Data Mining: Concepts and Techniques (The Morgan Kaufmann Series in Data Management Systems) Hardcover – 8 Mar. 2011

This is a great book if you are looking for a concept-driven textbook and strong overview of data mining. I find myself reaching for this book more than my more traditionally academic books when working with others. The people I work with want to understand how the techniques work in general; they aren't after impressive equations or technical language, impressive though it might sound. The more conversational tone is accessible and ease to dip back into for a reminder when used as a high level reference text.Overall, an especially good library addition for people working with non-stats people.

My grandson who is studying physics and high

It's ine of those books that start from zero. It contains a lot of stuff and I believe it is a very good introduction on this topic. I mean it explains almost everything and it is those kinds of books that you keep as reference if you want to get an understanding on how things work on a specific technique before venturing deeper into it or wasting time online. Then, of course if you want to impement something or develop your competence more on a certain subjects than others, well you need a follow-up read. It did the job for me in clarifying the different steps of data mining and explaining the way all the commonly used machine learning techniques work, pros and cons, and references.

Very good book for data mining beginners. It is really a book where u can find every thing u need starting from the simplest stats to the complex algorithms in a very easy manner.

really a nice piece of interesting things. Only for people who work with the topic.

This book is about nothing in particular. The author is blabbering about terminology mostly, then basic math. Doesn't teach you anything new. Doesn't help solving any real problems.

I am reading this book , and it is TOO LONG, TOO BASIC, AND PROGRESS TOO SLOW. I am reading few lines, skipping a page ...I understand that some readers need slower pace but then it make sense to split it into two books. It does not make any sense (in a book about data mining) to explain what is a mean and the formula to compute it, and to spend two pages on it..Maybe a good choice for someone who wants to spend the time to get a good understanding of the subject but who is not familiar with statistics, math etc. He should be a fast reader though...

Fine package and book in good conditions 👍

Le livre était exactement tel que décrit dans la description (couverture légèrement endommagée, mais intérieur intact). Livraison Prime qui ne respectait pas le 2 jours, mais qui a été assez efficace tout de même.

The books is very well written and explains the concepts in a very simple manner. It covers all the algorithms with good examples. A must for a person who wants to learn the concepts of data mining.

Come da titolo, è un buon libro. Fornisce una panoramica delle tecniche ( avanzate e basilari) di data minino. Molti capitoli sono spiegati davvero bene, altri un po' meno. Il problema è che un libro che lascia un po' l'amaro in bocca. In alcuni capitoli ti spiega molto da un punto di vista teorico, poco in quello pratico. Non per nulla l'ho usato come libro di supporto al famoso "mining of massive datasets"( anche se, ad esempio, a differenza di quest'ultimo, la parte di machine Learning ovvero SVM è molto più chiara qui). Inoltre, contiene spiegazioni di algoritmi che non ho visto in altri libri, quindi rimane un libro secondario da usare insieme ad altri testi.

It approaches the topics in a very easy way, I'm new on the topic, with a university background, not specially good a statistics, but this book is being easy to read & understand.