Data Case Introduction

Valar Morghulis!

Did you know that not all ravens made it from King's landing to the North? And do you know why? You could actually help the masters predict how many of the ravens they send are not going to make it.

Sending ravens is one of the most fundamental parameters in mobile communications engineering. For land-based mobile communications, the received raven variation is primarily the result of multipath fading caused by obstacles such as buildings (or clutter) or terrain irregularities; the distance between link endpoints; predatory animals, and interference among multiple transmissions, for example, wars. This inevitable raven variation is the cause of communication dropping, one of the most significant qualities of service measure in operative communication. For this reason, various techniques and schemes are employed in the planning, design, and optimization of raven networks to combat these propagation effects. This normally covers the network physical configuration which includes all aspects of network infrastructure deployment such as locations of base nests; additional food; sometimes guards, etc. A typical example of these schemes and techniques is the use of models for flight prediction based on measured data.

 

 

Goal

Based on one-month data with flight fails, the participants have to make time-series analysis and predict the future amount of fails.

Details

More information about the Telenor case can be found at www.datasciencesociety.net/the-telenor-case-flight-failures-kings-landing-to-the-north/