Introduction to Data Mining, Business Intelligence and Data Science

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Asst. Prof. Dr. Jirapun Daengdej Faculty of Science and Technology Assumption University [email protected] 1

Transcript of Introduction to Data Mining, Business Intelligence and Data Science

Page 1: Introduction to Data Mining, Business Intelligence and Data Science

Asst. Prof. Dr. Jirapun Daengdej

Faculty of Science and Technology

Assumption University

[email protected]

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2 http://www.greenbookblog.org/2013/05/16/are-you-burning-away-your-data-fuel/

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The problem is…..

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Background

Your Expectations & Pain Points?

What is “Data Mining”?

What is “Business Intelligence”?

What is “Data Science”?

Real-World Cases

Contents

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Background

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Background

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Background

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Background

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Background

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What about “Data Game”?

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Figures don't lie, the old saying, but liars can figure. Put another way, even accurate and honest-in-itself data can be presented in misleading ways to support a less-than-honest result. To protect against data-

rich lies, we must learn to understand the limitations of data and

how it can be used - even inadvertently - to mislead.

http://www.grtcorp.com/content/data-may-not-lie-liars-can

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Your Expectations & Pain Points?

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YOUR Expectation(s) and Pain Points?

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What is “Data Mining”?

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Definition

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Data mining is the application of specific algorithms for extracting patterns from data. The distinction

between the KDD process and the data-mining step (within the process) is a central point…

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"Data mining" was introduced in the 1990s, but data mining is the evolution of a field with a long history.

History

http://www.unc.edu/~xluan/258/datamining.html

Data mining roots are traced back along three family lines: • classical statistics, • artificial intelligence, • and machine learning.

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Data Mining & Stats?

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What is “Business Intelligence”?

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Business intelligence (BI) is an umbrella term that includes the applications, infrastructure and tools, and

best practices that enable access to and analysis of information to improve and optimize decisions and

performance.

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Definitions

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BI 1.0 - 2.0 - 3.0

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http://smartdatacollective.com/yellowfin/195811/defining-business-intelligence-30

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What Business want from BI?

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Buyers Overwhelmingly Want Better Data Visualization

http://www.softwareadvice.com/bi/buyerview/report-2014/

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What is “Data Science”?

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http://www.datasciencecentral.com/profiles/blogs/17-analytic-disciplines-compared

http://www.quora.com/What-is-the-difference-between-Data-Analytics-Data-Analysis-Data-Mining-Data-Science-Machine-Learning-and-Big-Data-1

http://www.kdnuggets.com/2013/10/7-steps-learning-data-mining-data-science.html

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Definition?

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Related Qualification?

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http://www.becomingadatascientist.com/2014/06/13/doing-data-science-review/

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Data Science vs. Data Analytics

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http://datascientistinsights.com/2013/09/09/data-analytics-vs-data-science-two-separate-but-interconnected-disciplines/

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Relationship between them?

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What do you think?

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Real-World Cases

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Real-World Cases

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2005….Yahoo!'s users,

through their use of our network of products,

generate over 10 terabytes

of data per day. This is the

equivalent of the entire text contents of the library of Congress. This is data that describes product usage, and does not include content, email, or images, etc.

http://www.kdd.org/newsletter/explorations-october-2005

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From Yahoo! To DigiMine

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1. Understanding and Targeting Customers

2. Understanding and Optimizing Business Processes

3. Personal Quantification and Performance Optimization

4. Improving Healthcare and Public Health

5. Improving Sports Performance

6. Improving Science and Research

7. Optimizing Machine and Device Performance

8. Improving Security and Law Enforcement.

9. Improving and Optimizing Cities and Countries

10. Financial Trading

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The Awesome Ways Big Data Is Used Today To Change Our World

http://www.datasciencecentral.com/profiles/blogs/the-awesome-ways-big-data-is-used-today-to-change-our-world

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Q & A

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