Data Mining and Machine Learning Applications
1st Edition
Published on 18. May 2022
Book
Hardback
484 pages
978-1-119-79178-2 (ISBN)
Description
Massive datasets can be classified and clustered to obtain accurate results. The most common technologies used include classification and clustering methods. Accuracy and error rates are calculated for regression and classification and clustering to find actual results through algorithms like support vector machines and neural networks with forward and backward propagation. Applications include fraud detection, image processing, medical diagnosis, weather prediction, e-commerce and so forth.
More details
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Dimensions
Height: 10 mm
Width: 10 mm
Thickness: 10 mm
Weight
454 gr
ISBN-13
978-1-119-79178-2 (9781119791782)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Rohit Raja | Kapil Kumar Nagwanshi | Sandeep Kumar
Data Mining and Machine Learning Applications
E-Book
01/2022
1st Edition
Wiley
€200.99
Available for download
Rohit Raja | Kapil Kumar Nagwanshi | Sandeep Kumar
Data Mining and Machine Learning Applications
E-Book
01/2022
1st Edition
Wiley
€200.99
Available for download
Persons
Rohit Raja, PhD is an associate professor in the IT Department, Guru Ghasidas Vishwavidyalaya, Bilaspur (CG), India. He has published more than 80 research papers in peer-reviewed journals as well as 9 patents.
Kapil Kumar Nagwanshi, PhD is an associate professor at Mukesh Patel School of Technology Management & Engineering, Shirpur Campus, SVKM's Narsee Monjee Institute of Management Studies Mumbai, India.
Sandeep Kumar. PhD is aprofessor in the Department of Electronics & Communication Engineering, Sreyas Institute of Engineering & Technology, Hyderabad, India. His area of research includes Embedded System, Image processing, and Biometrics. He has published more than 60 research papers in peer-reviewed journals as well as 6 patents.
K. Ramya Laxmi, PhD is an associate professor in the CSE Department at the Sreyas Institute of Engineering and Technology, Hyderabad. Her research interest covers the fields of data mining and image processing.
Kapil Kumar Nagwanshi, PhD is an associate professor at Mukesh Patel School of Technology Management & Engineering, Shirpur Campus, SVKM's Narsee Monjee Institute of Management Studies Mumbai, India.
Sandeep Kumar. PhD is aprofessor in the Department of Electronics & Communication Engineering, Sreyas Institute of Engineering & Technology, Hyderabad, India. His area of research includes Embedded System, Image processing, and Biometrics. He has published more than 60 research papers in peer-reviewed journals as well as 6 patents.
K. Ramya Laxmi, PhD is an associate professor in the CSE Department at the Sreyas Institute of Engineering and Technology, Hyderabad. Her research interest covers the fields of data mining and image processing.