Advances in Knowledge Discovery and Management
Volume 2
Chapter
Sequence analysis is a data mining technique that is increasingly gaining ground in learning analytics. Sequence analysis enables researchers to extract meaningful insights from sequential data, i.e., to summa...
Article
The study uses administrative data from Luxembourg to investigate fathers’ decisions to use parental leave. We focus on two measures of opportunity cost: the difference between the parental leave benefit and t...
Chapter
This introductory chapter briefly describes the development of sequence analysis in social sciences from the pioneering contributions made by Andrew Abbott to date. We then discuss the future of sequence analy...
Chapter
A vast body of research examined changing employment relations and the ensued employment precarity. However there is a lack of quantitative tools able to assess the extent and impact of precarity overtime and ...
Chapter
In the population history of European pre-industrial population, late marriage and high level of final celibacy are seen as the most important components of demographic regimes, avoiding an excessive demograph...
Book
Chapter and Conference Paper
The tutorial is devoted to categorical sequence data describing for instance the successive buys of customers, working states of devices, visited web pages, or professional careers. Addressed topics include th...
Chapter and Conference Paper
The tutorial is devoted to categorical sequence data describing for instance the successive buys of customers, working states of devices, visited web pages, or professional careers. Addressed topics include th...
Chapter and Conference Paper
This paper is concerned with the summarization of a set of categorical sequences. More specifically, the problem studied is the determination of the smallest possible number of representative sequences that en...
Book
Chapter
Many algorithms of machine learning use an entropy measure as optimization criterion.Among the widely used entropy measures, Shannon’s is one of the most popular. In some real world applications, the use of su...
Chapter
In this article we consider objects for which we have a matrix of dissimilarities and we are interested in their links with covariates. We focus on state sequences for which pairwise dissimilarities are given ...
Chapter
This chapter is concerned with the organization of categorical sequence data. We first build a typology of sequences distinguishing for example between chronological sequences and sequences without time conten...
Chapter and Conference Paper
This article presents some of the facilities offered by our TraMineR R-package for clustering and visualizing sequence data. Firstly, we discuss our implementation of the optimal matching algorithm for evaluat...
Chapter and Conference Paper
We propose to evaluate the quality of decision trees grown on imbalanced datasets with a splitting criterion based on an asymmetric entropy measure. To deal with the class imbalance problem in machine learning...
Chapter and Conference Paper
This paper deals with the automatic retrieval of issues reported in legal texts and presents an experience with expert’s reports on the application of ILO Conventions. The aim is to provide the end user, i.e....
Chapter
Implicative statistics criteria have proven to be valuable interestingness measures for association rules. Here we highlight their interest for classification trees. We start by showing how Gras' implication i...
Chapter and Conference Paper
The reliability of induced classification trees is most often evaluated by means of the error rate. Whether computed on test data or through cross-validation, this error rate is suited for classification purpo...
Chapter and Conference Paper
This paper highlights the interest of implicative statistics for classification trees. We start by showing how Gras’ implication index may be defined for the rules derived from an induced decision tree. Then, ...
Chapter and Conference Paper
This paper presents a full scaled application of induction trees for non-classificatory purposes. The grown trees are used for highlighting regional differences in the women’s labor participation, by using dat...