Abstract

International audience; In this paper we review the activities of Air Tra c Control and Management (ATC/M) and expose scenarios that illustrate current and future challenges in this domain. In particular we look at those challenges that can be tackled with the use of immersion. We introduce the concepts of an immersive Remote Tower and Collaborative Immersive Trajectory analysis. These make use of immersive technologies such as Head Mounted Displays (HMDs) or large, tiled displays to immerse users in their tasks, better supporting the management and analysis of the complex data produced in this domain

Abstract

International audience; The main goal of Data Mining is the research of relevant information from a huge volume of data. It is generally achieved either by automatic algorithms or by the visual exploration of data. Thanks to algorithms, an exhaustive set of patterns matching specific measures can be found. But the volume of extracted information can be greater than the volume of initial data. Visual Data Mining allows the specialist to focus on a specific area of data that may describe interesting patterns. However, it is often limited by the difficulty to deal with a great number of multi dimensional data. In this paper, we propose to mix an automatic and a manual method, by driving the automatic extraction using a data scatter plot visualization. This visualization affects the number of rules found and their construction. We illustrate our method on two databases. The first describes one month French air traffic and the second stems from 2012 KDD Cup database.