Data mining

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.

This book presents high-quality research papers presented at 4th International Conference on Smart Data Intelligence (ICSMDI 2024) organized by Kongunadu College of Engineering and Technology at Trichy, Tamil Nadu, India, during February 2024.

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.

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

Why is Google Analytics 4 the most modern data model available for digital marketing analytics?

Why is Google Analytics 4 the most modern data model available for digital marketing analytics?

Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python.

Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python.

Snowflake's ability to eliminate data silos and run workloads from a single platform creates opportunities to democratize data analytics, allowing users at all levels within an organization to make data-driven decisions.

Snowflake's ability to eliminate data silos and run workloads from a single platform creates opportunities to democratize data analytics, allowing users at all levels within an organization to make data-driven decisions.

This book provides a thorough exploration of the intersection between gender-based healthcare disparities and the transformative potential of artificial intelligence (AI) and machine learning (ML).