Data mining

Delve into your data for the key to success Data mining is quickly becoming integral to creating value and business momentum.

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.

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.

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.

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!

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

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

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.

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.

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

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

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

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

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.

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.