
BOOKS - Swarm Intelligence in Data Mining

Swarm Intelligence in Data Mining
Author: Ajith Abraham
Format: PDF
File size: PDF 12 MB
Language: English

Format: PDF
File size: PDF 12 MB
Language: English

Swarm Intelligence in Data Mining: A Key to Unlocking the Secrets of Modern Knowledge As technology continues to evolve at an unprecedented pace, it is essential to understand the process of its development and how it can impact humanity's survival. Swarm Intelligence in Data Mining is a groundbreaking book that delves into the intersection of these two fields, offering insights into the potential of swarm intelligence in solving optimization problems and exploring large datasets. This innovative approach draws inspiration from biological examples of flocking and herding phenomena in vertebrates, providing a unique perspective on data mining and optimization techniques. The book begins with an introductory chapter that defines fundamental concepts and outlines important research challenges, setting the stage for the 11 chapters that follow. Each chapter is authored by pioneers in the field, providing a comprehensive overview of the latest advancements in swarm intelligence and data mining. The text covers timely topics such as advanced data mining techniques, theoretical research, and application developments, making it an invaluable resource for academics, scientists, and engineers engaged in research and development. One of the key features of this book is its focus on the need to develop a personal paradigm for perceiving the technological process of developing modern knowledge. By understanding the evolution of technology and its potential impact on society, readers can gain a deeper appreciation for the importance of swarm intelligence in data mining.
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