Table 2.

Dataset arrangement procedures.

Data Mining Task	Description	Techniques
Segmentation or Clustering	The groupings that characterize the data are clustered.	•Cluster Analysis •Bayesian Classification
Data Classification	Insert the labels into the dataset.	•Artificial Neural Networks •Support Vector Machines
Data Association	Analyzing user relationships and discussion clusters	•Association Rules •Beyesian Networks
Data Deviations	Wrapping up the components in order to comprehend the information spread	•Cluster Analysis •Outlier detection •Evolution Analysis
Trends Analysis	Lines and curves that summarize the database, frequently over time	•Regression •Sequence Pattern Extraction
Data Generalization	Data descriptions that are brief	•Summary Rules •Attribute-Orientated Induction

Source: Rob Kitchin, 2014 [35].