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Top 4 Data Mining Books



The AI Optify data team writes about topics that we think data engineers & data scientists will love. AI Optify has affiliate partnerships so we may get a share of the revenue from your purchase.

Top Data Mining Books - For this post, we have scraped various signals (e.g. online ratings/reviews, topics covered, author social influence in the field, year of publication, social media mentions, etc.) for more than 10 Data Mining books from web. We have fed all above signals to a trained Machine Learning algorithm to compute a score and rank the top books.

The readers will love our list because it is Data-Driven & Objective. Enjoy the list:


1. Data Mining, Fourth Edition: Practical Machine Learning Tools and Techniques
$56

Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated fourth edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at the heart of successful data mining approaches.


2. Introduction to Data Mining
$131

Inroduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each major topic is organized into two chapters, beginning with basic concepts that provide necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms.


3. Data Mining: Concepts and Techniques, Third Edition (The Morgan Kaufmann Series in Data Management Systems)
$62

Since the previous edition’s publication, great advances have been made in the field of data mining. Not only does the third of edition of Data Mining: Concepts and Techniques continue the tradition of equipping you with an understanding and application of the theory and practice of discovering patterns hidden in large data sets, it also focuses on new, important topics in the field: data warehouses and data cube technology, mining stream, mining social networks, and mining spatial, multimedia and other complex data. Each chapter is a stand-alone guide to a critical topic, presenting proven algorithms and sound implementations ready to be used directly or with strategic modification against live data.


4. Data Mining: The Textbook
$90

This textbook explores the different aspects of data mining from the fundamentals to the complex data types and their applications, capturing the wide diversity of problem domains for data mining issues. It goes beyond the traditional focus on data mining problems to introduce advanced data types such as text, time series, discrete sequences, spatial data, graph data, and social networks. Until now, no single book has addressed all these topics in a comprehensive and integrated way.