Application of Associative Classifier for Data Sparsity in Predictive Analysis Recommendation

Abstract

The researchers developed a web-based tool entitled, BizScout: Application of Associative Classifier for Data Sparsity in Predictive Analysis, which recommends an appropriate business that can be established in the chosen area of interest by utilizing associative classifier and apriori algorithm. The study aims to help individuals who plans to venture into entrepreneurship but lacks the knowledge on what business to start. Also, this study will help in regards to Computer Science students in terms of using Associative Classification on predictive analysis as well as apriori algorithm on data mining. The developed tool uses two main process the preprocessing and the Associative Classification. The developed tool resulted to 76.67% of accuracy in terms of business recommendations for the chosen area of interest and 4.44 weighted mean which is Moderately High for the appropriateness of the recommended business for the chosen location using associative classification.