


Meta S. Brown helps organizations use practical data analysis to solve everyday business problems.
Meer over Meta BrownData Mining For Dummies
Samenvatting
Delve into your data for the key to success
This friendly guide shows you why it doesn’t take a data scientist to reap the benefits of exploring data independently, making informative discoveries, and putting the information to work. Written for those who know more about their business than math, this resource quickly gets you up–to–speed on how data mining can push your company to the top.
- Learn the laws of data mining - get a grip on the principles of data mining, find out how to make data your informant, and set your data mining goals
- A day in the life of a data miner - get to know the members of a typical data mining team, leverage your colleagues complementary skills and knowledge, and frame your work with a standard industry practice
- Define and refine - establish a framework for data mining, drill into the CRISP–DM process, and establish good habits
- Make a career in modeling - discover why modeling is the data miner s path to knowing the unknown
- Dig into your data draw - on the knowledge that you and other members of your team have accumulated from experience and training to extract useful information from data
Open the book and find:
- Common–sense steps for data mining success
- Guidance on letting your business needs direct your software selection process
- Ways to unearth data you already have
- How to conduct experiments no lab coat required
- Public sources for data
- Guidance on buying data and searching for suppliers
- Plain–English explanations of correlation
- The most common nonlinear models
Specificaties
Inhoudsopgave
Part 1: Getting started with Data Mining
1. Catching the Data Mining train
2. A day in your life as a Data Miner
3. Teaming up to reach your goals
Part 2: Exploring Data-Mining mantras and methods
4. Learning the laws of Data-Mining
5. Embracing the Data-Mining process
6. Planning for Data-Mining success
7. Gearing up with the right software
Part 3: Gathering the raw materials
8. Digging into your data
9. Making new data
10. Ferreting out of public data sources
11. Buying data
Part 4: A Data miner’s survival kit
12. Getting familiar with your data
13. Dealing in graphic detail
14. Showing your data who’s boss
15. Your exciting career in modeling
Part 5: More Data-Mining methods
16. Data-Mining using classic statistical methods
17. Mining data for clues
18. Expanding your horizons
Part 6: The part of tens
19. Ten great resources for Data-Miners
20. Ten useful kinds of analysis that complement Data-Mining
A: Glossary
B: Data-Mining software sources
C: Major data vendors
D: Sources and citations
Index
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