The exceptional model mining method of data analysis, which looks for "exceptions" in data patterns, showed not only which specific brain areas responded to pleasant and unpleasant smells, it also ...

Welcome to the laboratory for database and data mining at Simon Fraser university. In today's information society, we witness an explosive growth of the amount of information becoming available in ...

Welcome to the laboratory for database and data mining at Simon Fraser university. In today's information society, we witness an explosive growth of the amount of information becoming available in ...

What is "Data Mining?" Data mining is the process of extracting useful patterns, correlations and insights from large datasets using various computational techniques. It involves analyzing vast ...

Predictive analytics, pattern recognition, and classification problems are not new. Long used in the financial services and insurance industries, predictive analytics is about using statistics, data ...

Identify the core functionalities of data modeling in the data mining pipeline. Apply techniques that can be used to accomplish the core functionalities of data modeling and explain how they work.

This module starts with an overview of data mining methods, then focuses on frequent pattern analysis, including the Apriori algorithm and FP-growth algorithm for frequent itemset mining, as well as ...

This concentration prepares students to utilize collected data to make predictions and discern in them patterns of objects being observed. Statistical analyses, along with forecasting and data mining ...

Data analytics involves analyzing raw data to see if patterns, trends ... reporting tools, data mining programs, and open-source languages. Data analytics can be prescriptive (i.e. X is low ...