In this ppt slide&nbsp;we will discuss about <a href="https://desklib.com/document/business-analysis-fanz/" target="_blank">business analysis</a> and below are the summaries point:-

<ul>
	<li>
	Project objective: Apply data mining techniques to resolve a business problem using the <a href="https://desklib.com/document/boston-housing-data-analysis-dwdj/" target="_blank">Boston housing dataset</a>.
	</li>
	<li>
	Dataset analysis: Understand and discover relationships among the attributes in the Boston housing dataset.
	</li>
	<li>
	Business analysis tasks: List potential business analysis and provide effective solutions using classification and prediction algorithms.
	</li>
</ul>

In this ppt slide&nbsp;we will discuss about business analysis and below are the summaries point:-


	
	Project objective: Apply data mining techniques to resolve a business problem using the Boston housing dataset.
	
	
	Dataset analysis: Understand and discover relationships among the attributes in the Boston housing dataset.
	
	
	Business analysis tasks: List potential business analysis and provide effective solutions using classification and prediction algorithms.

ICT Business Analysis & Data Visualization Group Assignment – Business Analysis Case Study Report

Apply data mining techniques to resolve a business problem using a Boston housing dataset. Propose a business analytics report to solve practical problems identified in an ICT business project.

Explore data mining techniques applied to the Boston housing dataset for effective business analysis and solutions.

Using Data Mining Techniques for Business Analysis and Data Visual

Business Analysis & Data Visualization: Resolving Business Problems with Data Mining Techniques

In this assignment we will discuss about ICT business analysis &amp; data visualization and below are the summaries point:-


	
	Project objective: Apply data mining techniques on the Boston housing dataset to address a business problem.
	
	
	Task 1: Understand the dataset, including attributes such as ID, lot size, street type, utilities, and more.
	
	
	Task 2: Discover relationships among dataset attributes using normalization techniques for analysis and insights.
	


Data Science and Big Data

(NIT3171)- Business Analysis Case Study: Understanding the Boston Housing Dataset for Data Mining Techniques

Assignment

This article discusses the practical work on classifier algorithms like Decision Tree, Naïve Bayes, K-Nearest Neighbour and their consequences on the vote.arff dataset using Weka tool. It also explains the confusion matrix and the advantages of each algorithm. The article is relevant for students studying Data Mining and Visualization for Business Intelligence.

Hartpury University and Hartpury College

Data Mining and Visualization for Business Intelligence

Desklib's Enterprise Business Intelligence project explores the applications of data mining and machine learning for business intelligence. The project analyzes the health news dataset using Weka data mining applications and is divided into 10 practicals covering topics such as clustering algorithms, supervised mining, performance evaluation, time series prediction, text mining, and image analytics. The project provides a step-by-step guide to installing Weka software, downloading the data repository, and data pre-processing. The project also includes data visualization and dimension reduction techniques.

Artificial Intelligence

Statistics and Probability

Enterprise Business Intelligence: Data Mining and Machine Learning for Business Intelligence

Practical

This activity explores the applications of data mining and machine learning for business intelligence using the health news dataset and Weka software. It covers topics such as clustering, classification, performance evaluation, time series prediction, text mining, and image analysis.

Utilizing Data Mining and Machine Learning for Business Intelligence

Data Mining and Visualisation for Business Intelligence

Charles Sturt University

Classification Performance Evaluation Tasks 2022

Tasks

This research paper discusses the classification of breast cancer data obtained from the University of Wisconsin hospital using machine learning techniques and regression analysis. The paper provides an overview of the dataset, data pre-processing, and different classification algorithms such as Naïve-Bayes, K2 search, LAGDHillClimber search, Simulated Annealing search, TAN search, and TabuSearch algorithm. The results of different methods are compared to choose the best method based on the absolute error in model, confusion matrix, and other properties of the output. The best classifier model for the breast cancer data is found to be Bayes network with Tabu search algorithm.

Business Analysis & Data Visualization: Resolving Business Problems with Data Mining Techniques

End of preview

(NIT3171)- Business Analysis Case Study: Understanding the Boston Housing Dataset for Data Mining Techniques

Data Mining and Visualization for Business Intelligence

Enterprise Business Intelligence: Data Mining and Machine Learning for Business Intelligence

Utilizing Data Mining and Machine Learning for Business Intelligence

Classification Performance Evaluation Tasks 2022

Classification of Breast Cancer Data of Wisconsin Hospital

Business Analysis & Data Visualization: Resolving Business Problems with Data Mining Techniques

End of preview

(NIT3171)- Business Analysis Case Study: Understanding the Boston Housing Dataset for Data Mining Techniqueslg...

Data Mining and Visualization for Business Intelligencelg...

Enterprise Business Intelligence: Data Mining and Machine Learning for Business Intelligencelg...

Utilizing Data Mining and Machine Learning for Business Intelligencelg...

Classification Performance Evaluation Tasks 2022lg...

Classification of Breast Cancer Data of Wisconsin Hospitallg...

(NIT3171)- Business Analysis Case Study: Understanding the Boston Housing Dataset for Data Mining Techniques

Data Mining and Visualization for Business Intelligence

Enterprise Business Intelligence: Data Mining and Machine Learning for Business Intelligence

Utilizing Data Mining and Machine Learning for Business Intelligence

Classification Performance Evaluation Tasks 2022

Classification of Breast Cancer Data of Wisconsin Hospital