Data Mining For Dummies

good book. I haven't finished it just yet.

It is ok, it didn't touch on everything it just scutes the surface.

Great guide for both anyone new to data mining or for those needing a refresher. Meta Brown took the time to structured this book so it is not only easily consumed but handy as a reference guide, something not easily achieved by other publications!

I get used that after reading a book "....for Dummies" series I can start to make practical application of the subject in basic, simple tasks. This is not the case here. Content of this book is very general and I was not able to make practical application of it. Maybe topic is too wide for this type of book.

Meta Brown did a great job in providing a easy book showing a introduction to the field of Data Mining. She shows what data mining is and and an introduction to how and why people do data mining.

Terrible book. I was hoping it would help me search large volumes of data to find the documents I need.I'm trying to search through a database that contains 10,000,000 pages of documents.I need to construct queries to search this database.The book didn't help at all. No hands on information in the book.Who would find this book useful, exactly? Who is the intended audience?I think this book is just a scam!!One of the worst purchases I have ever made.At least it wasn't much money.

... to get started, and more.Very smart also for the advices on how to improve your analyst's mindset.

Great introduction to data mining as well as a very helpful resource for those with experience.

I'm going to start by saying I really enjoyed this book. I've worked with data for nearly 20 years but there's always something new, interesting and energising to learn.However, my bugbear is creating a bubble for data geeks, data nerds and big data consultants. Insights are for everyone and data is one resource we can tap into for that. I am always on the lookout for books that help non-techies understand techie concepts and most importantly, what's in it for them. This book falls squarely into that plain English, no bull approach.Meta S. Brown aims this book squarely at domain experts - people who already have the know how that comes from working daily in their chosen fields. She then goes on to demonstrate how they can benefit from one method of manipulating data for insight: data mining.I won't pretend this book is perfect - it's not. I understand some of the decisions, for example to focus on visual tools over text based ones. This is a minor niggle. The rest of the books covers in a good balance between succinctness and detail the *methodology* and *approach* to data mining.This is key. With this grounding, the learning curve to pick up using a specific tool is reduced. And you'll need to invest in that because that's where this book fails to deliver. However, I'm pretty sure it would have been twice the size had Meta attempted to correct this, so as I mentioned, a minor niggle.Bottom line: should you read this and what's in it for you?TLDR; Yes you should. Especially if you already do data jiggery pokery using spreadsheets, have that essential domain knowledge and want to up your game.Even if you're an expert data zen master, you'll benefit from comparing Meta's experiences, methodology and approach based on CRISP-DM to your own. A little practice-based analysis is a good thing.

Ein englischsprachiges Dummie Buch zum Thema Data Mining. Gut geeignet für Anfänger, aber auch Fortgeschrittene finden noch Anregungen zum Thema.

Covers the most important materials in an easy to understand step by step process.But it does contain a bit too much non-relevant information that some might find useless for their own particular purposes.

muy bueno , super practico , la verdad que para comenzar en el DM es ideal.Super claro y paso a paso

Skimmed it so far when this review request came through, but looks thorough and practical.