Accident Analysis by Using Data Mining Techniques
Master's Thesis from the year 2017 in the subject Computer Sciences - Industry 4.0, grade: 5.0/5.0, , course: Computer Science and Engineering, language: English, abstract: Accident data analysis is one of the prime interests in the present era. Analysis of accident is very essential because it can expose the relationship between the different types of attributes that commit to an accident. Road, traffic and airplane accident data have different nature in comparison to other real world data as accidents are uncertain. Analyzing diverse accident dataset can provide the information about the contribution of these attributes which can be utilize…
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Produktdetails
- ISBN: 978-3-668-61308-9
- EAN: 9783668613089
- Produktnummer: 25773430
- Verlag: Grin Verlag
- Sprache: Englisch
- Erscheinungsjahr: 2018
- Seitenangabe: 84 S.
- Masse: H21.1 cm x B14.9 cm x D1.0 cm 135 g
- Auflage: 1. Auflage
- Abbildungen: Paperback
- Gewicht: 135
Über den Autor
Prayag Tiwari is working as a Research Fellow at University of Padova, Italy. His research areas focus on Machine Learning, Deep Learning, IoT, Image Processing, Data Warehousing etc. He received his MS from NUST MISIS, Moscow. He worked also as a Research Assistant in NUST MISIS as well he has Teaching and Industrial work experience. He has several publications in Journal, Book Series and Conferences of IEEE, Springer, Elsevier, Wiley, IGI-Global etc..
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