Data mining

Data Mining for Business Analytics: Concepts, Techniques, and Applications with JMP Pro presents an applied and interactive approach to data mining.

A new approach to unsupervised learning Evolving technologies have brought about an explosion of information in recent years, but the question of how such information might be effectively harvested, archived, and analyzed remains a monumental challenge for the processing of such information is often fraught with the need for conceptual interpretation: a relatively simple task for humans, yet an arduous one for computers.

A new approach to unsupervised learning Evolving technologies have brought about an explosion of information in recent years, but the question of how such information might be effectively harvested, archived, and analyzed remains a monumental challenge for the processing of such information is often fraught with the need for conceptual interpretation: a relatively simple task for humans, yet an arduous one for computers.

The field of data mining lies at the confluence of predictive analytics, statistical analysis, and business intelligence.

The field of data mining lies at the confluence of predictive analytics, statistical analysis, and business intelligence.

Learn methods of data analysis and their application to real-world data sets This updated second edition serves as an introduction to data mining methods and models, including association rules, clustering, neural networks, logistic regression, and multivariate analysis.

Learn methods of data analysis and their application to real-world data sets This updated second edition serves as an introduction to data mining methods and models, including association rules, clustering, neural networks, logistic regression, and multivariate analysis.

A hands on guide to web scraping and text mining for both beginners and experienced users of R Introduces fundamental concepts of the main architecture of the web and databases and covers HTTP, HTML, XML, JSON, SQL.

A hands on guide to web scraping and text mining for both beginners and experienced users of R Introduces fundamental concepts of the main architecture of the web and databases and covers HTTP, HTML, XML, JSON, SQL.

Harness the power of social media to predict customer behavior and improve sales Social media is the biggest source of Big Data.

Harness the power of social media to predict customer behavior and improve sales Social media is the biggest source of Big Data.

Data mining is well on its way to becoming a recognized discipline in the overlapping areas of IT, statistics, machine learning, and AI.

Data mining is well on its way to becoming a recognized discipline in the overlapping areas of IT, statistics, machine learning, and AI.

Learn the art and science of predictive analytics techniques that get results Predictive analytics is what translates big data into meaningful, usable business information.

Learn the art and science of predictive analytics techniques that get results Predictive analytics is what translates big data into meaningful, usable business information.

Cluster or co-cluster analyses are important tools in a variety of scientific areas.

Cluster or co-cluster analyses are important tools in a variety of scientific areas.

Collecting, analyzing, and extracting valuable information from a large amount of data requires easily accessible, robust, computational and analytical tools.

This book provides a detailed and up-to-date overview on classification and data mining methods.

This book provides a detailed and up-to-date overview on classification and data mining methods.

Collecting, analyzing, and extracting valuable information from a large amount of data requires easily accessible, robust, computational and analytical tools.

A visual approach to data mining.

A visual approach to data mining.

Praise for the First Edition .

Praise for the First Edition .

Provides readers with the methods, algorithms, and means to perform text mining tasks This book is devoted to the fundamentals of text mining using Perl, an open-source programming tool that is freely available via the Internet (www.

This comprehensive guide addresses key challenges at the intersection of data science, graph learning, and privacy preservation.

Focuses on insights, approaches, and techniques that are essential to designing interactive graphics and visualizations Making Sense of Data III: A Practical Guide to Designing Interactive Data Visualizations explores a diverse range of disciplines to explain how meaning from graphical representations is extracted.

Focuses on insights, approaches, and techniques that are essential to designing interactive graphics and visualizations Making Sense of Data III: A Practical Guide to Designing Interactive Data Visualizations explores a diverse range of disciplines to explain how meaning from graphical representations is extracted.

The leading introductory book on data mining, fully updated and revised!

The leading introductory book on data mining, fully updated and revised!

Understand how to use the new features of Microsoft SQL Server 2008 for data mining by using the tools in Data Mining with Microsoft SQL Server 2008, which will show you how to use the SQL Server Data Mining Toolset with Office 2007 to mine and analyze data.

In the big data age, this Element offers many modern methods and opensource code for learning from high dimensional data.

A technical guide to performing systematic experiments that create more transparency for corporate surveillance and its algorithms.

Now in paperback and fortified with exercises, this brilliant, enjoyable text demystifies data science, statistics and machine learning.

A practical guide to text analysis with Python: the intuition, the math, the code.

Overviews of interdisciplinary research partnerships applying AI, IE, and OR to societal and operational problems in healthcare settings.

Cutting-edge models for proactive cybersecurity, applying AI, learning, and network analysis to information mined from hacker communities.

Cutting-edge models for proactive cybersecurity, applying AI, learning, and network analysis to information mined from hacker communities.

Offers researchers and teachers an introduction to clustering, with R code and real data to facilitate interaction with the concepts.

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

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.