Alexandre ChansonUniversity of Tours | UFR · Département d'Informatique
Alexandre Chanson
Doctor of Engineering
About
9
Publications
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21
Citations
Introduction
Skills and Expertise
Education
September 2018 - July 2020
September 2015 - July 2018
Publications
Publications (9)
Exploratory Data Analysis (EDA) is the interactive process of gaining insights from a dataset. Comparisons are popular insights that can be specified with comparison queries, i.e., specifications of the comparison of subsets of data. In this work, we consider the problem of automatically computing sequences of comparison queries that are coherent,...
Post-hoc explanation aims at defining a simple local surrogate model to shed light on a prediction produced by a complex, generally black-box, model. In the general context of classification, it has been shown that local surrogates may not always be able to capture a local explanation, i.e. for a specific instance prediction, but rather depict more...
This work addresses the problem of recommending lifelong pathways, i.e., sequences of actions pertaining to health, social or professional aspects, for fulfilling a personal lifelong project. This problem raises some specific challenges, since the recommendation process is constrained by the user profile, the time they can devote to the actions in...
This paper introduces the Traveling Analyst Problem (TAP), an original strongly NP-hard problem where an automated algorithm assists an analyst to explore a dataset, by suggesting the most interesting and coherent set of queries that are estimated to be completed under a time constraint. We motivate the problem, study its complexity, propose a simp...
This paper addresses the problem of defining a subjective interestingness measure for BI exploration. Such a measure involves prior modeling of the belief of the user. The complexity of this problem lies in the impossibility to ask the user about the degree of belief in each element composing their knowledge prior to the writing of a query. To this...
This paper addresses the long-term problem of defining a subjective interestingness measure for BI exploration. Such a measure involves prior modeling of the belief of the user. The complexity of this problem lies in the impossibility to ask the user about the degree of belief in each element composing their knowledge prior to the writing of a quer...