Data Mining project on Cyclists Datasets

Project for the Data Mining course @ University of Pisa

Authors: Francesco Paolo Liuzzi, Francesco Aliprandi, Francesco Simonetti

Abstract

Data Mining project carried out on two datasets comprises of a set of professional cycling races, spanning several years in time. The project consists of data analysis based on data mining tools divided into four tasks:

Task 1: Data Understanding and Preparation

Task 1.1: Data Understanding, explore the dataset with the analytical tools. Evaluate data quality, distribution of variables and pairwise correlations

Task 1.2: Data Preparation, improve the quality of the data and prepare them by extracting new interesting features to describe ...

Task 2: Clustering analysis,

Task 3: Predictive Analysis,

Task 4: