319 research outputs found
Synthetic Event Streams
No full textThis package contains 942 synthetic event streams that simulate concept drift in business processes. Each stream has only one drift. Different stream sizes, types and perspective of drift, and noise percentual are applied. Each event in the stream contains four main attributes: case identification, event name, event start time, event completion time
Supplementary material to "GEDI: Generating Event Data with Intentional Features for Benchmarking Process Mining"
No full text<p>This package contains the source code, generated event data and experimental results underlying the<br>paper "GEDI: Generating Event Data with Intentional Features for Benchmarking Process Mining"<br>by Andrea Maldonado, Christian Maximilian Michael Frey, Gabriel Marques Tavares, Nikolina Rehwald and Thomas Seidl.</p>
Tavares Bastos: a liberdade política a partir da descentralização
No full textDissertação (mestrado) - Universidade Federal de Santa Catarina, Centro de Ciências Jurídicas, Programa de Pós-Graduação em Direito, Florianópolis, 2012.Nesse trabalho será explorada a ideia de descentralização política e administrativa no Brasil no período do Segundo Reinado, no pensamento político de Tavares Bastos. Esse autor inova ao apresentar uma proposta de reforma que pretende solucionar de forma conjunta os problemas políticos e sociais de sua época. Questões como a educação, a abolição da escravidão, a imigração estrangeira, a liberdade de cabotagem, são alguns dos temas levantados pelo autor nesse sentido. Pretendia propor um modelo de Estado que tinha como principal objetivo o desenvolvimento moral e material do país. Para tanto adotou a via da descentralização política e administrativa, como forma de promoção de uma política voltada para a liberdade, preocupada com a sorte do povo e comprometida com o desenvolvimento do país. Assim, pretendeu-se relacionar os direitos fundamentais defendidos e promovidos pelo autor para demonstrar que a descentralização aparece como aspecto fundamental para o exercício da liberdade e à promoção do progresso. Abstract: In this paper we explore the idea of political and administrative decentralization in Brazil during the Empire, the political thoughts of Tavares Bastos. This author innovates to propose a reform intended to address jointly the political and social problems of his time. Issues such as education, the abolition of slavery, foreign immigration, freedom of cabotage between ports, are some of the issues brought by the author in this regard. He intended to propose a model of state which had as main objective the moral and material development of the country. For both adopted the path of political and administrative decentralization as a way of promoting a political freedom, worried about the fate of the people and committed to the development of the country. Thus, we sought to relate the fundamental rights protected and promoted by the author to demonstrate that decentralization appears as a fundamental aspect to the exercise of freedom and the promotion of progress
Evaluation Goals for Online Process Mining: a Concept Drift Perspective
No full textOnline process mining refers to a class of techniques for analyzing in real-time event streams generated by the execution of business processes. These techniques are crucial in the reactive monitoring of business processes, timely resource allocation and detection/prevention of dysfunctional behavior. Many interesting advances have been made by the research community in recent years, but there is no consensus on the exact set of properties these techniques have to achieve. This paper fills the gap by identifying a set of evaluation goals for online process mining and examining their fulfillment in the state of the art. We discuss parameters and techniques regulating the balance between conflicting goals and outline research needed for their improvement. Concept drift detection is crucial in this sense but, as demonstrated by our experiments, it is only partially supported by current solutions
META LEARNING IN PROCESS MINING: TOWARD A SYSTEMATIC APPROACH TO DESIGN DATA ANALYTICS PIPELINES WITH EVENT LOGS
No full textWith the democratization of computational resources, organizations pay great attention to recording the execution of internal procedures to improve the quality of their services. Modern information systems track and record in-depth data regarding activities performed within their business processes. The event data describes the actual process performance along with several possible attributes. Process mining stands as a set of techniques that leverage insights from event data. With that, organizations can employ process mining-based approaches to understand the processes' behavior, increase the value of services, save resources and improve execution time.
