Practical data mining techniques and applications. (2023)
- Record Type:
- Book
- Title:
- Practical data mining techniques and applications. (2023)
- Main Title:
- Practical data mining techniques and applications
- Further Information:
- Note: Edited by Ketan Shah, Neepa Shah, Vinaya Sawant, Neeraj Parolia.
- Editors:
- Shah, Ketan
Shah, Neepa
Sawant, Vinaya
Parolia, Neeraj - Contents:
- 1. Introduction to Data Mining Techniques ; Neepa Shah and Ketan Shah 2. Review of Latent Dirichlet Allocation to Understand Motivations to Share Conspiracy Theory: A Case Study of "Plandemic" during COVID-19; Sushma Kumble, Pratiti Diddi, and Jeff Dean Conlin 3. Near Human-Level Style Transfer; Rahul Pereira, Beryl Coutinho, Jenslee Dsouza, Cyrus Ferreira, and Vaishali Jadhav 4. Semantics-based Distributed Document Clustering; Neepa Shah, Sunita Mahajan, and Ketan Shah 5. Application of Machine Learning in Disease Prediction; Sannidhi Rao, Shreya Kulkarni, Shikha Mehta, and Neha Katre 6. Federated Machine Learning-based Bank Customer Churn Prediction; Chirag Jagad, Chirag Jain, Dhrumil Thakore, Om Naik, and Vinaya Sawant 7. Challenges and Avenues for Sophisticated Digitized Healthcare System: A Review; Rajesh Shardanand Prasad, Jayashree Rajesh Prasad, and Nihar M Ranjan 8. Unusual Social Media Behavior Detection using Distributed Data Stream Mining; Aakash Sangani, Princy Doshi, and Vinaya Sawant 9. Market Basket Analysis Using Distributed Algorithm; Vinaya Sawant, Ketan Shah, and Neeraj Parolia 10. Identification of Crime Prone Areas using Data Mining Techniques; Jainam Rambhia, Bhoomika Valani, Shivam Vora, Chaitanya Kumbar and Neha Katre 11. Smart Baby Cradle for Infant Soothing and Monitoring; Aditya Adhduk, Ritik Sanghvi, Sahil Lunawat, and Vinaya Sawant 12. Word Level Devanagari Text Recognition; Rutwik Shailesh Shah, Harshil Suresh Bhorawat, Hritik Ganesh Sawant,1. Introduction to Data Mining Techniques ; Neepa Shah and Ketan Shah 2. Review of Latent Dirichlet Allocation to Understand Motivations to Share Conspiracy Theory: A Case Study of "Plandemic" during COVID-19; Sushma Kumble, Pratiti Diddi, and Jeff Dean Conlin 3. Near Human-Level Style Transfer; Rahul Pereira, Beryl Coutinho, Jenslee Dsouza, Cyrus Ferreira, and Vaishali Jadhav 4. Semantics-based Distributed Document Clustering; Neepa Shah, Sunita Mahajan, and Ketan Shah 5. Application of Machine Learning in Disease Prediction; Sannidhi Rao, Shreya Kulkarni, Shikha Mehta, and Neha Katre 6. Federated Machine Learning-based Bank Customer Churn Prediction; Chirag Jagad, Chirag Jain, Dhrumil Thakore, Om Naik, and Vinaya Sawant 7. Challenges and Avenues for Sophisticated Digitized Healthcare System: A Review; Rajesh Shardanand Prasad, Jayashree Rajesh Prasad, and Nihar M Ranjan 8. Unusual Social Media Behavior Detection using Distributed Data Stream Mining; Aakash Sangani, Princy Doshi, and Vinaya Sawant 9. Market Basket Analysis Using Distributed Algorithm; Vinaya Sawant, Ketan Shah, and Neeraj Parolia 10. Identification of Crime Prone Areas using Data Mining Techniques; Jainam Rambhia, Bhoomika Valani, Shivam Vora, Chaitanya Kumbar and Neha Katre 11. Smart Baby Cradle for Infant Soothing and Monitoring; Aditya Adhduk, Ritik Sanghvi, Sahil Lunawat, and Vinaya Sawant 12. Word Level Devanagari Text Recognition; Rutwik Shailesh Shah, Harshil Suresh Bhorawat, Hritik Ganesh Sawant, and Vinaya Sawant 13. Wall Paint Visualizer Using Panoptic Segmentation; Martin Devasia, Sakshi Shetty, Sheldon Moonjelil, Leander Pereira, and Vaishali Jadhav 14. Fashion Intelligence: An Artificial Intelligence-based Clothing Fashion Stylist; Pavan Raval, Raj Shah, Vrutik Adani, Lissa Rodrigues, and Vaishali Jadhav … (more)
- Edition:
- 1st
- Publisher Details:
- Boca Raton : Auerbach
- Publication Date:
- 2023
- Extent:
- 1 online resource (204 pages), illustrations (black and white)
- Subjects:
- 006.312
Data mining
Data mining -- Industrial applications - Languages:
- English
- ISBNs:
- 9781000895506
9781000895483 - Related ISBNs:
- 9781032232676
- Notes:
- Note: Description based on CIP data; resource not viewed.
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.782854
- Ingest File:
- 20_022.xml