Data mining is the process of sorting through large data sets to identify patterns and establish relationships to solve problems through data analysis. Data mining tools allow enterprises to predict future trends. In data mining, association rules are created by anIn data mining, association rules are created by analyzing data for frequent if/then patterns, then using the support and confidence criteria to locate 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.alyzing data for frequent if/then patterns, then using the support and confidence criteria to locate 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.

Data mining methods

1. Anomaly detection

Anomaly detection can be used to determine when something is noticeably different from the regular pattern.

2. Association learning

Association learning, or market-basket analysis, is used to analyze which things tend to occur together either in pairs or larger groups.

3. Cluster detection

Recognizing distinct groups or sub-categories within data is called cluster detection. Machine learning algorithms detect significantly differing subgroups within a dataset.

4. Classification

Unlike cluster detection, classification deals with things that already have labels. This is referred to as training data — when there is information existing that can be trained on, or rather easily classified with an algorithm.

5. Regression

The regression method is used to make predictions based on relationships within the data set. As mentioned above, future engagement on Facebook can be predicted based on everything in the user’s history — likes, photo tags, comments and interactions with other users, friend requests and all other activity on the site.

References

Search Technologies. (n.d.). How to Acquire Content from the Internet for Data Mining. [online] Available at: https://www.searchtechnologies.com/blog/web-content-extraction-data-mining [Accessed 12 Jun. 2019].

Search Technologies. (n.d.). How to Acquire Content from the Internet for Data Mining. [online] Available at: https://www.searchtechnologies.com/blog/web-content-extraction-data-mining [Accessed 12 Jun. 2019].

The Daily Universe. (n.d.). 5 data mining methods – The Daily Universe. [online] Available at: https://universe.byu.edu/2018/03/27/data-mining-sidebar/ [Accessed 12 Jun. 2019].

The Verge. (n.d.). The Cambridge Analytica scandal.

Available at: https://www.theverge.com/2018/4/10/17165130/facebook-cambridge-analytica-scandal [Accessed 12 Jun. 2019].

TurboFuture. (n.d.). Facebook and Data Mining. [online] Available at: https://turbofuture.com/internet/How-Facebook-Collects-and-Sells-Your-Data [Accessed 12 Jun. 2019].