Given the multitude of tasks within process mining and the plethora of algorithms and solutions, deciding which methods to apply is a complex effort. Notwithstanding that process mining techniques have now achieved the maturity level to cover the entire stack of the data science pipeline, from raw data to decisions. On the one hand, stakeholders detain business and domain knowledge. On the other hand, they often lack the technical expertise to guide choices. Moreover, many tasks require the application of a combination of several steps, i.e., a pipeline. Designing a suitable pipeline becomes then a complex task, enhanced by the fact that domain experts and technical experts are often not the same people.
In this thesis, we propose a task-agnostic framework to automate the design of process mining pipelines. Considering that there is no optimal pipeline for every observable phenomenon, we start from the hypothesis that process behavior might indicate which steps or algorithms are better suited. For that, we rely on a meta-learning approach that maps the relationships between event data and suitable solutions. The application of the proposed framework generates two main contributions. First, given a business process (event log) and a task (e.g., process discovery, trace clustering, anomaly detection), a user can retrieve a pipeline recommendation that best matches the underlying process behavior. The second byproduct of the framework is a systematic mapping of the relationship between event log characteristics and optimal pipelines. This mapping provides experts and data analysts with a solid foundation to better understand the task at hand. That is an enlightenment of the correlation between the problem space (event data), algorithm space (process mining pipelines), and performance space (quality criteria).
We instantiated the framework in three different process tasks. Results indicate that indeed there is a relationship between the different spaces since guided recommendations overcome the current baselines. Therefore, showing the importance of investigating guided solutions and that mapping the spaces can be of interest to organizations. Moreover, we investigate which process features are most decisive for each problem. The presented solution is also suitable for users of different knowledge levels. When applying the framework, an inexperienced user has data-based pipeline recommendations whereas an expert is provided with a quantitative mapping that can be used to leverage the knowledge regarding the process task
Artificial and Natural Topic Detection in Online Social Networks
No full textOnline Social Networks (OSNs), such as Twitter, offer attractive means of social interactions and communications, but also raise privacy and security issues. The OSNs provide valuable information to marketing and competitiveness based on users posts and opinions stored inside a huge volume of data from several themes, topics, and subjects. In order to mining the topics discussed on an OSN we present a novel application of Louvain method for TopicModeling based on communities detection in graphs by modularity. The proposed approach succeeded in finding topics in five different datasets composed of textual content from Twitter and Youtube. Another important contribution achieved was about the presence of texts posted by spammers. In this case, a particular behavior observed by graph community architecture (density and degree) allows the indication of a topic strength and the classification of it as natural or artificial. The later created by the spammers on OSNs
Desenvolvimento de nanoemulsão à base de óleo essencial de Pectis Elongata Kunth para tratar monogenia em Colossoma macropomum.
