1,721,015 research outputs found
From Cases to Classes : Focusing on Abstraction in Case-Based Reasoning.
No full textion in Case-Based Reasoning. Isabelle BICHINDARITZ LIAP-5, UFR de Math'ematiques et Informatique 45 rue des Saints-P`eres 75006 Paris FRANCE tel : (+33) 1 44 55 35 63 fax : (+33) 1 44 55 35 36 email : [email protected] Introduction Object-oriented methodology (OOM) and case-based reasoning methodology (CBR) have close roots in the 70's: frames for OOM [7] and scripts for CBR [10]. Although these methodologies have evolved independently since then, it is interesting to study how they have developped, and to compare them. So this paper studies the main characteristics of these methodologies, presents a CBR system built following OOM, and the advantages gained. A key concept in this article is that of abstraction. It can be defined as the fact of considering separately a representation element (whether an attribute or a relation or a behaviour), or a subset of the representation elements available, by focusing especially on it and by ignoring the other ones. It is also the re..
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Data Mining Methods for Case-Based Reasoning in Health Sciences
No full textAbstract. Case-based reasoning (CBR) systems often refer to diverse data mining functionalities and algorithms. This article locates examples, many from health sciences domains, mapping data mining functionalities to CBR tasks and steps, such as case mining, memory organization, case base reduction, generalized case mining, indexing, and weight mining. Data mining in CBR focuses greatly on incremental mining for memory structures and organization with the goal of improving performance of retrieval, reuse, revise, and retain steps. Researchers are aiming at the ideal memory as described in the theory of the dynamic memory, which follows a cognitive model, while also improving performance and accuracy in retrieve, reuse, revise, and retain steps. Several areas of potential crossfertilization between CBR and data mining are also proposed
Memory Organization As the Missing Link Between Case Based Reasoning and Information Retrieval in Biomedicine
No full textAbstract. Mémoire proposes a general framework for reasoning from cases in biology and medicine. Part of this project is to propose a memory organization capable of handling large cases and case bases as occur in biomedical domains. This article presents the essential principles for an efficient memory organization based on pertinent work in information retrieval. Information retrieval systems have been able to scale up to terabyte of data taking advantage of large databases research to build Internet search engines. They search for pertinent documents to answer a query using term-based ranking and/or global ranking schemes. Similarly, CBR systems search for pertinent cases using a scoring function for ranking the cases. Mémoire proposes a memory organization based on inverted indexes, which may be powered by databases to search and rank efficiently through large case bases. It can be seen as a first step toward largescale CBR systems, and in addition provides a framework for tight cooperation between CBR and IR.
- …
