Ricerc@Sapienza

An important problem on the entrepreneurship field is the precise comprehension of the diffusion dynamics of the ideas and knowledge. In fact ideas can have an important impact on the business and on the managerial decisions. So in this sense the analysis of the evolution of the ideas need to be carefully considered and evaluated. In this work we will propose a time-series cluster analysis of pageviews data of selected topics on Gender in Wikipedia. Results give relevant insights on the evolution of relevant topics as the gender pay and role at work over time.

In this chapter, a survey of the chemometric (data analytical) methods most used for the characterization of plant varieties and cultivars based on spectroscopic measurements is presented. After an introductory section, illustrating the basics of data representation, the main tools for exploratory (descriptive) data analysis and predictive modeling are discussed. In particular, how to predict quantitative responses by multivariate calibration methods and how to assess qualitative attributes by means of classification techniques are addressed.