Author
Katia Abbaci
Bio: Katia Abbaci is an academic researcher. The author has an hindex of 1, co-authored 1 publications receiving 3 citations.
Papers
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01 Jan 2009
TL;DR: A generalization of similarity skylines which is able to deal with uncertain data described in terms of interval or fuzzy attribute values and is applied to similarity search over uncertain archaeological data.
Abstract: Conventional approaches to similarity search and case-based retrieval, such as nearest neighbor search, require the specification of a global similarity measure which is typically expressed as an aggregation of local measures pertaining to different aspects of a case. Since the proper aggregation of local measures is often quite difficult, we propose a novel concept called similarity skyline. Roughly speaking, the similarity skyline of a case base is defined by the subset of cases that are most similar to a given query in a Pareto sense. Thus, the idea is to proceed from a d-dimensional comparison between cases in terms of d(local) distance measures and to identify those cases that are maximally similar in the sense of the Pareto dominance relation [2]. To refine the retrieval result, we propose a method for computing maximally diverse subsets of a similarity skyline. Moreover, we propose a generalization of similarity skylines which is able to deal with uncertain data described in terms of interval or fuzzy attribute values. The method is applied to similarity search over uncertain archaeological data.
15 citations
Journal Article•
TL;DR: In this article, the authors discuss the handling of bipolar queries in the framework of possibility theory, i.e. queries involving negative and positive preferences, in the context of flexible queries.
Abstract: The paper advocates the interest of distinguishing between negative and positive preferences in the processing of flexible queries. Negative preferences express what is (more or less, or completely) impossible or undesirable, and by complementation state flexible constraints restricting the possible or acceptable values. Positive preferences are not compulsory, but rather express wishes; they state what attribute values would be really satisfactory. The paper discusses the handling of bipolar queries, i.e. queries involving negative and positive preferences, in the framework of possibility theory. Both ordinary queries expressed in terms of requirements, and case-based queries referring to examples, are considered in this perspective.
4 citations