Data Mining

The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and influence. 'Data science' and 'machine lea...

Build a Next-Generation Enterprise Digital Platform with Portals and UXPA Complete Guide to Portals and User Experience Platforms provides in-depth...

The surging predictive analytics market is expected to grow from $10.5 billion today to $28 billion by 2026. With the rise in automation across ind...

A visual approach to data mining. Data mining has been defined as the search for useful and previously unknown patterns in large datasets, yet when...

Learn methods of data analysis and their application to real-world data sets This updated second edition serves as an introduction to data mining m...

A pathbreaking history of art that uses digital research and economic tools to reveal enduring inequities in the formation of the art historical ca...

Analyzing Social Media Networks with NodeXL: Insights from a Connected World, Second Edition, provides readers with a thorough, practical and updat...

Provides a foundation in classical parametric methods of regression and classification essential for pursuing advanced topics in predictive analyti...

Modern medicine generates, almost daily, huge amounts of heterogeneous data. For example, medical data may contain SPECT images, signals like ECG, ...

This book provides a comprehensive presentation of a recently introduced framework, named probabilistic indexing (PrIx), for searching text in larg...

Camm/Cochran/Fry/Ohlmann's DATA VISUALIZATION: EXPLORING AND EXPLAINING WITH DATA, 2nd Edition, is designed to introduce best practices in data vis...

From the New York Times to Gawker, a behind-the-scenes look at how performance analytics are transforming journalism todayand how they might remake...

Build predictive models from time-based patterns in your data. Master statistical models including new deep learning approaches for time series for...

Data mining is a process to extract useful knowledge from large amounts of data. To conduct data mining, we often need to collect data. However, pr...