Data Mining For Dummies (PDF)
(Sprache: Englisch)
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...
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...
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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 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.
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.
Autoren-Porträt von Meta S. Brown
Meta S. Brown helps organizations use practical dataanalysis 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.
Bibliographische Angaben
- Autor: Meta S. Brown
- 2014, 1. Auflage, 416 Seiten, Englisch
- Verlag: John Wiley & Sons
- ISBN-10: 1118893190
- ISBN-13: 9781118893197
- Erscheinungsdatum: 04.09.2014
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 15 MB
- Mit Kopierschutz
Sprache:
Englisch
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