Tuesday, September 15, 2020

Word of the Day & Pop Quiz: data mining

 
Word of the Day & Pop Quiz WhatIs.com
Daily updates on the latest technology terms | September 15, 2020

data mining

Data mining is the process of sorting through large data sets to identify repetitive patterns between variables. An important goal of data mining is to uncover hidden patterns and discover relationships in data that can be used to train machine learning algorithms and make predictions that impact businesses.

Data mining, which is a subset of analytics, uses mathematical algorithms to examine large data sets and uncover previously unidentified sequences and correlations. It differs from other types of statistical analysis in that, rather than testing a previously established hypothesis, data mining slices and dices data in many different ways in an effort to reveal something useful.

For example, association rules can be used to analyze data in a database for frequent if/then patterns. Support and confidence criteria can then be used to rank the most important relationships within the data. (Support is how frequently the items appear in the database, while confidence is the number of times if/then statements are accurate.) Continue reading...


 

Take today's Pop Quiz!

                                                          Answers are below

 

1. What do you call a value that can change, depending on conditions or on information passed to the program?

a. variable

b. change agent
Answer

 

2. What type of analysis involves collecting and interpreting data to uncover patterns and trends?

a. statistical analysis

b. empirical analysis
Answer

 

3. Data __________ is a technique used in statistical analysis to identify patterns and trends in a larger data set.

a. sampling

b. dredging
Answer

4. What do you call it when you break a body of information down into smaller parts or examine it from different viewpoints so that you can understand it better?
Answer

 

5. _______________ is a statistical measure that indicates the extent to which two or more variables fluctuate in relation to each other.

a. Correlation

b. Context
Answer

Today's Takeaway

 

"The frenetic pace of technology may end up being the greatest hurdle to sound ethical data mining practices. To do it right, companies need to consider data design and privacy from the beginning of their initiatives..." - Beth Stackpole

Watch and Learn

 

What is data analytics?

Learn how data analysts and data scientists uncover the patterns and relationships found in data sets to gain a competitive advantage over rivals.

Continue Learning

 

The difference between machine learning and statistics in data mining
Learn the difference between machine learning and statistics and how to avoid bias that can skew results.

Data mining evolves in the era of new data science
Whether it's detecting the likelihood of fraud or providing businesses with insights into customer shopping habits, one IT discipline is becoming an increasingly bright star -- data mining.

Governance, compliance, ethics in data mining: Separate but equal
In the ethical mining and analysis of data, governance, compliance and ethics are mistakenly taken as one in the same. Data managers need to be aware of the critical differences.

Data-rich organizations turn focus to ethical data mining
As data analytics has increasingly become a core component of organizations' strategies, concerns have arisen around how data is mined. Experts offer tips.

6 tips for effective customer data mining
Digging into customer data can improve sales opportunities -- but how do you balance that against data privacy concerns? Get insights from data professionals.

Process mining vs. data mining: What's the difference?
Both process mining and data mining tools can help business leaders make better decisions. Here's a look at how each works and what their differences are.

Pop Quiz Answer Key

 

Stay in Touch

 

Thank you for reading! For feedback about any of our definitions or to suggest a new definition (or learning resource) please contact me at mrouse@techtarget.com

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