DAML_Data Preprocessing

There are Three types of Dirty Data. Which one is NOT one of them?

• Inconsistent

• Incomplete

• Big Size

• Noise

Normalization and aggregation is one type of Major Tasks in Data Pre-Processing called as.....

• Data cleaning

• Data transformation

• Data integration

• Data reduction

We can clean our data by these methods, except...

• Managing categorical attributes

• Identify outliers

• Fill in missing values

• Resolve redundancy caused by data integration

....................also called discretization or bucketing is a data preprocessing technique used to reduce the effect of small observation errors or noise by grouping continuous numerical values into intervals or categories.

• Binning

• Regression

• Combined computer and human inspection

• Clustering

step number 7 in data pre-processing is....

• splitting the dataset into training and testing

• spelling the dataset into training and testing

• encoding the dataset into training and testing

• scaling the dataset into training and testing

Encoding is needed because....

• it is the nature of life

• requirements for data transformation

• machine can understands numbers

• required by the operating system

Diagram showed one type of analysis method to handle noisy data. This method is called as...

• Clustering

• Classification

• Regression

• Reinforcement

Redundant attributes may be able to be detected by ............................ analysis

• test

• correlation

• data cleaning

• importing libraries

Normalization: Scaled to fall within a small, specified range. In chapter one we learnt this normalization method as a........

• label encoding

• feature scalling

• splitting dataset

• importing libraries

My name is....(without title and Bin)

• Afizan Azman
• Dr Azman

• Assoc Prof Azman

• Hafizan Hazman