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Using Information Processing Strategies to Predict Message Level Contagion in Social Media Read chapter Read first chapter

2020 | OriginalPaper | Chapter

A System for User Centered Classification and Ranking of Points of Interest Using Data Mining in Geographical Data Sets

Authors : Maximilian Barta, Dena Farooghi, Dietmar Tutsch

Published in: Advances in Artificial Intelligence, Software and Systems Engineering

Publisher: Springer International Publishing

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Abstract

In this paper we propose a system to automatically extract and categorize points of interest (POIs) out of any given geographical data set. The system is then modified for a user centered approach to work in a web environment. This is done by customizing the order, amount and contents of the previously created categories on a per user basis in real time. The aim of this system is to provide users with a more flexible and less error prone approach to POI data that can then be used in geographical routing and navigation applications, replacing the conventional existing solutions that need to be manually administrated. The generated results are validated using preexisting, manually created, point of interests and their corresponding categories.

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Metadata
Title
A System for User Centered Classification and Ranking of Points of Interest Using Data Mining in Geographical Data Sets
Authors
Maximilian Barta
Dena Farooghi
Dietmar Tutsch
Copyright Year
2020
Book
Advances in Artificial Intelligence, Software and Systems Engineering

Print ISBN: 978-3-030-20453-2

Electronic ISBN: 978-3-030-20454-9

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-20454-9_56

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