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Vol 10, Issue 9, Sept / 2019 ISSN NO: 03779254AN ITERATIVE CLASSIFICATION SCHEME FOR SANITIZING LARGE SCALE DATASETS 1A.MANAMA, 2P MURAL PONAGANTI 1MCA Student, 2Associate Professor DEPARTMENT OF

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How to fill out an iterative classification scheme

01

Start by defining the categories or classes that you want to classify the data into

02

Gather the data that needs to be classified

03

Create the classification model or algorithm that will assign each data point to a specific category

04

Train the model using a training dataset

05

Evaluate the performance of the model using a validation dataset

06

Refine the model based on the evaluation results

07

Repeat the training and evaluation process until the model achieves satisfactory performance

Who needs an iterative classification scheme?

01

Researchers who are looking to categorize large datasets

02

Companies that want to automate the process of sorting data

03

Any organization that needs to extract useful information from unstructured data

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What is an iterative classification scheme?

An iterative classification scheme is a system that classifies entities or objects based on specific criteria in order to organize and categorize them.

Who is required to file an iterative classification scheme?

Entities or individuals who need to organize and categorize their data or information based on specific criteria are required to file an iterative classification scheme.

How to fill out an iterative classification scheme?

To fill out an iterative classification scheme, one must carefully analyze the data or information to be categorized, determine the criteria for classification, and accurately input the relevant details.

What is the purpose of an iterative classification scheme?

The purpose of an iterative classification scheme is to facilitate the organization and categorization of data or information, making it easier to retrieve and analyze.

What information must be reported on an iterative classification scheme?

An iterative classification scheme typically requires information such as the criteria for classification, the entities being classified, and any relevant details or attributes.

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