Advanced Techniques For Anomaly Detection


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Advanced Techniques for Anomaly Detection


Advanced Techniques for Anomaly Detection

Author: Abdul Wahid

language: en

Publisher: CRC Press

Release Date: 2025-04-03


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The book will also summarize various protocols that work based on learning strategies and applied intelligence in the context of IoT environments.

Anomaly Detection for Innovators: Transforming Data into Breakthroughs


Anomaly Detection for Innovators: Transforming Data into Breakthroughs

Author: Vinayak Pillai

language: en

Publisher: Libertatem Media Private Limited

Release Date: 2022-04-22


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"Anomaly Detection for Innovators: Transforming Data into Breakthroughs" is a guide for professionals and data enthusiasts looking to harness the power of anomaly detection to revolutionize their data-driven decision-making processes. By blending foundational principles with cutting-edge technologies, the book explores how to design, optimize, and implement anomaly detection systems across industries, particularly in financial and insurance sectors. Each chapter delves into a unique aspect of anomaly detection, from building robust data systems to implementing predictive analytics, while offering actionable insights for creating efficient and scalable data models. This book empowers readers to translate data anomalies into opportunities for groundbreaking innovation.

Innovations and Advanced Techniques in Computer and Information Sciences and Engineering


Innovations and Advanced Techniques in Computer and Information Sciences and Engineering

Author: Tarek Sobh

language: en

Publisher: Springer Science & Business Media

Release Date: 2007-09-04


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This book includes a set of rigorously reviewed world-class manuscripts addressing and detailing state-of-the-art research projects in the areas of Computer Science, Computer Engineering and Information Sciences. The book presents selected papers from the conference proceedings of the International Conference on Systems, Computing Sciences and Software Engineering (SCSS 2006). All aspects of the conference were managed on-line.