Data Mining - Final Exam

Is a perfect machine learning and data mining software suite.

• Orange

• SAS

• DataMelt

• Rapid Miner

Can mine data, change it, manage information from various sources, and analyze statistics.

• Orange

• SAS

• DataMelt

• Rapid Miner

Is a computation and visualization environment which offers an interactive structure for data analysis and visualization.

• Orange

• SAS

• DataMelt

• Rapid Miner

Is one of the most popular predictive analysis systems. It is written in JAVA programming language.

• Orange

• SAS

• DataMelt

• Rapid Miner

Is a technique of discovering different kinds of patterns that are inherited in the data set and which are precise, new, and useful data

• Data Mining

• Machine learning

• DataMelt

• Rapid Miner

Includes an algorithm that automatically improves through data-based experience.

• Data Mining

• Machine learning

• DataMelt

• Rapid Miner

Includes an algorithm that automatically improves through data-based experience.

• Data Mining

• Machine learning

• DataMelt

• Rapid Miner

Is an unsupervised Machine Learning-based Algorithm that comprises a group of data points into clusters so that the objects belong to the same group.

• Data Mining

• Machine learning

• Clustering

• Rapid Miner

in clustering implies that as we boost the amount of data objects, the time to perform clustering should approximately scale to the complexity order of the algorithm.

• Scalability

• Interpretability

• Discovery of clusters with attribute shape

• Algorithms

The outcomes of clustering should be interpretable, comprehensible, and usable.

• Scalability

• Interpretability

• Discovery of clusters with attribute shape

• Algorithms