Abstract. We show how case bases can be compiled into Decision Di-agrams, which represent the cases with reduced redundancy. Numerous computations can be performed efficiently on the Decision Diagrams. The ones we illustrate are: counting characteristics of the case base; comput-ing the distance between a user query and all cases in the case base; and retrieving the k best cases from the case base. Through empirical investigation on four case bases, we confirm that Decision Diagrams are more efficient than a conventional algorithm. Finally, we argue that De-cision Diagrams are also flexible in that they support a wide range of computations, additional to the retrieval of the k nearest neighbours.
Case-based reasoning has considerable potential to model decision support systems for smart agricult...
The usual case-based reasoning approach assumes that for each given problem instance it is necessary...
Case-based computer-aided decision (CB-CAD) systems rely on a database of previously stored, known e...
Abstract. We show how case bases can be compiled into Decision Diagrams, which represent the cases w...
Efficient retrieval algorithms are crucial for experience-based systems. For case-based rea-soning t...
Retrieval of cases is one important step within the case-based reasoning paradigm. We propose an imp...
In this document we show how combining case-based reasoning and knowledge-discovering techniques can...
International audienceThe paper proposes two case-based methods for recommending decisions to users ...
. A set of efficient algorithms for case retrieval from a case base of trees labeled on both nodes a...
this document we show how combining case-based reasoning and knowledgediscovering techniques can hel...
Case-Based Reasoning (CBR) has become a relevant alternative to the classical rule-based approach in...
Case-based reasoning utilizes past experiences as a key data resource for future problem solving and...
As an artificial intelligence technique, case-based reasoning has considerable potential to build in...
Abstract. We present a case-based reasoning technique based on con-ceptual neighborhoods of cases. T...
Some of the issues in case retrieval and maintenance of case-bases are discussed. Conventionally, ne...
Case-based reasoning has considerable potential to model decision support systems for smart agricult...
The usual case-based reasoning approach assumes that for each given problem instance it is necessary...
Case-based computer-aided decision (CB-CAD) systems rely on a database of previously stored, known e...
Abstract. We show how case bases can be compiled into Decision Diagrams, which represent the cases w...
Efficient retrieval algorithms are crucial for experience-based systems. For case-based rea-soning t...
Retrieval of cases is one important step within the case-based reasoning paradigm. We propose an imp...
In this document we show how combining case-based reasoning and knowledge-discovering techniques can...
International audienceThe paper proposes two case-based methods for recommending decisions to users ...
. A set of efficient algorithms for case retrieval from a case base of trees labeled on both nodes a...
this document we show how combining case-based reasoning and knowledgediscovering techniques can hel...
Case-Based Reasoning (CBR) has become a relevant alternative to the classical rule-based approach in...
Case-based reasoning utilizes past experiences as a key data resource for future problem solving and...
As an artificial intelligence technique, case-based reasoning has considerable potential to build in...
Abstract. We present a case-based reasoning technique based on con-ceptual neighborhoods of cases. T...
Some of the issues in case retrieval and maintenance of case-bases are discussed. Conventionally, ne...
Case-based reasoning has considerable potential to model decision support systems for smart agricult...
The usual case-based reasoning approach assumes that for each given problem instance it is necessary...
Case-based computer-aided decision (CB-CAD) systems rely on a database of previously stored, known e...