Development of a Dashboard for Sentiment Analysis of Football in Twitter based on Web Components and D3.js

This thesis is the result of a project whose objective has been to develop and deploy a dashboard for sentiment analysis of football in Twitter based on web components and D3.js. To do so, a visualisation server has been developed in order to present the data obtained from Twitter and analysed with Senpy. This visualisation server has been developed with Polymer web components and D3.js. Data mining has been done with a pipeline between Twitter, Senpy and ElasticSearch. Luigi have been used in this process because helps building complex pipelines of batch jobs, so it has analysed all tweets and stored them in ElasticSearch. To continue, D3.js has been used to create interactive widgets that make data easily accessible, this widgets will allow the user to interact with them and �filter the most interesting data for him. Polymer web components have been used to make this dashboard according to Google's material design and be able to show dynamic data in widgets. As a result, this project will allow an extensive analysis of the social network, pointing out the influence of players and teams and the emotions and sentiments that emerge in a lapse of time.

Changes in global gene expression patterns during development and maturation of the rat kidney

We set out to define patterns of gene expression during kidney organogenesis by using high-density DNA array technology. Expression analysis of 8,740 rat genes revealed five discrete patterns or groups of gene expression during nephrogenesis. Group 1 consisted of genes with very high expression in the early embryonic kidney, many with roles in protein translation and DNA replication. Group 2 consisted of genes that peaked in midembryogenesis and contained many transcripts specifying proteins of the extracellular matrix. Many additional transcripts allied with groups 1 and 2 had known or proposed roles in kidney development and included LIM1, POD1, GFRA1, WT1, BCL2, Homeobox protein A11, timeless, pleiotrophin, HGF, HNF3, BMP4, TGF-α, TGF-β2, IGF-II, met, FGF7, BMP4, and ganglioside-GD3. Group 3 consisted of transcripts that peaked in the neonatal period and contained a number of retrotransposon RNAs. Group 4 contained genes that steadily increased in relative expression levels throughout development, including many genes involved in energy metabolism and transport. Group 5 consisted of genes with relatively low levels of expression throughout embryogenesis but with markedly higher levels in the adult kidney; this group included a heterogeneous mix of transporters, detoxification enzymes, and oxidative stress genes. The data suggest that the embryonic kidney is committed to cellular proliferation and morphogenesis early on, followed sequentially by extracellular matrix deposition and acquisition of markers of terminal differentiation. The neonatal burst of retrotransposon mRNA was unexpected and may play a role in a stress response associated with birth. Custom analytical tools were developed including “The Equalizer” and “eBlot,” which contain improved methods for data normalization, significance testing, and data mining.

Uso de Data Mining e do ECR para incremento da competitividade de pequenas e médias empresas: um estudo multicaso sobre varejo e indústria alimentícia

O setor supermercadista sofreu grandes alterações nos últimos anos, principalmente com o avanço das tecnologias, a competição, a concentração e algumas insuficiências em seus processos. Estes e outros fatores favoreceram ao surgimento do movimento de ECR (Resposta de Consumidor Eficiente) que procura criar um relacionamento mais forte entre indústria e varejo através de novas visões para suas estratégias operacionais. A evolução das tecnologias de informação permitiram ao setor varejista gerar uma maior volume de dados a partir, principalmente, de seus check-outs. Entretanto, estes dados nem sempre são armazenados de forma correta ou utilizados de forma a se aproveitar a plenitude das informações neles contidas. O processo de transformar os dados em informação e conhecimento vem evoluindo constantemente. Uma das atuais metodologias de trabalhar dados é o Data Mining ou Mineração de Dados, que pode ser descrito como sendo uma variedade de ferramentas e estratégias que processam dados aumentando a utilidade destes em bancos de dados. Este trabalho analisa através de um estudo multicaso exploratório na região de Ribeirão Preto, no interior de São Paulo, a avaliação da capacidade do uso da tecnologia Data Mining para o fortalecimento do movimento ECR, principalmente em pequenos e médios varejistas e indústrias alimentícias, no sentido de oferecer a estes um diferencial de negociação para formação de alianças estratégias.

Towards a model-driven engineering approach of data mining

Nowadays, data mining is based on low-level specications of the employed techniques typically bounded to a specic analysis platform. Therefore, data mining lacks a modelling architecture that allows analysts to consider it as a truly software-engineering process. Here, we propose a model-driven approach based on (i) a conceptual modelling framework for data mining, and (ii) a set of model transformations to automatically generate both the data under analysis (via data-warehousing technology) and the analysis models for data mining (tailored to a specic platform). Thus, analysts can concentrate on the analysis problem via conceptual data-mining models instead of low-level programming tasks related to the underlying-platform technical details. These tasks are now entrusted to the model-transformations scaffolding.

Mining waste management.

Mode of access: Internet.

Assessment of environmental impact of the mineral mining industry /

Mode of access: Internet.

Development of a process for producing an ashless, low-sulfur fuel from coal.

Prepared for the Office of Coal Research, Dept. of the Interior...by the Pittsburg & Midway Coal Mining Co., Kansas City, Mo.

Development of a modified char adsorbent for the recovery of uranium from ore slurries : summary report /

"Western Laboratories ; Arthur D. Little, Inc ; San Francisco, Calif."

Uranium development in the San Juan basin region : a report on environmental issues /

Working papers issued separately.

Ground-water hydrology before, during, and after coal strip mining of a small watershed in Coshocton County, Ohio /

"U.S. Bureau of Mines contracts J0166054 and J0166055."

Transactions of the American Institute of Mining and Metallurgical Engineers.

Consists of transactions of various Branches and Divisions of the Institute.

The Kent coalfield; its evolution and development,

Mode of access: Internet.

Office of Coal Development fiscal year ... annual report 2002-

DCEO's Office of Coal Development OCD provides technical and financial support to the Illinois coal industry. OCD awards funding for basic research and development on coal and its utilization, as well as commercial-scale demonstration of promising coal utilization technologies. Investment within the Illinois energy sector is stimulated through financial incentives provided by some OCD programs. Education and marketing programs are conducted to develop and convey appropriate messages about the importance of Illinois coal in the state's job development efforts and in meeting domestic and international energy needs.

Outlook for the Illinois coal industry : report of the Illinois Coal Development Board.

"March 1992."

Report of the Office of Coal Development and Marketing.

Vols. for <1987-1988,1990 include report of Illinois Coal Development Board.