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Social and Web Intelligence (SAWI)- Dozent/in
- Dr. Pavlina Kröckel
- Angaben
- Seminar
Online
2 SWS, ECTS-Studium, ECTS-Credits: 5, Sprache Englisch, Online – lectures are pre-recorded and will be available via StudOn.
Zeit: Einzeltermin am 4.11.2020 10:00 - 11:00, Zoom-Meeting; Bemerkung zu Zeit und Ort: Registration is mandatory. Registration will be open from end of September until October 23, 2020 via StudOn.
- Voraussetzungen / Organisatorisches
- The Business Intelligence course offered in the summer term by the Chair of Information Systems (Services, Processes, Intelligence) or a similar lecture on data mining or machine learning.
- Inhalt
- Social media became an inseparable part of today’s companies. The vast amount of user generated data online gives huge advantages to companies primarily by providing them with easy access to customer data free of charge. With every action online, users leave a trace behind which companies can use for a wide variety of decisions – product development and improvement, more targeted advertising, customer support. The user data come in various forms: text, images, videos.
In this seminar we put special focus on text and network data. We first teach the theory behind text and network mining and then apply this knowledge on to given datasets.
- ECTS-Informationen:
- Credits: 5
- Zusätzliche Informationen
- Maximale Teilnehmerzahl: 25
www: https://wi2.fau.de/teaching/master/master-courses/sawi/
- Institution: Lehrstuhl für Wirtschaftsinformatik, insbesondere im Dienstleistungsbereich
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