Two-dimensional gas chromatography is amongst the most powerful separation technologies currently available. Since its advent in 1990, it has become an established method which is readily available. However, one of its most challenging aspects, especially in hyphenation with mass spectrometry, is the high amount of chemical information it provides ...
This book provides the reader with the fundamental knowledge in the area of deep learning with application to visual content mining. The authors give a fresh view on Deep learning approaches both from the point of view of image understanding and supervised machine learning. It contains chapters which introduce theoretical and mathematical foundatio...
Pattern mining is an enumeration technique used to discover knowledge from databases. This Habilitation thesis summarizes our main contributions regarding user-centric pattern mining. First, we introduce the pattern-oriented relational algebra (PORA), which is the formalism used throughout the thesis. We add a domain operator to the relational alge...
This study aims to improve of secondhand market model used in the Maritime Business Game (MBG) & to judge the relevance of three data mining algorithms. Pruyn developed MBG to simulate the long term consequences of various shipping scenarios. MBG consists of three multilevel models to represent the maritime economy. Starting from the Multi Country ...
Designing appealing products plays a key role in commercial success. Understanding the relationships between aesthetic properties and shape characteristics of a product can contribute to define user-friendly and interactive designing tools supporting the early design phases. This paper introduces a generic framework for mapping aesthetic properties...
International audience
Published in E3S Web of Conferences
Higher education has an important role to develop human resources in the economic growth and development of the country. One of specific way of evaluating and analyze data in education is to use data mining techniques. C4.5 algorithm as one of the data mining techniques that have good performance is very relevant used for data analysis tools. In th...
Published in E3S Web of Conferences
Combining the search method for fire suppression routes with ant colony algorithms and methods of analyzing twitter events on the highway is the basis of the problems to be studied. The results of the twitter data feature extraction are classified with Support Vector Machine after it is implemented in the Simple Additive Weighting method in calcula...
L'abstract è presente nell'allegato / the abstract is in the attachment
Published in Global Jurist
Data Mining (DM) is the analytical activity aimed at revealing new “knowledge” from data useful for further decision-making processes. These techniques have recently acquired enormous importance as they seem to fit perfectly the requests of the so called “Data Driven World”. In this paper, first I give an overview of DM, and of the most relevant cr...
