This report documents the programme and the outcomes of Dagstuhl Seminar 11201 "Constraint Programming meets Machine Learning and Data Mining". Our starting point in this seminar was that machine learning and data mining have developed largely independently from constraint programming till now, but that it is increasingly becoming clear that there are many opportunities for interactions between these areas: on the one hand, data mining and machine learning can be used to improve constraint solving; on the other hand, constraint solving can be used in data mining in machine learning. This seminar brought together prominent researchers from both communities to discuss these opportunities
While constraints are ubiquitous in artificial intelligence and constraints are also commonly used i...
We introduce MiningZinc, a declarative framework for constraint-based data mining. MiningZinc consis...
The relationship between constraint-based mining and constraint programming is explored by showing h...
This report documents the program and the outcomes of Dagstuhl Seminar 14411 "Constraints, Optimizat...
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...
This report documents the program and the outcomes of Dagstuhl Seminar 14411 “Constraints, Optimizat...
Today there is only little support for developing software that incorporates a machine learning or a...
Despite the popularity of machine learning and data mining today, it remains challenging to develop ...
Nectar Papers Track Acceptance rate 25%Machine learning and data mining have become aware that using...
In this talk I shall explore the relationship between constraint-based mining and constraint program...
To use constraint programming, one needs to formulate a model that consists of a set of constraints....
This paper provides an overview of the current state-of-the-art on using constraints in knowledge di...
In industry, society, and science, advanced software is used for planning, scheduling, and allocati...
While constraints are ubiquitous in artificial intelligence and constraints are also commonly used i...
While constraints are ubiquitous in artificial intelligence and constraints are also commonly used i...
We introduce MiningZinc, a declarative framework for constraint-based data mining. MiningZinc consis...
The relationship between constraint-based mining and constraint programming is explored by showing h...
This report documents the program and the outcomes of Dagstuhl Seminar 14411 "Constraints, Optimizat...
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...
This report documents the program and the outcomes of Dagstuhl Seminar 14411 “Constraints, Optimizat...
Today there is only little support for developing software that incorporates a machine learning or a...
Despite the popularity of machine learning and data mining today, it remains challenging to develop ...
Nectar Papers Track Acceptance rate 25%Machine learning and data mining have become aware that using...
In this talk I shall explore the relationship between constraint-based mining and constraint program...
To use constraint programming, one needs to formulate a model that consists of a set of constraints....
This paper provides an overview of the current state-of-the-art on using constraints in knowledge di...
In industry, society, and science, advanced software is used for planning, scheduling, and allocati...
While constraints are ubiquitous in artificial intelligence and constraints are also commonly used i...
While constraints are ubiquitous in artificial intelligence and constraints are also commonly used i...
We introduce MiningZinc, a declarative framework for constraint-based data mining. MiningZinc consis...
The relationship between constraint-based mining and constraint programming is explored by showing h...