PINA: NARRATIVAS SEM FIM

PINA v2.0: mining interactome modules

The Protein Interaction Network Analysis (PINA) platform is a comprehensive web resource, which includes a database of unified protein-protein interaction data integrated from six manually curated public databases, and a set of built-in tools for network construction, filtering, analysis and visualization. The second version of PINA enhances its utility for studies of protein interactions at a ...

Minimização do Impacto do Problema de Desvio de Conceito por Meio de Acoplamento em Ambiente de Aprendizado Sem Fim

Machine Learning (ML) is a research subarea of Artificial Intelligence that aims to develop computer programs that can evolve with new experiences. Among the many ML goals, the endless learning, i.e., methods that would enable computer systems to autonomously improve their own performance, based on previously learnt information, is of particular interest in the research described in this paper....

Rough Cut: Phenomenological Reflections on Pina Bausch’s Choreography

This essay interprets the work of the German choreographer Pina Bausch with the help of phenomenological examinations by Maurice Merleau-Ponty, Emmanuel Levinas, and Martin Heidegger. Pina Bausch’s choreography not only shares basic themes like the everyday, the body, and moods with phenomenology, but they also yield similar results in overcoming traditional dualist frameworks. Rather than bein...

The UK FIM+FAM: development and evaluation

Surprising Results of Trie-based FIM Algorithms

Trie is a popular data structure in frequent itemset mining (FIM) algorithms. It is memory-efficient, and allows fast construction and information retrieval. Many trie-related techniques can be applied in FIM algorithms to improve efficiency. In this paper we propose new techniques for fast management, but more importantly we scrutinize the well-known ones especially those which can be employed...