Publication

Explore the past to improve the Future: How can airlines benefit from historical data?

Niklaus Eggenberg
2009
Poster talk

Abstract

Airlines schedules are built such as to maximize expected profit. Such schedules turn out to be more sensitive to delay propagation and have lower on-time performance. Robust schedules are thus used instead. In this paper, we compare two different approaches to derive robust schedules, being either based on historical data or not. We show how the way historical data is considered affects the solutions quality.

Official source

https://infoscience.epfl.ch/record/152435?ln=en

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The power of adaptivity in source identification with time queries on the path

Patrick Thiran, Gergely Odor, Victor Cyril L Lecomte

We study the problem of identifying the source of a stochastic diffusion process spreading on a graph based on the arrival times of the diffusion at a few queried nodes. In a graph

G=(V,E)

, an unknown source node

v^* \in V

is drawn uniformly at random, ...

2022

Explore the past to improve the Future: How can airlines benefit from historical data?

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Chat with Graph Search

A Delay and Power Efficient Voltage Level Shifter with Low Leakage Power

A Practical Influence Approximation for Privacy-Preserving Data Filtering in Federated Learning

The power of adaptivity in source identification with time queries on the path

A Practical Influence Approximation for Privacy-Preserving Data Filtering in Federated Learning

A Delay and Power Efficient Voltage Level Shifter with Low Leakage Power

The power of adaptivity in source identification with time queries on the path