When we do data pre-processing, we have to do data cleaning, data cleaning start by

Select one:

a. merges data from multiple sources into a coherent data store such as a data warehouse

b. reduce data size by, for instance, aggregating, eliminating redundant features, or clustering

c. remove noise and correct inconsistencies in data

d. normalization or scaled data to fall within a smaller range.

There are several data preprocessing techniques, which of the following is FALSE

Select one:

a. Data cleaning

b. Data Integration

c. Data reduction

d. Data aggregation

Data Unstructure, means...

Select one:

a. data whose elements are addressable for effective analysis. It has been organized into a formatted repository that is typically a database

b. information that does not reside in a relational database but that have some organizational properties that make it easier to analyze, its performance is lower than Structured Data but more than that of Unstructured Data

c. data which is not organized in a predefined manner or does not have a predefined data model, thus it is not a good fit for a mainstream relational database.

d. data about data. It provides additional information about a specific set of data.