledge ...
Abstract. In this paper we present ConQueSt, a constraint based querying system devised with the aim...
Rapid growth in the automation of business transactions has lead to an explosion in the size of data...
In this paper, we present a theoretical foundation for querying inductive databases, which can accom...
In this paper, we present a theoretical foundation for querying inductive databases, which can accom...
Summary. Many Data Mining algorithms enable to extract different types of patterns from data (e.g., ...
The field of data mining has become accustomed to specifying constraints on patterns of interest. A ...
Data mining (as well as machine learning) are well-established fields of research that are concerned...
Machine learning and data mining have become aware that using constraints when learning patterns and...
The overall goal of this paper is to devise a flexible and declarative query language for specifying...
The phenomenal growth of Information Technology requires us to elicit, store and maintain huge volum...
© Springer-Verlag Berlin Heidelberg 2000. A novel query language for database mining, called RDM, is...
This book is about inductive databases and constraint-based data mining, emerging research topics ly...
In this talk I shall explore the relationship between constraint-based mining and constraint program...
In this paper, we discuss the main problems of inductive query languages and optimisation issues. We...
Abstract. Recently inductive databases (IDBs) have been proposed to afford the problem of knowledge ...
Abstract. In this paper we present ConQueSt, a constraint based querying system devised with the aim...
Rapid growth in the automation of business transactions has lead to an explosion in the size of data...
In this paper, we present a theoretical foundation for querying inductive databases, which can accom...
In this paper, we present a theoretical foundation for querying inductive databases, which can accom...
Summary. Many Data Mining algorithms enable to extract different types of patterns from data (e.g., ...
The field of data mining has become accustomed to specifying constraints on patterns of interest. A ...
Data mining (as well as machine learning) are well-established fields of research that are concerned...
Machine learning and data mining have become aware that using constraints when learning patterns and...
The overall goal of this paper is to devise a flexible and declarative query language for specifying...
The phenomenal growth of Information Technology requires us to elicit, store and maintain huge volum...