Cube query interestingness: Novelty, relevance, peculiarity and surprise
In this paper, we discuss methods to assess the interestingness of a query in an
environment of data cubes. We assume a hierarchical multidimensional database, storing …
environment of data cubes. We assume a hierarchical multidimensional database, storing …
Cube interestingness: Novelty, relevance, peculiarity and surprise
In this paper, we discuss methods to assess the interestingness of a query in an
environment of data cubes. We assume a hierarchical multidimensional database, storing …
environment of data cubes. We assume a hierarchical multidimensional database, storing …
A framework for learning cell interestingness from cube explorations
In this paper, we discuss the problem of organizing the different ways of computing the
interestingness of a particular cell derived from a cube in the context of a hierarchical …
interestingness of a particular cell derived from a cube in the context of a hierarchical …
Profiling user belief in BI exploration for measuring subjective interestingness
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 …
measure for BI exploration. Such a measure involves prior modeling of the belief of the user …
Mining SQL workloads for learning analysis behavior
This paper presents a set of analyses aiming at better understanding the SQLShare
workload Jain et al.(2016) and learning users' analysis behavior. SQLShare is a database …
workload Jain et al.(2016) and learning users' analysis behavior. SQLShare is a database …
Learning analysis patterns using a contextual edit distance
This paper presents a proposal for learning users' behavior patterns when they interactively
analyse data. Users' explorations (sequences of queries) are compared looking for …
analyse data. Users' explorations (sequences of queries) are compared looking for …
Combined Maps as a Tool of Concentration and Visualization of Knowledge in the Logic of Operation of the Intelligent Tutoring Systems
The issue of generalizing and concentrating learning situation data in human learner
interaction with ITS is described. The resolution of this issue is important for making …
interaction with ITS is described. The resolution of this issue is important for making …
Fouille de séquences de mobilité sémantique: sur l'élaboration de mesures pour la comparaison, l'analyse et la découverte de comportements
C Moreau - 2021 - hal.science
" Dites-moi ce que vous avez fait, je vous dirai qui vous êtes''. Cet aphorisme, inspiré du livre
Fondation de Isaac Asimov, interroge sur la prédictibilité et la compréhension actuelle de …
Fondation de Isaac Asimov, interroge sur la prédictibilité et la compréhension actuelle de …
Formation of hypercubes based on data obtained from systems of IoT devices of urban resource networks
Aim: The aim of this work is to construct a system of interrelated procedures that are used in
the formation of data warehouses for information systems in smart cities. Objectives …
the formation of data warehouses for information systems in smart cities. Objectives …
Leveraging users' behavior, intentions and interests for enhancing Exploratory Data Analysis and Data Narration
V Peralta - 2024 - hal.science
Exploratory Data Analysis (EDA) is an analysis technique used for efficiently extracting
knowledge from data even when we do not know exactly what we are looking for. EDA is at …
knowledge from data even when we do not know exactly what we are looking for. EDA is at …