Among the knowledge areas in which process mining has had an impact, the audit domain is particularly striking. Traditionally, audits seek evidence in a data sample that allows making inferences about a population. Mistakes are usually committed when generalizing the results and anomalies; therefore, they appear in unprocessed sets; however, there are some efforts to address these limitations using process-mining-based approaches for fraud detection. To the best of our knowledge, no fraud audit method exists that combines process mining techniques and visual analytics to identify relevant patterns. This paper presents a fraud audit approach based on the combination of process mining techniques and visual analytics. The main advantages are: (i) a method is included that guides the use of the visual capabilities of process mining to detect fraud data patterns during an audit; (ii) the approach can be generalized to any business domain; (iii) well-known process mining techniques are used (dotted chart, trace alignment, fuzzy miner…). The techniques were selected by a group of experts and were extended to enable filtering for contextual analysis, to handle levels of process abstraction, and to facilitate implementation in the area of fraud audits. Based on the proposed approach, we developed a software solution that is currently being used in the financial sector as well as in the telecommunications and hospitality sectors. Finally, for demonstration purposes, we present a real hotel management use case in which we detected suspected fraud behaviors, thus validating the effectiveness of the approach.

Diversity indices have been traditionally used to capture the biodiversity of ecosystems by measuring the effective number of species or groups of species. In contrast to abundance, which grows with the amount of data available and is sensitive to the appearance of small groups, diversity indices provide a more robust indicator on the variability of individuals. These types of indices can be employed in the context of digital libraries to analyse their content and metadata. They can be used, for example, to identify trends in the distribution of topics, to compare the lexica employed by different authors or to analyse the coverage of semantic metadata. In this article, the lexical diversity is measured through one of the most common indices employed to evaluate diversity, the Shannon index. The experiments show that this index slowly grows with the length of the text used to calculate it. As this growth has the diversity value as ceiling, the curves show that the true value of diversity will only be reached for very large samples. Unfortunately, the available text is often not long enough to achieve the convergence. This paper introduces therefore a new model for the calculation of the asymptotic value of the Shannon diversity of the vocabulary which outperforms traditional models. As regards metadata in digital libraries, we use the new model to analyse the topical specialization of a digital library and its time evolution and propose a more robust way to measure the variety of tags (classes and properties) employed by digital libraries to describe their holdings in Linked Open Data repositories.

The development of cooperative, flexible and reusable learning environments is a need in modern education. IMS learning design specifications have played a very important role in modelling and describing complex learning sequences; these tools and applications are used for making this standard design and interpretation easier. On the other hand, grid computing is starting to be used in teaching learning processes to solve complex tasks that require computing power and storage capacity. In this article, some alternatives are given to combine grid computing with teaching learning processes based on IMS learning design. Some elements are proposed to be considered in designing a grid learning object (GLOB) to achieve communication with the "IMS learning design engine". We have applied this method in designing a learning unit about the diagnosis of diseases in animals through images.

Information about the paper titled "A FRAMEWORK FOR APPROACHING CHATBOTS IN PROJECT-BASED LEARNING" at IATED Digital Library

Information about the paper titled "PROPOSAL OF AN AGILE METHOD FOR THE DESIGN OF THEMED HIGH EDUCATION PRACTICAL ACTIVITIES" at IATED Digital Library