Databases

This book constitutes the refereed proceedings of Workshops held at the 19th European Dependable Computing Conference, EDCC 2024: First Workshop on...

Mikhail Zhilkin, a data scientist who has worked on projects ranging from Candy Crush games to Premier League football players physical performance...

To score a job in data science, machine learning, computer graphics, and cryptography, you need to bring strong math skills to the party. Math for ...

The confluence of Artificial Intelligence of Things (AIoT) and Semantic Web technologies is nothing short of revolutionary. The profound impact of ...

Machine Learning under Resource Constraints addresses novel machine learning algorithms that are challenged by high-throughput data, by high dimens...

In an era defined by the deluge of data, navigating the complexities of decision-making under conditions of uncertainty has emerged as a formidable...

In the current era, the healthcare and biotechnology domains face unprecedented challenges. The vast sea of generated data still needs to be tapped...

Today's organizations must be prepared for tomorrow's events. Forecast future behavior in SAP Analytics Cloud with this comprehensive guide to pred...

This book constitutes the refereed proceedings of the 7th International Workshop on Algorithms and Models for the Web-Graph, WAW 2010, held in Stan...

Brad C. Phillips and Jordan E. Horowitz offer a research-based model and actionable approach for using data strategically at community colleges to ...

At the intersection of computer science and healthcare, data analytics has emerged as a promising tool for solving problems across many healthcare-...

Brad C. Phillips and Jordan E. Horowitz offer a research-based model and actionable approach for using data strategically at community colleges to ...

Advances in Big Data Analytics is a compendium of papers presented at ABDA '16, an international conference that serves researchers, scholars, prof...

Disk-Based Algorithms for Big Data is a product of recent advances in the areas of big data, data analytics, and the underlying file systems and da...

Data Mining is a compendium of articles and papers that were presented at DMIN '16, an international conference that serves researchers, scholars, ...

Knowing various frameworks and methodologies is crucial. This book takes you one step further by transforming individuals or teams into adaptable p...

The growth of machines and users of the Internet has led to the proliferation of all sorts of data concerning individuals, institutions, companies,...

The World Wide Web has undergone tremendous growth since the first edition of Web Wisdom: How to Evaluate and Create Information Quality on the Web...

Temporal data mining deals with the harvesting of useful information from temporal data. New initiatives in health care and business organizations ...

In Data Sketches, Nadieh Bremer and Shirley Wu document the deeply creative process behind 24 unique data visualization projects, and they combine ...

Open Access Data is emerging as a source for cutting edge scholarship. This concise book provides guidance from generating a research idea to publi...

This book constitutes the proceedings of the 20th Brazilian Symposium on Artificial Intelligence, SBIA 2010, held in São Bernardo do Campo, Brazil,...

With Big Tech's breakthrough into finance with blockchain, it is imperative that finance players understand the ramifications and how they can defe...

Data visualization is the art and science of making information visible. On paper and in our imaginations, its a language of shapes and colors that...