Data Mining For Dummies

Meta S. Brown

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

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Beschreibung

Delve into your data for the key to success

Data mining is quickly becoming integral to creating value and
business momentum. The ability to detect unseen patterns hidden in
the numbers exhaustively generated by day-to-day operations allows
savvy decision-makers to exploit every tool at their disposal in
the pursuit of better business. By creating models and testing
whether patterns hold up, it is possible to discover new
intelligence that could change your business's entire paradigm for
a more successful outcome.

Data Mining for Dummies shows you why it doesn't take a
data scientist to gain this advantage, and empowers average
business people to start shaping a process relevant to their
business's needs. In this book, you'll learn the hows and whys of
mining to the depths of your data, and how to make the case for
heavier investment into data mining capabilities. The book explains
the details of the knowledge discovery process including:

Model creation, validity testing, and interpretation
Effective communication of findings
Available tools, both paid and open-source
Data selection, transformation, and evaluation

Data Mining for Dummies takes you step-by-step through a
real-world data-mining project using open-source tools that allow
you to get immediate hands-on experience working with large amounts
of data. You'll gain the confidence you need to start making data
mining practices a routine part of your successful business. If
you're serious about doing everything you can to push your company
to the top, Data Mining for Dummies is your ticket to
effective data mining.

Autorentext

Meta S. Brown helps organizations use practical data
analysis to solve everyday business problems. A hands-on data miner
who has tackled projects with up to $900 million at stake, she is a
recognized expert in cutting-edge business analytics.

Zusammenfassung
Delve into your data for the key to success Data mining is quickly becoming integral to creating value and business momentum. The ability to detect unseen patterns hidden in the numbers exhaustively generated by day-to-day operations allows savvy decision-makers to exploit every tool at their disposal in the pursuit of better business. By creating models and testing whether patterns hold up, it is possible to discover new intelligence that could change your business's entire paradigm for a more successful outcome.

Data Mining for Dummies shows you why it doesn't take a data scientist to gain this advantage, and empowers average business people to start shaping a process relevant to their business's needs. In this book, you'll learn the hows and whys of mining to the depths of your data, and how to make the case for heavier investment into data mining capabilities. The book explains the details of the knowledge discovery process including:

Model creation, validity testing, and interpretation
Effective communication of findings
Available tools, both paid and open-source
Data selection, transformation, and evaluation
Data Mining for Dummies takes you step-by-step through a real-world data-mining project using open-source tools that allow you to get immediate hands-on experience working with large amounts of data. You'll gain the confidence you need to start making data mining practices a routine part of your successful business. If you're serious about doing everything you can to push your company to the top, Data Mining for Dummies is your ticket to effective data mining.

Inhalt

Introduction 1

Part I: Getting Started with Data Mining 5

Chapter 1: Catching the Data-Mining Train 7

Chapter 2: A Day in Your Life as a Data Miner 17

Chapter 3: Teaming Up to Reach Your Goals 49

Part II: Exploring Data-Mining Mantras and Methods 61

Chapter 4: Learning the Laws of Data Mining 63

Chapter 5: Embracing the Data-Mining Process 73

Chapter 6: Planning for Data-Mining Success 89

Chapter 7: Gearing Up with the Right Software 97

Part III: Gathering the Raw Materials 109