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Hands-on short-course on Data Analysis

Goal:

The Data Analysis workshop encompasses a set of data mining techniques aimed at extracting knowledge from data. The process of knowledge extraction includes exploratory data analysis, preprocessing and prediction. This short course is contextualized using the R language.

Proposal:

  1. Introduction
  2. Basics of R
  3. Exploratory data analysis
  4. Data Preprocessing
  5. Regression

Slides

Code examples:

Short course on Data Analysis

Study of data mining techniques, i.e., extraction of knowledge from large volumes of data. The knowledge extraction process includes exploratory analysis, data preprocessing, clustering, and prediction. This short-course is regularly offered once a year at LNCC under the collaboration between CEFET/RJ and LNCC. Fill this form to request access to the course. Slides and schedule available […]
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Spatial-Time Motifs Discovery

Authors: Heraldo Borges, Murillo Dutra,  Rafaelli~Coutinho, Fábio Perosi, Amin Bazaz,  Florent~Masseglia, Esther Pacitti, Fábio Porto, Eduardo Ogasawara Abstract: Discovering motifs in time series data has been widely explored. Various techniques have been developed to tackle this problem. However, when it comes to spatial-time series, a clear gap can be observed according to the literature review. […]
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Oportunidades na Ciência da Computação: Uma visão na perspectiva de Ciência de Dados

Título: Oportunidades na Ciência da Computação: Uma visão naperspectiva de Ciência de Dados Fórum: Escola Municipal Victor Hugo Data: December / 2018 Local: Rio de Janeiro, RJ Resumo: O Brasil atualmente ocupa o sexto maior mercado mundial de tecnologia da informação e comunicação (TIC) (ABES 2016). Estima-se que o setor de TIC tenha movimentado US$ 152 […]
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Comparing Motif Discovery Techniques with Sequence Mining in the Context of Space-Time Series

Title: Comparing Motif Discovery Techniques with Sequence Mining in the Context of Space-Time Series Venue: INRIA / LIRMM / University of Montpellier Date: November / 2018 Location: Montpellier, France Abstract: A relevant area that is being explored in time series analysis community is finding patterns. Patterns are sub-sequences of time series that are related to some special […]
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Spatial-Time Motifs Discovery

Student: Heraldo Pimenta Borges Filho (heraldoborges@gmail.com) Advisor: Eduardo Ogasawara (eogasawara@ieee.org) Description: The package STMotif allows performing research of motif in spatial-time series. A motif is a previously unknown subsequence of a (spatial) time series with a relevant number of occurrences. The main purpose is to find a way to handle the issue of large amounts […]
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LADaS 2018 Workshop

The LADaS 2018 Workshop (Latin America Data Science Workshop) was organized in conjunction with the VLDB 2018 (Very Large Data Bases) at Rio de Janeiro on August 27th. Scope: Dealing with the data deluge produced nowadays in different areas, ranging from basic sciences to billions of users of Global Internet services, emerges as one of […]
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Evaluating Data Preprocessing Methods for Machine Learning Models for Flight Delays

Title: Evaluating Data Preprocessing Methods for Machine Learning Models for Flight Delays Venue: IJCNN 2018 Date: July / 2018 Location: Rio de Janeiro, RJ – Brasil Abstract: Flight delays cause various inconveniences for airlines, airports, and passengers. According to data provided by the Brazilian National Civil Aviation Agency (ANAC), between 2009 and 2015, about 22% of domestic […]
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Data Mining Course – 2018 – T2

Study of data mining techniques, i.e., knowledge discovery from data (KDD). The KDD process includes the exploratory data analysis, preprocessing, identification of outliers, clustering, prediction, frequent patterns, and data warehouses G. James, D. Witten, T. Hastie, and R. Tibshirani, 2013, An Introduction to Statistical Learning: with Applications in R. 1 ed. Springer.   J. Han, […]
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