Data mining

Swarm Intelligence and Its Applications in Biomedical Informatics discusses Artificial Intelligence (AI) applications in medicine and biology, as well as challenges and opportunities presented in these arenas.

Created with the input of a distinguished International Board of the foremost authorities in data mining from academia and industry, The Handbook of Data Mining presents comprehensive coverage of data mining concepts and techniques.

Immersive technology is going to govern the next generation in terms of education, health, military, tourism, and much more.

Tableau, one of the most widely used visualization tools, helps in illustrating the ideas of data visualization and storytelling.

No detailed description available for "e;Learn T-SQL Querying"e;.

No detailed description available for "e;Cracking the Data Science Interview"e;.

Data Mining and Applications in Genomics contains the data mining algorithms and their applications in genomics, with frontier case studies based on the recent and current works at the University of Hong Kong and the Oxford University Computing Laboratory, University of Oxford.

Advances in Computational Algorithms and Data Analysis offers state of the art  tremendous advances in computational algorithms and data analysis.

'A Geometry of Approximation' addresses Rough Set Theory, a field of interdisciplinary research first proposed by Zdzislaw Pawlak in 1982, and focuses mainly on its logic-algebraic interpretation.

A suspenseful story about the dangers of unknowingly revealing our most intimate thoughts and actions onlineWhat happens when a naive intern is granted unfettered access to people's most private thoughts and actions?

This book investigates the potential and limitations of using Generative AI (GenAI) in terms of quality and capability in agile web development projects using React.

Industry 4.

As software R&D investment increases, the benefits from short feedback cycles using technologies such as continuous deployment, experimentation-based development, and multidisciplinary teams require a fundamentally different strategy and process.

As software R&D investment increases, the benefits from short feedback cycles using technologies such as continuous deployment, experimentation-based development, and multidisciplinary teams require a fundamentally different strategy and process.

Artificial Intelligence (AI) innovations in digital health offer unprecedented opportunities to facilitate human health and provide tools and techniques that reduce overall costs.

Since the first edition of this book published, Bayesian networks have become even more important for applications in a vast array of fields.

Since the first edition of this book published, Bayesian networks have become even more important for applications in a vast array of fields.

This book is about the process of using analytics and the capabilities of analytics in today's organizations.

This book is about the process of using analytics and the capabilities of analytics in today's organizations.

If you are a manager who receives the results of any data analyst's work to help with your decision-making, this book is for you.

If you are a manager who receives the results of any data analyst's work to help with your decision-making, this book is for you.

Due to the complexity of operational forestry problems, computing applications are becoming pervasive in all aspects of forest and natural resource management.

Due to the complexity of operational forestry problems, computing applications are becoming pervasive in all aspects of forest and natural resource management.

Cloud computing has created a shift from the use of physical hardware and locally managed software-enabled platforms to that of virtualized cloud-hosted services.

Textual Statistics with R comprehensively covers the main multidimensional methods in textual statistics supported by a specially-written package in R.

Textual Statistics with R comprehensively covers the main multidimensional methods in textual statistics supported by a specially-written package in R.

The process of transforming data into actionable knowledge is a complex process that requires the use of powerful machines and advanced analytics technique.

The process of transforming data into actionable knowledge is a complex process that requires the use of powerful machines and advanced analytics technique.

This book shows healthcare professionals how to turn data points into meaningful knowledge upon which they can take effective action.

This book shows healthcare professionals how to turn data points into meaningful knowledge upon which they can take effective action.

In order to make informed decisions, there are three important elements: intuition, trust, and analytics.

In order to make informed decisions, there are three important elements: intuition, trust, and analytics.

Cybersecurity in Robotic Autonomous Vehicles introduces a novel intrusion detection system (IDS) specifically designed for AVs, which leverages data prioritisation in CAN IDs to enhance threat detection and mitigation.

Feature engineering plays a vital role in big data analytics.

The need for analytics skills is a source of the burgeoning growth in the number of analytics and decision science programs in higher education developed to feed the need for capable employees in this area.

The need for analytics skills is a source of the burgeoning growth in the number of analytics and decision science programs in higher education developed to feed the need for capable employees in this area.

There are a number of books on computational intelligence (CI), but they tend to cover a broad range of CI paradigms and algorithms rather than provide an in-depth exploration in learning and adaptive mechanisms.

There are a number of books on computational intelligence (CI), but they tend to cover a broad range of CI paradigms and algorithms rather than provide an in-depth exploration in learning and adaptive mechanisms.

The theme of this book is simple.

The theme of this book is simple.

This book focuses on understanding the analytics knowledge management process and its comprehensive application to various socioeconomic sectors.

This book focuses on understanding the analytics knowledge management process and its comprehensive application to various socioeconomic sectors.

Harnessing the power of technology is one of the key measures of effective leadership.

Power systems are evolving towards the Smart Grid paradigm, featured by large-scale integration of renewable energy resources, e.

Interest in predictive analytics of big data has grown exponentially in the four years since the publication of Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data, Second Edition.

This is an edited book based on the selected submissions made to the conference titled "e;International Conference in Smart Cities"e;.

The growth of machines and users of the Internet has led to the proliferation of all sorts of data concerning individuals, institutions, companies, governments, universities, and all kinds of known objects and events happening everywhere in daily life.

This book presents state-of-the-art solutions to the theoretical and practical challenges stemming from the leverage of big data and its computational intelligence in supporting smart network operation, management, and optimization.

This book discusses the advanced databases for the cloud-based application known as NoSQL.

High-Performance Computing for Big Data: Methodologies and Applications explores emerging high-performance architectures for data-intensive applications, novel efficient analytical strategies to boost data processing, and cutting-edge applications in diverse fields, such as machine learning, life science, neural networks, and neuromorphic engineering.