FUNDAMENTALS OF COMPUTER

DATABASE FUNDAMENTALS

DATA WAREHOUSING AND DATA MINING

Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
Choose which data mining task is the most suitable for the following scenario:Predict fraudulent cases in credit card transactions
A
Classification
B
Association rules
C
Anomaly detection
D
Clustering
Explanation: 

Detailed explanation-1: -It includes various tasks such as classification, clustering, discrimination, characterization, association, and evolution analysis.

Detailed explanation-2: -Predictive model data mining tasks include classification, prediction, regression and time series analysis. The Descriptive task encompases methods such as Clustering, Summarizations, Association Rules, and Sequence analysis (Fig. 1). or numeric value.

Detailed explanation-3: -Association Rule Discovery (Unsupervised) Produce dependency rules which will predict the occurrence of an item based on occurrences of other items.

Detailed explanation-4: -Clustering: this data mining task is targeted to identify a finite set of categories or groupings (clusters) to describe the data.

There is 1 question to complete.