Practical Data Mining Techniques and Applications (eBook, PDF)

Redaktion: Shah, Ketan; Parolia, Neeraj; Sawant, Vinaya; Shah, Neepa

• Format: PDF

Produktbeschreibung

This book focuses on how to use various data mining techniques to develop real-world applications. It offers practical applications with a clear understanding of data mining concepts. The book also has a special chapter on case studies of data mining in practice.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 214
• Erscheinungstermin: 19. Juni 2023
• Englisch
• ISBN-13: 9781000895483
• Artikelnr.: 67875570

Inhaltsangabe

Preface. Acknowledgments. Contributors. 1 Introduction to Data Mining. 2
Review of Latent Dirichlet Allocation to Understand Motivations to Share
Conspiracy Theory: A Case Study of "Plandemic" during COVID 19. 3 Near
Human-Level Style Transfer. 4 Semantics-Based Distributed Document
Clustering. 5 Application of Machine Learning in Disease Prediction. 6
Federated Machine Learning-Based Bank Customer Churn Prediction. 7
Challenges and Avenues in the Sophisticated Health-Care System. 8 Unusual
Social Media Behavior Detection Using Distributed Data Stream Mining. 9
Market Basket Analysis Using Distributed Algorithm. 10 Identification of
Crime Prone-Areas Using Data Mining Techniques. 11 Smart Baby Cradle for
Infant Soothing and Monitoring. 12 Word-Level Devanagari Text Recognition.
13 Wall Paint Visualizer Using Panoptic Segmentation. 14 Fashion
Intelligence: An Artificial Intelligence-Based Clothing Fashion Stylist.
Index.