Flashcards

Data Description

Jason Dsilva Data Mining Bachelors Degree Inglês 8 flashcards

Flashcards do conjunto (8)

1What is a dataset?A dataset is a collection of objects and attributes. E.g customer name, age, address and country. Attributes can be numerical or categorical.
2Data Quality-Accuracy; How accurate?
-Completeness; Any missing data?
-Consistency; Any inconsistency?
-Timeliness; Are there any timely updates?
-Believability; How trustworthy?
-Interpretability; How easy is it to understand?
3TerminologyPopulation: A collection of things under consideration.
Sample: A proportion of a population selected for sampling.
Statistics: A summary of measure computer to describe a characteristic of the sample data.
4Correlation CoefficientUsed to measure the degree of a linear relationship between two variables. If y>0 than positive correlation, however it y<0 its negative correlation.
5Mean, Medium and ModelMean: Sensitive to extreme values e.g Outliers
Medium: Middle values
Mode: Most common number in the dataset. Unimodal if one one number is the model and Bimodal for two modes
6Scatter plots:Shows the relationship between two variables. Linear (Straight line) demonstrates a negative relationship. Non-linear curved relationship shows no relationship.
7Normal Distribution- 68 percent of all values are within one standard deviation on either side of the mean.
- 95 percent are between two standard deviations on either side of the mean.
8Frequency TableContains the outcome along with its frequencies. Allow us to see better distribution of the marks.

Descrição: Bachelors Degree Data Mining FlashCards sobre Data Description, criado por Jason Dsilva em 01-05-2016.
Criado por: Jason Dsilva
Visualizações: 0
Avaliação