Advanced Credit Card Fraud Detection with Hybrid Optimization and Deep Learning

Name: Advanced Credit Card Fraud Detection with Hybrid Optimization and Deep Learning
Price: 124.46 AUD
Availability: OutOfStock
ISBN: 9789999330046

Dr Chandra Sekhar Kolli

$155.95 $124.46

Paperback

Not in-store but you can order this
How long will it take?

Availability Information

We source books from suppliers in Australia and overseas. For books we don't currently have in stock, the time it takes to get them from our suppliers can vary widely - from a few days to a few months - so we check each book with each supplier to determine the expected time it will take to be supplied to us.

We will update you on expected arrival time to us. If this delay is too long, please let us know within 2 business days and we can give you options regarding cancelling or adjusting your order. More details on cancelling your order can be found in our Terms of Trade.

To find out the anticipated arrival time for specific items prior to ordering, please contact us by phone or email:

Phone +61 2 9264 3111, or 1800 4 BOOKS (1800 4 26657) if outside Sydney:
option 1 Abbey's Bookshop (Crime, History, Science, Kids & more) • info@abbeys.com.au
option 2 Language Book Centre (ESL & Foreign Languages) • language@abbeys.com.au
option 3 Galaxy Bookshop (Sci-fi, Fantasy, Romance, Graphic Novels) • sf@galaxybooks.com.au

QTY:

English

Eliva Press
05 December 2025

Electronics engineering; Computer science

Summary
Details

In today's fast-paced digital economy, credit card fraud poses one of the greatest challenges to financial security. Advanced Credit Card Fraud Detection with Hybrid Optimization and Deep Learning bridges the gap between cutting-edge research and practical implementation, offering a comprehensive guide for students, researchers, and professionals. This book explores the integration of hybrid optimization techniques with deep recurrent neural networks (RNNs) to create high-performance fraud detection systems. Through clear explanations, mathematical foundations, and real-world case studies, it demonstrates how combining feature selection, model tuning, and sequential deep learning can dramatically improve detection accuracy while reducing false alarms. Readers will learn: The fundamentals of credit card fraud patterns and detection challenges Hybrid optimization algorithms for feature engineering and model enhancement Deep RNN architectures, including LSTM and GRU, for sequential data analysis End-to-end implementation strategies using real datasets Performance evaluation and deployment in real-world financial systems Whether you are an academic exploring AI in finance, a data scientist building detection models, or a security professional safeguarding transactions, this book provides the tools and knowledge to stay ahead in the evolving battle against financial fraud.

By: Dr Chandra Sekhar Kolli
Imprint: Eliva Press
Dimensions: Height: 229mm, Width: 152mm, Spine: 12mm
Weight: 313g
ISBN: 9789999330046
ISBN 10: 9999330045
Pages: 230
Publication Date: 05 December 2025
Audience: General/trade , ELT Advanced
Format: Paperback
Publisher's Status: Active