Mandal Ashis Kumar (7 results)

Soft cover. Condition: As New. Contents 1. Introduction. 2. Materials and methods i. Sampling and extraction of Collembola. ii. Isolation of soil microbes (Bacteria Actinomycetes and Fungi). iii. Analysis of edaphic factors. iv. Analysis of heavy metals. 3. Location and characteristic of sampling site. 4. Observation i. Soil factors. ii. Heavy metals. iii. Collembolan fauna. iv. Seasonal changes. v. Microbial flora. vi. Seasonal changes. vii. Bacteria Actinomycetes. viii. Seasonal changes. 5. Statistical analysis of data i. Linear correlation. ii. Step regression analysis. Two way associations. Discussions. Summary. Acknowledgements. References. 50 pp.…

Condition: New. pp. 144 Figures.

Soft cover. Condition: New. Dust Jacket Condition: New. 1st Edition. Contents: 1. Introduction. 2. Materials and methods. 3. Observations. 4. Statistical analysis of data. 5. Comparative analysis of data in different study sites. 6. Discussion. Summary. References. Appendix.

Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 196 pp. Englisch.

Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In an era defined by data-driven decision-making, the ability to extract meaningful knowledge from complex datasets is more important than ever. Advances in Data Mining and Intelligent Analytics - Methods, Interpretability, and Cross-Domain Applications offers a timely and focused exploration of how modern data mining supports discovery, prediction, and intelligent decision-making across diverse domains. This volume brings together key ideas spanning data visualization, statistical thinking, machine learning, deep learning, and scalable data management, presenting a coherent view of both foundational principles and emerging directions. Readers are introduced to concepts such as exploratory data analysis, predictive modeling, model optimization, adversarial learning, interpretable AI, and data infrastructure for large-scale applications. Emphasizing real-world relevance, the book highlights how data mining can be applied across healthcare, agriculture, industry, and intelligent digital systems. Designed for graduate students, researchers, and professionals, the text balances conceptual understanding with a practical perspective, making it suitable as both a reference and a learning resource. Key advantages of this book include its integration of foundational knowledge with advanced methods, its cross-domain applicability, and its focus on scalable and responsible data use. By connecting core data mining techniques with current AI-driven approaches, this volume helps readers understand not only how methods work but also why they matter in today's data-rich world. Whether the goal is to strengthen analytical skills, explore modern machine learning strategies, or understand the evolving landscape of intelligent data analysis, this book provides a clear and engaging guide to the field. 196 pp. Englisch. …

Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In an era defined by data-driven decision-making, the ability to extract meaningful knowledge from complex datasets is more important than ever. Advances in Data Mining and Intelligent Analytics - Methods, Interpretability, and Cross-Domain Applications offers a timely and focused exploration of how modern data mining supports discovery, prediction, and intelligent decision-making across diverse domains. This volume brings together key ideas spanning data visualization, statistical thinking, machine learning, deep learning, and scalable data management, presenting a coherent view of both foundational principles and emerging directions. Readers are introduced to concepts such as exploratory data analysis, predictive modeling, model optimization, adversarial learning, interpretable AI, and data infrastructure for large-scale applications. Emphasizing real-world relevance, the book highlights how data mining can be applied across healthcare, agriculture, industry, and intelligent digital systems. Designed for graduate students, researchers, and professionals, the text balances conceptual understanding with a practical perspective, making it suitable as both a reference and a learning resource. Key advantages of this book include its integration of foundational knowledge with advanced methods, its cross-domain applicability, and its focus on scalable and responsible data use. By connecting core data mining techniques with current AI-driven approaches, this volume helps readers understand not only how methods work but also why they matter in today's data-rich world. Whether the goal is to strengthen analytical skills, explore modern machine learning strategies, or understand the evolving landscape of intelligent data analysis, this book provides a clear and engaging guide to the field. …

Buch. Condition: Neu. Advances in Data Mining and Intelligent Analytics - Methods, Interpretability, and Cross-Domain Applications | Methods, Interpretability, and Cross-Domain Applications | Buch | Artificial Intelligence, Volume 45 | Englisch | 2026 | IntechOpen | EAN 9781836342694 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.…