| Extent: | XIV, 520 Seiten Illustrationen, Diagramme |
|---|---|
| Series: | |
| Type of publication: | Book / Working Paper |
| Language: | English |
| Notes: | Introduction to Data Mining. CRISP-DM Process.- Data Preprocessing.- Introduction to Data Mining Methods. Association Rules.- Decision Trees.- Clustering Techniques: K-means and DBSCAN.- Hierarchical Clustering.- Predictive Analytics and Supervised Learning. Classification.- Validation and Evaluation Methods.- Web Data Scraping.- Sentiment and Emotion Analysis.- Text Mining Essentials.- Topic Modeling: Latent Dirichlet Allocation.- Text Analysis with Large Language Models (LLMs).- Introduction to Social Network Analysis.- Understanding Data Storage and Databases.- Ethics and Explainable AI. |
| ISBN: | 978-3-031-89688-0 ; 978-3-031-89689-7 |
| Other identifiers: | 10.1007/978-3-031-89689-7 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015617572