CS.412 DATA MINING (WEEK 1).pdf

Introduction to Data Mining and Knowledge Discovery Jasser Arabani T. Dawabi 01 What is Data Mining? Data mining is the process of sorting through large data sets to identify patterns and relationships that can help solve business problems through data analysis. Uses of Data Mining Telecommu...

Introduction to Data Mining and Knowledge Discovery Jasser Arabani T. Dawabi 01 What is Data Mining? Data mining is the process of sorting through large data sets to identify patterns and relationships that can help solve business problems through data analysis. Uses of Data Mining Telecommunications Insurance Finance and Media Insurance companies can Financial companies makes Telecommunication create complex models for use of data mining for better companies can use detecting fraudulent claims, market risk evaluation and customer data to predict risk management, and maximize stock market customer behavior and offer customer compliance returns targeted ads and campaigns Uses of Data Mining Retail Healthcare Manufacturing Supermarkets use joint Data mining helps doctors Implement just-in-time purchasing patterns to identify create more accurate diagnoses fulfillment by predicting when product associations and using patient medical history, new supplies should be decide how to place them in physical examination results, ordered or when equipment is aisles and shelves medications, and treatment likely to fail. patterns. Common Data Mining Techniques 02 Classification Clustering Prediction Regression Association Rules Types of Data Mining Classification Clustering Regression Classification is a process in Clustering refers to the Regression is used to identify which data points from large process of grouping a series of and analyze the relationship data sets are assigned to different data points based on between variables because of categories based on how their characteristics. the presence of the other they’re being used. factor. Types of Data Mining Prediction Association Rules Prediction examine data sets Association rules are used to to find patterns and trends, find correlations, or then calculate the associations, between points in probabilities of a future a data set. outcome. Thank You Sources: https://www.sas.com/en_ph/insights/analytics/data- mining.html#:~:text=Data%20mining%20is%20the%20process,relationships%2C%20reduce%20risks%20and%20more. https://www.sap.com/insights/what-is-data-mining.html https://observationbaltimore.com/blog/data-mining-why-is-it-important/ https://light-it.net/blog/reasons-why-companies-are-obsessed-with-data-mining/ https://www.loginworks.com/blogs/217-data-mining-and-its-importance/ https://www.iberdrola.com/innovation/data-mining-definition-examples-and-applications https://bootcamp.pe.gatech.edu/blog/10-key-data-mining-techniques-and-how-businesses-use- them/#:~:text=There%20are%20numerous%20crucial%20data,%2C%20neural%20networks%2C%20and%20prediction. https://www.javatpoint.com/data-mining-techniques https://www.netsuite.com/portal/resource/articles/data-warehouse/data-mining.shtml