Boston Housing Dataset Analysis: Business Analytics Report

This report analyzes the Boston Housing dataset, provided by a real estate consulting firm, using data mining techniques to solve business problems. The report begins with an introduction, followed by a detailed methodology section that explains the use of association rule mining in the Weka tool to identify relationships between data items within the dataset. The dataset description covers its attributes, and the data preprocessing steps are explained, including the use of filters and normalization. The analysis and findings section focuses on association rule mining, presenting the results obtained using the Apriori algorithm. The results and discussion section interprets the findings, highlighting how the association rules can be used to improve business processes and support decision-making. The report concludes by summarizing the key findings and their implications for the real estate firm. References to relevant sources are also included.