Basic HTML Version

|  | Table of Contents |  | View Full Version

Page 14 - CT_AI_Class-7
P. 14

    Based on Data Structure

                      Data structure refers to how data is organised, such as in tables, files or unstructured formats.
                      Datasets can be classified based on their organisation and structure into the following types:

                        Structured  data: Structured  data  refers  to data  that  is neatly
                         organised  in a fixed format, such as rows  and columns in tables
                         or databases, making it easy for machines to store, process and
                         analyse. An example of structured data is spreadsheets or databases
                         in which data is stored such as student records with names, marks
                         and roll numbers.

                                            Semi-structured data: Semi-structured data is a type of data that does
                                              not follow  a strict  table  format but  still contains  some  organisational
                                              elements, such as tags or labels, which help machines understand and
                                              process it. An example of semi-structured data is an email which contain
                                              structured elements such as the sender, recipient, timestamp and subject

                                              line, which follow a predictable format. However, the body of the email
                                              itself  is  unstructured,  as  it  can  contain  free-form text,  images  and
                                              attachments.

                        Unstructured data: Unstructured data refers to data that does not
                         have any predefined format or organisation, such as text, images,
                         videos or audio, making it more complex for machines to analyse.

                         An example of unstructured data is a collection of photos and videos
                         shared on social media does not follow a fixed structure.

                        Hybrid  data: Hybrid  datasets  are a combination  of structured,  semi-structured  and
                         unstructured data. They contain multiple types of data within a single dataset.

                      This type  of dataset  is  commonly  found  in real-world  applications,  where different  forms of
                      data are collected and used together for better insights and decision-making. An example of
                      hybrid datasets is e-commerce platforms combining transaction data, product descriptions and
                      customer reviews.

                       12        Artificial Intelligence (CT & AI)-VII

| 9 10 11 12 13 14 15 16 17 18 19 |