Data mining

"e;This book is a great way to both start learning data science through the promising Julia language and to become an efficient data scientist.

Machine Learning a branch of Artificial Intelligence is influencing the society, industry and academia at large.

Machine Learning a branch of Artificial Intelligence is influencing the society, industry and academia at large.

This exciting new textbook offers an accessible, business-focused overview of the key theoretical concepts underpinning modern data analytics.

Master the fundamentals of data science, from probability and statistics to data preprocessing, SQL, and data visualization, with this comprehensive guide.

Much of our daily lives intertwine with artificial intelligence.

Data clustering, an interdisciplinary field with diverse applications, has gained increasing popularity since its origins in the 1950s.

This book introduces the prevailing domains of recommender systems and cross-device federated learning, highlighting the latest research progress and prospects regarding cross-device federated recommendation.

This edited volume examines the transformative impact of AI technologies on global healthcare systems, with a focus on enhancing efficiency and accessibility.

Cult of Analytics enables professionals to build an analytics driven culture into their business or organization.

Cult of Analytics enables professionals to build an analytics driven culture into their business or organization.

This book presents original, peer-reviewed select articles from the International Conference on Cognitive and Intelligent Computing (ICCIC-2023), held on December 8-9, 2023, at Hyderabad, in India.

This book provides a snapshot of the implementation in various countries around the world of the international cataloging standard RDA: resource description and access.

This book provides a snapshot of the implementation in various countries around the world of the international cataloging standard RDA: resource description and access.

The ever-changing world of wearable technologies makes it difficult for experts and practitioners to keep up with the most recent developments.

Introductory, theory-practice balanced text teaching the fundamentals of databases to advanced undergraduates or graduate students in information systems or computer science.

This book describes techniques and results in cyber threat intelligence from the center of the malicious hacking underworld - the dark web.

Introductory, theory-practice balanced text teaching the fundamentals of databases to advanced undergraduates or graduate students in information systems or computer science.

This book describes techniques and results in cyber threat intelligence from the center of the malicious hacking underworld - the dark web.

A hands-on, entry-level guide to algorithms for extracting information about social and economic behavior from network data.

A hands-on, entry-level guide to algorithms for extracting information about social and economic behavior from network data.

Is this book about patterns?

An authoritative and in-depth treatment of state space methods, with a range of applications in neural and clinical data.

An authoritative and in-depth treatment of state space methods, with a range of applications in neural and clinical data.

A resource for social scientists on how Twitter data can be used to study individual behavior and social interaction.

This book gives a comprehensive introduction to all the core areas and many emerging themes of sentiment analysis.

A resource for social scientists on how Twitter data can be used to study individual behavior and social interaction.

Now in its second edition, this book focuses on practical algorithms for mining data from even the largest datasets.

Data access is essential for serving the public good.

Data access is essential for serving the public good.

This book details how to assess electric mobility characteristics within electric vehicles, discussing energy management methods, automated systems, and the enormous potential of data resources mined from software, navigation systems, and connectivity.

The information age has led to an explosion in the amount of information available to the individual and the means by which it is accessed, stored, viewed, and transferred.

The information age has led to an explosion in the amount of information available to the individual and the means by which it is accessed, stored, viewed, and transferred.

Data Mining with R: Learning with Case Studies, Second Edition uses practical examples to illustrate the power of R and data mining.

This book presents recent developments on the theoretical, algorithmic, and application aspects of Big Data in Complex and Social Networks.

This book presents recent developments on the theoretical, algorithmic, and application aspects of Big Data in Complex and Social Networks.

Experiment and Evaluation in Information Retrieval Models explores different algorithms for the application of evolutionary computation to the field of information retrieval (IR).

Experiment and Evaluation in Information Retrieval Models explores different algorithms for the application of evolutionary computation to the field of information retrieval (IR).

Modern biological databases comprise not only data, but also sophisticated query facilities and bioinformatics data analysis tools.

Modern biological databases comprise not only data, but also sophisticated query facilities and bioinformatics data analysis tools.

The proposed book will discuss various aspects of big data Analytics.

Research on the problem of clustering tends to be fragmented across the pattern recognition, database, data mining, and machine learning communities.

Business Analytics for Decision Making, the first complete text suitable for use in introductory Business Analytics courses, establishes a national syllabus for an emerging first course at an MBA or upper undergraduate level.

Extremal Optimization: Fundamentals, Algorithms, and Applications introduces state-of-the-art extremal optimization (EO) and modified EO (MEO) solutions from fundamentals, methodologies, and algorithms to applications based on numerous classic publications and the authors' recent original research results.

Research on the problem of clustering tends to be fragmented across the pattern recognition, database, data mining, and machine learning communities.

Business Analytics for Decision Making, the first complete text suitable for use in introductory Business Analytics courses, establishes a national syllabus for an emerging first course at an MBA or upper undergraduate level.

Extremal Optimization: Fundamentals, Algorithms, and Applications introduces state-of-the-art extremal optimization (EO) and modified EO (MEO) solutions from fundamentals, methodologies, and algorithms to applications based on numerous classic publications and the authors' recent original research results.

From the Foreword:"e;While large-scale machine learning and data mining have greatly impacted a range of commercial applications, their use in the field of Earth sciences is still in the early stages.