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Processos de KDD em dados Não Relacionais: O caso da ferramenta MineraMongo
(2017-07-11)
The process of Knowledge Discovery in Databases, or KDD for short, have been intensively used in tasks focused on searching useful information based on data. The reason is that such data is generated in significant volume, ...
Copula-based Analysis Of Rhythm
(Amer Inst PhysicsMelville, 2016)
Feature Selection with Hybrid Bio-inspired Approach for Classifying Multi-idiom Social Media Sentiment Analysis
(Scitepress, 2022-01-01)
Social media sentiment analysis consists on extracting information from users' comments. It can assist the decision-making process of companies, aid public health and security and even identify intentions and opinions about ...
Analysis of mechanical behavior in bending of polymer composites using the finite elements method
(2009-12-01)
The use of composite materials has increased in the recent decades, mainly in the aeronautics and automotives industries. In the present study is elaborated a computational simulation program of the bending test using the ...
Gps-Inspired Method For Rodent Tracking Using Arduino-Based Open Field And Fft Analysis
(2014)
Due to the fact that video-based tracking methods for laboratory rats are expensive and time consuming,
a novel approach of the time dependent position was developed. In this work we show a new kind of cage
for performing ...
ClusMAM: fast and effective unsupervised clustering of large complex datasets using metric access methods
(Association for Computing Machinery - ACMUniversity of PisaScuola Superiore Sant’AnnaPisa, 2016-04)
An efficient and effective clustering process is a core task of data mining analysis, and has become more important in the nowadays scenario of big data, where scalability is an issue. In this paper we present the ClusMAM ...
Control of thermal damage in grinding by digital signal processing of raw acoustic emission
(2002-12-01)
Grinding process is usually the last finishing process of a precision component in the manufacturing industries. This process is utilized for manufacturing parts of different materials, so it demands results such as low ...
Simulation and analysis applied on virtualization to build Hadoop clusters
(Ieee, 2015-01-01)
The data growth enhances the need of a method and paradigms responsible to deal with high scalability, reliability and fault tolerance in large amounts of data. Big Data is a framework capable of dealing with this need. ...
Information Visualization to support decision making in the context of distance learning: A study with VLE TelEduc
(2012-12-01)
Digital data sets constitute rich sources of information, which can be extracted and evaluated applying computational tools, for example, those ones for Information Visualization. Web-based applications, such as social ...
Particle Competition and Cooperation in Networks for Semi-Supervised Learning with Concept Drift
(IEEE, 2012-01-01)
Concept drift is a problem of increasing importance in machine learning and data mining. Data sets under analysis are no longer only static databases, but also data streams in which concepts and data distributions may not ...