Data mining

Techniques for interpreting commonly used discrete choice models, illustrated with extensive examples including replication code and data.

An intuitive, up-to-date introduction to random matrix theory and free calculus, with real world illustrations and Big Data applications.

This Element explains the statistical foundations of computerized adaptive inventories and how to use the tools provided to implement them.

This Element explains the statistical foundations of computerized adaptive inventories and how to use the tools provided to implement them.

An intuitive, up-to-date introduction to random matrix theory and free calculus, with real world illustrations and Big Data applications.

This is the first comprehensive overview of the exciting field of the ''science of science''.

Explores the critical role time plays in our understanding of causality, across psychology, biology, physics and the social sciences.

Explores the critical role time plays in our understanding of causality, across psychology, biology, physics and the social sciences.

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

An introductory textbook offering a low barrier entry to data science; the hands-on approach will appeal to students from a range of disciplines.

This book addresses common questions from HCI researchers when trying to do statistical analysis on their data.

New to the second edition of this advanced text are several chapters on regression, including neural networks and deep learning.

Colorful example-rich introduction to the state-of-the-art for students in data science, as well as researchers and practitioners.

A bold retooling of statistics to focus directly on predictive performance with traditional and contemporary data types and methodologies.

This book addresses common questions from HCI researchers when trying to do statistical analysis on their data.

This practical guide for students, researchers and practitioners offers real world guidance for data-driven decision making and innovation.

This is the first comprehensive overview of the exciting field of the ''science of science''.

A bold retooling of statistics to focus directly on predictive performance with traditional and contemporary data types and methodologies.

This practical guide for students, researchers and practitioners offers real world guidance for data-driven decision making and innovation.

Provides a comprehensive textbook covering theory and practical examples for a course on data mining and data warehousing.

A practical guide for data scientists who want to improve the performance of any machine learning solution with feature engineering.

Looks at the use of Twitter as a data source.

This beginning graduate textbook teaches data science and machine learning methods for modeling, prediction, and control of complex systems.

This beginning graduate textbook teaches data science and machine learning methods for modeling, prediction, and control of complex systems.

This snapshot of the frontier of statistics and network analysis focuses on the foundational topics of modeling, sampling, and design.

This compact account covers both well-established methodology and the theory of models recently introduced in the graphical model literature.

Shows how traditional and nontraditional methods such as anomaly detection and time series can be extended using data analytics.

This book explains the role of big data and statistical physics in understanding macroeconomic concepts.

This book describes the analysis of macroeconomic agent based models using the tools of statistical mechanics.

The first introductory textbook on description logics, relevant to computer science, knowledge representation and the semantic web.

The first introductory textbook on description logics, relevant to computer science, knowledge representation and the semantic web.

Provides a summary of the key developments of a decade of research into the area of data exchange.

Provides a summary of the key developments of a decade of research into the area of data exchange.

This book teaches fundamentals of stream processing, covering application design, distributed systems infrastructure, and continuous analytic algorithms.

This book teaches fundamentals of stream processing, covering application design, distributed systems infrastructure, and continuous analytic algorithms.

This book surveys the myriad facets of monitoring people in motion, from spatio-temporal data modeling, to data aggregation and warehousing, to data analysis.

This book surveys the myriad facets of monitoring people in motion, from spatio-temporal data modeling, to data aggregation and warehousing, to data analysis.

Although change is constant in business and analytics, some fundamental principles and lessons learned are truly timeless, extending and surviving beyond the rapid ongoing evolution of tools, techniques, and technologies.

Master the process of building MASS models with real examples and hands-on practice.

Life scientists today urgently need training in bioinformatics skills.

Life scientists today urgently need training in bioinformatics skills.

Perform fast interactive analytics against different data sources using the Trino high-performance distributed SQL query engine.

Perform fast interactive analytics against different data sources using the Trino high-performance distributed SQL query engine.

Serverless computing enables developers to concentrate solely on their applications rather than worry about where they've been deployed.

Serverless computing enables developers to concentrate solely on their applications rather than worry about where they've been deployed.

Do your product dashboards look funky?

Do your product dashboards look funky?

Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice.

Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice.

This practical book provides a comprehensive overview of troubleshooting and performance tuning best practices for Microsoft SQL Server.