Big Data Analytics Methods (132 results)

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IX, 187 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Unsupervised and Semi-Supervised Learning. Sprache: Englisch.

276 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.

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Paperback. Condition: New. 2nd Edition. Big Data Analytics Methods unveils secrets to advanced analytics techniques ranging from machine learning, random forest classifiers, predictive modeling, cluster analysis, natural language processing (NLP), Kalman filtering and ensembles of models for optimal accuracy of analysis and prediction. More than 100 analytics techniques and methods provide big data professionals, business intelligence professionals and citizen data scientists insight on how to overcome challenges and avoid common pitfalls and traps in data analytics. The book offers solutions and tips on handling missing data, noisy and dirty data, error reduction and boosting signal to reduce noise. It discusses data visualization, prediction, optimization, artificial intelligence, regression analysis, the Cox hazard model and many analytics using case examples with applications in the healthcare, transportation, retail, telecommunication, consulting, manufacturing, energy and financial services industries. This book's state of the art treatment of advanced data analytics methods and important best practices will help readers succeed in data analytics.

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Softcover. Condition: New. Dust Jacket Condition: no dj. First. Big data analytics is a rapidly growing field, but it also presents a unique set of challenges and opportunities. Data Anonymization Methods for User Privacy in Big Data Analytics offers a comprehensive guide to building a robust and secure data anonymization posture, providing readers with the knowledge and strategies needed to protect user privacy and prevent data breaches. From data masking to data encryption, this book covers all aspects of data anonymization, offering real-world examples and expert analysis to help readers build a secure and resilient data analytics program. With its clear and concise language, Data Anonymization Methods is an indispensable resource for any data analyst looking to protect their users and prevent cyber threats. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. Statistical Methods for Big Data Analytics presents a captivating exploration of the intricate world of big data analytics, where the pursuit of understanding complex data is driven by the application of advanced statistical techniques. This book examines the complex relationships between statistical methods and big data analytics, highlighting the opportunities and challenges presented by this fusion. By analyzing the synergy between statistical methods and big data analytics, Statistical Methods for Big Data Analytics offers a unique perspective on the evolving landscape of data analysis. The book presents a comprehensive analysis of the challenges and opportunities presented by this fusion, providing a nuanced understanding of the potential for statistical methods to inform the study of big data analytics. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. In today's big data era, efficient data retrieval methods are critical for unlocking insights and driving business growth. Efficient Data Retrieval Methods for Big Data and Analytics provides a comprehensive guide to designing and implementing effective data retrieval strategies that can handle massive data sets. By exploring the latest advances in data retrieval, readers will learn how to optimize data storage, reduce query latency, and develop scalable data architectures. This book offers a wealth of practical advice and real-world examples to help data professionals stay ahead of the data management curve and deliver insights that drive business success. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. The explosion of digital data has created new opportunities for analyzing cultural trends and patterns, and the development of big data analytics is a rapidly evolving field. In this thought-provoking book, the author presents a comprehensive overview of the latest methods for analyzing cultural data through big data analytics, from the development of new data mining techniques to the creation of cultural analytics platforms. By examining the complex interactions between data science, culture, and society, this book provides a fresh perspective on the art and science of cultural data analysis and its potential to transform the way we understand and engage with culture. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. Big data analytics has revolutionized the way organizations make decisions, but it also raises significant concerns about user privacy. Data Anonymization Methods for User Privacy in Big Data Analytics provides readers with a comprehensive overview of the latest data anonymization methods and techniques, including data masking, data suppression, and data aggregation. The book examines the key challenges and risks associated with data anonymization, including data quality, data accuracy, and data consistency. Readers will learn how to identify and mitigate these risks, develop effective data anonymization strategies, and protect user privacy in big data analytics. By adopting these methods, organizations can balance their need for data insights with their responsibility to protect user privacy. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. Big Data Analytics Methods offers a comprehensive guide to the principles and practices of big data analytics, covering topics such as data warehousing, data mining, and predictive analytics. This book examines the key concepts and techniques of big data analytics, including the importance of data quality, data governance, and data visualization. Through a series of exercises and projects, readers will learn how to develop their skills in big data analytics, including strategies for collecting and processing big data, analyzing and interpreting results, and deploying analytics solutions in real-world applications. By engaging with Big Data Analytics Methods, readers can develop a solid understanding of the principles and practices of big data analytics. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. In the era of big data, the study of cultural phenomena has undergone a profound transformation. Methods for Analyzing Cultural Data through Big Data Analytics provides a cutting-edge guide to the latest methods and tools for analyzing large datasets related to culture, society, and human behavior. By exploring the intersection of data science, cultural studies, and computational methods, this book offers a unique perspective on the ways in which big data can be harnessed to shed new light on complex cultural dynamics. From the analysis of social media trends to the study of cultural narratives, this book serves as a vital resource for researchers, policymakers, and cultural practitioners seeking to navigate the complex landscape of cultural data. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

paperback. Condition: New. Paperback. Pub Date: 2018-01-01 Pages: 614 Language: English Publisher: Science Press. Basic Data Analysis: Concepts. Techniques. Methods. and Business (English) covers four basic aspects of big data analysis: Concepts and foundations. platforms and tools. methods and algorithms. as well as social issues and good practices. .