Nicolas Labroche
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Matheuristics to solve the Traveling Analyst Problem Open
Exploratory Data Analysis (EDA), the notoriously tedious task of interactively analyzing datasets to gain insights, has attracted a lot of attention lately in the data management community. We recently proposed a formal definition of EDA a…
Pairwise loss regularization for recommendations explanation Open
International audience
FrenchPiezo: the French mainland groundwater level multivariate time series Open
FrenchPiezo is the French mainland multivariate time series dataset of groundwater levels (a.k.a piezometric levels) across the French mainland. The dataset contains 1026 multivariate time series, each made of 3 dimensions which are: the p…
FrenchPiezo: the French mainland groundwater level multivariate time series Open
FrenchPiezo is the French mainland multivariate time series dataset of groundwater levels (a.k.a piezometric levels) across the French mainland. The dataset contains 1026 multivariate time series, each made of 3 dimensions which are: the p…
Experimental study of time series forecasting methods for groundwater level prediction Open
International audience
An enhanced adaptive geometry evolutionary algorithm using stochastic diversity mechanism Open
International audience
A new reference-based algorithm based on non-euclidean geometry for multi-stakeholder media planning Open
International audience
Automatic generation of comparison notebooks for interactive data exploration Open
We consider the problem of generating SQL notebooks of comparison queries for Exploratory Data Analysis (EDA). A comparison query allows to find insights in a dataset by specifying the comparison of subsets of data. In this paper, we study…
Towards Local Post-hoc Recommender Systems Explanations Open
International audience
MTCopula: Synthetic Complex Data Generation Using Copula Open
International audience
To Be or Not To Be a Verbal Multiword Expression: A Quest for Discriminating Features Open
Automatic identification of mutiword expressions (MWEs) is a pre-requisite for semantically-oriented downstream applications. This task is challenging because MWEs, especially verbal ones (VMWEs), exhibit surface variability. However, this…
Causality based explanations in multi-stakeholder recommendations Open
International audience
The Traveling Analyst Problem: Definition and Preliminary Study Open
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 e…
A Subjective Interestingness measure for Business Intelligence explorations Open
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 use…
Profiling user belief in BI exploration for measuring subjective interestingness Open
International audience
Towards a benefit-based optimizer for Interactive Data Analysis Open
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Active seed selection for constrained clustering Open
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Author name extraction in blog web pages: a machine learning approach Open
International audience