Data mining

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.

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.

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.

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.

Building a data-driven organization (DDO) is an enterprise-wide initiative that may consume and lock up resources for the long term.

Unsupervised domain adaptation (UDA) is a challenging problem in machine learning where the model is trained on a source domain with labeled data and tested on a target domain with unlabeled data.

This book provides the key technologies involved in an organization's digital transformation.

This book provides the key technologies involved in an organization's digital transformation.

Intelligent Cyber-Physical Systems Security for Industry 4.

Intelligent Cyber-Physical Systems Security for Industry 4.

Although many books have been written about Mathematica, very few of them cover the new functionality added to the most recent versions of the program.

Algorithms and Applications for Academic Search, Recommendation and Quantitative Association Rule Mining presents novel algorithms for academic search, recommendation and association rule mining that have been developed and optimized for different commercial as well as academic purpose systems.

In recent years, investments by cloud companies in mega data centers and associated network infrastructure has created a very active and dynamic segment in the optical components and modules market.

This book presents the fundamentals of swarm intelligence, from classic algorithms to emerging techniques.

Human Factors in Intelligent Vehicles addresses issues related to the analysis of human factors in the design and evaluation of intelligent vehicles for a wide spectrum of applications and over different dimensions.

Cloud Computing and Big Data technologies have become the new descriptors of the digital age.

Near field communication devices and the emerging field of Internet of things require efficient short range communication techniques.

The book discusses the activities involved in developing an Enterprise Continuity Program (ECP) that will cover both Business Continuity Management (BCM) as well as Disaster Recovery Management (DRM).

The emergence of huge amounts of data which require analysis and in some cases real-time processing has forced exploration into fast algorithms for handling very lage data sizes.

Human Factors in Intelligent Vehicles addresses issues related to the analysis of human factors in the design and evaluation of intelligent vehicles for a wide spectrum of applications and over different dimensions.

Cloud Computing and Big Data technologies have become the new descriptors of the digital age.

Near field communication devices and the emerging field of Internet of things require efficient short range communication techniques.

This book presents the fundamentals of swarm intelligence, from classic algorithms to emerging techniques.

The book discusses the activities involved in developing an Enterprise Continuity Program (ECP) that will cover both Business Continuity Management (BCM) as well as Disaster Recovery Management (DRM).

The emergence of huge amounts of data which require analysis and in some cases real-time processing has forced exploration into fast algorithms for handling very lage data sizes.

Algorithms and Applications for Academic Search, Recommendation and Quantitative Association Rule Mining presents novel algorithms for academic search, recommendation and association rule mining that have been developed and optimized for different commercial as well as academic purpose systems.

In recent years, investments by cloud companies in mega data centers and associated network infrastructure has created a very active and dynamic segment in the optical components and modules market.

Legal Analytics: The Future of Analytics in Law navigates the crisscrossing of intelligent technology and the legal field in building up a new landscape of transformation.

Legal Analytics: The Future of Analytics in Law navigates the crisscrossing of intelligent technology and the legal field in building up a new landscape of transformation.

This comprehensive and timely book, New Age Analytics: Transforming the Internet through Machine Learning, IoT, and Trust Modeling, explores the importance of tools and techniques used in machine learning, big data mining, and more.

This comprehensive and timely book, New Age Analytics: Transforming the Internet through Machine Learning, IoT, and Trust Modeling, explores the importance of tools and techniques used in machine learning, big data mining, and more.