Automating Exploratory Data Analysis via Machine Learning: An Overview
Tova Milo, Amit Somech
Abstract
Exploratory Data Analysis (EDA) is an important initial step for any knowledge discovery process, in which data scientists interactively explore unfamiliar datasets by issuing a sequence of analysis operations (e.g. filter, aggregation, and visualization). Since EDA is long known as a difficult task, requiring profound analytical skills, experience, and domain knowledge, a plethora of systems have been devised over the last decade in order to facilitate EDA.
Topics & Concepts
Computer scienceExploratory data analysisExploratory analysisVisualizationTask (project management)Process (computing)Domain (mathematical analysis)Data visualizationData explorationFilter (signal processing)Data scienceKnowledge extractionTask analysisHuman–computer interactionMachine learningArtificial intelligenceSoftware engineeringData miningProgramming languageEngineeringSystems engineeringMathematicsComputer visionMathematical analysisData Stream Mining TechniquesData Mining Algorithms and ApplicationsMachine Learning and Data Classification