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In this paper, we propose a new algorithm, called ClaSP for mining frequent closed sequential patterns in temporal transaction data. Our algorithm uses several efficient search space pruning methods together with a vertical database layout. Experiments on both synthetic and real datasets show that ClaSP outperforms currently well known state of the art(More)
In this work we propose three methods for obtaining solutions in fuzzy constraint networks and study their application to the problem of ordering fuzzy numbers. The techniques proposed may be classiied as defuzziication functions which are applicable to any set of mutually dependant fuzzy numbers in which the dependence relationships are represented by(More)
− − − − The system consists of a multirobot architecture that gives access to both, an educational and industrial robot, through the Internet, by using advanced mul-timedia and distributed programming tools like Java, Java3D and CORBA. The main effort is focused on the user interface that allows specifying a task into a 3D model and sending commands to the(More)
In the Intensive Care Unit (ICU) domain, temporal evolution of diseases and patients' contextual information are critical pieces of knowledge that must be considered in the design of a diagnosis task. The uncertainty inherent in the description of temporal information associated to diseases requires a temporal representation and reasoning framework. This(More)
Applying Model Based Diagnosis (MBD) techniques in medical domains reveal the need to use deep causal knowledge modelling frameworks as well as temporal management techniques to capture the dynamic component of disease evolution (with the latter being very important in other domains). Despite the intense research activity in the field of Temporal MBD, there(More)
OBJECTIVE The aim of this work is to provide a theoretical framework which is sufficiently expressive to describe temporal evolution of diseases, and also to propose a diagnostic process for building explanations of patient's observed temporal evolution based on these disease descriptions. BACKGROUND Model-based diagnosis (MBD) tackles the problem of(More)
Similarity is an essential concept in case-based reasoning (CBR). In domains in which time plays a relevant role, CBR systems require good temporal similarity measures to compare cases. Temporal cases are traditionally represented by a set of temporal features, defining time series and temporal event sequences. In the particular situation where these(More)
Medical knowledge representation and management is concerned with how to organise the often vague clinical experience of medical staff required for computable models. However, few knowledge management and acquisition tools have entered routine use, since such tools are not perceived by physicians as part of the clinical information process. An attempt to(More)