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Project: Visualization of Streaming Event Sequences

Description

Discrete multivariate event sequences can be found in domains ranging from healthcare to transportation. Discrete multivariate event sequences are discrete records of a state with multiple attributes that form a chronologically ordered sequence. For example, consider the medication intake of a patient. In this example, each medication intake is a discrete event. Each medication event has multiple attributes (multivariate), e.g. the doctor administering the medication and the location of the patient. All these events form a sequences of the medication intake per patient. This is only a simple example with two attributes, but in reality there can be tenths or hundreds of attributes. For analysis it is necessary to examine perspectives of different attributes (for example, sequences about medication per patient or sequences about medication given per doctor). My research focuses on analyzing and comparing these discrete multivariate sequences, you can use this as a starting point of your master project. Two proposals for master projects are described below.

 

Master Project: Streaming of Multivariate Event Sequences

This master project is about the visualization and possibly recognizing patterns in streaming data of multivariate event sequences, taking into account the domain knowledge of the user. If new data keeps coming in, how can you direct the user to interesting events and how do you aggregate and visualize the historical data? You can choose a multivariate event sequence data set based on the domain of your interest and availability.

 If you have any questions feel free to contact me and we can have a talk about it. 

Details

Student

SW

Sietske Wijffels

Supervisor

Sanne van der Linden

Secondary supervisor

Stef van den Elzen