No full textOrganizadores: Kátia Santos, Gabriel Silva, Rafael Pontes, Marcos Marques, Gilberto Yokomizo, Mábia Toscano, Elizabeth Costa, Luzinete Lopes, Josiane Muller
Towards Trace Variant Explainability
No full textUnderstanding process variability remains a key challenge in process mining, especially when analyzing trace variants that capture diverse behavioral patterns in modern systems characterized by high data volume and complexity. In this paper, we propose a multiview explanation framework that enables interpretable analysis of trace variants through both global and local explanations. Our approach first encodes traces using multiple views—including activity, transition, case, and event-level information—applying nominal and time-based strategies suited to structural and performance aspects. Then, it introduces a dual-layer explanation mechanism: at the global level, variant representatives are compared to a global behavioral profile to highlight key differentiating features; at the local level, individual traces are contrasted with their assigned representatives to reveal the specific factors driving their inclusion. The framework is compatible with various variant analysis techniques, as long as a representative (e.g., medoid or central node) can be defined. We demonstrate the method’s effectiveness using benchmark event logs and interpretable visualizations, showing how it supports transparency, trust, and diagnostic insight in trace variant analysis
User Classification on Online Social Networks by Post Frequency
No full textThis paper proposes a technique for classifying user accounts on social networks to detect fraud in Online Social Networks (OSN). The main purpose of our classification is to recognize the patterns of users from Human, Bots or Cyborgs. Classic and consolidated approaches of Text Mining employ textual features from Natural Language Processing (NLP) for classification, but some drawbacks as computational cost, the huge amount of data could rise in real-life scenarios. This work uses an approach based on statistical frequency parameters of the user posting to distinguish the types of users without textual content. We perform the experiment over a Twitter dataset and as learn-based algorithms in classification task we compared Random Forest (RF), Support Vector Machine (SVM), k-nearest Neighbors (k-NN), Gradient Boosting Machine (GBM) and Extreme Gradient Boosting (XGBoost). Using the standard parameters of each algorithm, we achieved accuracy results of 88% and 84% by RF and XGBoost, respectively
Mornas de Eugénio Tavares na literatura cabo-verdiana
No full textEste trabalho pretende dar a conhecer as mornas de Eugénio Tavares na literatura caboverdiana, estabelecendo uma comparação com as poesias clássicas e românticas do espaço europeu, particularmente com a poesia portuguesa, demonstrando o valor do crioulo na oralidade e na escrita, através deste poeta que chegou a ser apelidado de Camões de Cabo Verde, que, na sua obra, explora a temática amorosa nas composições de morna. Este trabalho demonstra a variação da escrita sobre o amor na poesia em crioulo cabo-verdiano e em língua portuguesa, a fim de mostrar uma perspetiva de escrita diferente da que vigorava no arquipélago nos finais do século XIX e princípios do século XX. Eugénio Tavares era um poeta autodidata. A sua formação estribou-se, essencialmente, na leitura de autores românticos e clássicos europeus, transladandoos para a realidade cabo-verdiana, salvaguardando as devidas adaptações. A sua obra permite-nos pesquisar, de forma comparada, com o lirismo camoniano, o lirismo trovadoresco e os renascentistas europeus cujas perspectivas se ajustam com os sentimentos do povo das ilhas. A obra deste autor influenciou muito os escritores nativistas na construção da nação cabo-verdiana, na sua cultura e formação literária, procurando, nas produções jornalísticas epistolares, traçar um panorama do contexto arquipelágico entre os séculos XIX e XX, destacando-se o propósito de denunciar as principais questões sociais, económicas e políticas do arquipélago enquanto colónia portuguesa.This work intends to make Eugénio Tavares's mornas known in Cape Verdean literature, comparing them with the classical and romantic poetry of European space, particularly with Portuguese poetry, demonstrating the value of the Creole language in both oral and written texts, through this poet, who came to be nicknamed Camões de Cabo-Verde. In his work, Tavares explores the theme of love in compositions of morna. Therefore, we propose to demonstrate the variation of the writing about love in Cape Verdean Creole and Portuguese poetry, in order to show a different perspective of writing from the archipelago of the late nineteenth and early twentieth centuries. Eugénio Tavares was a self-taught poet. He read mostly romantic and classical European authors, leading him to transform his works, adapting them to the reality of the people of the archipelago. His work allows us to compare him with the lyricism of Camões, troubadour lyricism and European Renaissance that align with the feelings of the inhabitants of the islands. The work of the above-mentioned author has greatly influenced nativist writers in the construction of the Cape Verdean nation, in its cultural and literary formation, seeking in epistolary journalistic productions to draw a panorama of the archipelagic context between the nineteenth and twentieth centuries, highlighting the purpose of denouncing the main social, economic and political issues of the archipelago as a Portuguese colony.Dissertação de Mestrado em Estudos de Língua Portuguesa apresentada à Universidade Aberta: https://repositorioaberto.uab.pt/handle/10400.2/996
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