The Beautiful Hidden Logic of Cities
Posted by Armando Brito Mendes | Filed under mapas SIG's, materiais ensino, materiais para profissionais, visualização
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Padrões identificados em mapas de cidades.
After finishing my map of the most common road suffixes by length, I realized I could also map each individual road, colored by its suffix. This has led to the loveliest maps I’ve made.
Driving around your city, you’re probably somewhat aware of Avenues and Boulevards and Streets and Roads and so on. Here in Portland, at least, I know that Avenues run north-south and Streets run east-west. However, it’s hard to get an overall view of how all these road designations knit together. By coloring them, we can suddenly see a new, stunning view of what we normally take for granted.
Tags: captura de conhecimento, image mining, mapas
Making of the Illustrations of the Natural Orders of Plants
Posted by Armando Brito Mendes | Filed under materiais para profissionais
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If someone told me when I was young that I would spend three months of my time tracing nineteenth century botanical illustrations and enjoy it, I would have scoffed, but that’s what I did to reproduce Elizabeth Twining’s Illustrations of the Natural Orders of Plants and I loved every minute.
After the unexpected successes of my Byrne’s Euclid and Werner’s Nomenclature of Colours projects (for which I’m very grateful) I got the itch to follow them up with another reproduction of an obscure catalog from the 1800s. However, finding interesting obscure catalogs want an easy task when I didn’t know what would pique my interest. Anything was fair game but I had an inkling that something based on the sciences would be most interesting. Scientific catalogs are organized, structured, and data can be extracted from them with some elbow grease.
Tags: belo, captura de conhecimento, data mining, machine learning
50 Great Examples of Data Visualization
Posted by Armando Brito Mendes | Filed under visualização
Bons exemplos de representações gráficas
Wrapping your brain around data online can be challenging, especially when dealing with huge volumes of information.
And trying to find related content can also be difficult, depending on what data you’re looking for.
But data visualizations can make all of that much easier, allowing you to see the concepts that you’re learning about in a more interesting, and often more useful manner.
Below are 50 of the best data visualizations and tools for creating your own visualizations out there, covering everything from Digg activity to network connectivity to what’s currently happening on Twitter.
Tags: belo, captura de conhecimento
ontologies and data models
Posted by Armando Brito Mendes | Filed under materiais para profissionais, SAD - DSS
Já se perguntaram qual a diferença entre ontologias e modelos de dados?
Ontologies versus Data Models
Data models have been with us since Ted Codd described normalization in 1970 and Peter Chen published his paper on entity relationship diagrams in 1976. Ontology as a discipline in philosophy can trace its roots to ancient Greece. As applied to data management, it is much more recent than data modeling and has only appeared in the past few years. But just what is the difference between ontologies and data models? If they are both about data, do they not boil down to the same thing?
Tags: captura de conhecimento, data mining
portal smart datacollective.com
Posted by Armando Brito Mendes | Filed under materiais para profissionais
Um portal de notícias sobre ciencia dos dados, big data, analytics
SmartData Collective, an online community moderated by Social Media Today, provides enterprise leaders access to the latest trends in Business Intelligence and Data Management. Our innovative model serves as a platform for recognized, global experts to share their insights through peer contributions, custom content publishing and alignment with industry leaders. SmartData Collective is a key resource for executives who need to make informed data management decisions.
Tags: análise de dados, big data, bioinformatica, captura de conhecimento, data mining, decisao em grupo
Data Intelligence and Analytics Resources
Posted by Armando Brito Mendes | Filed under materiais para profissionais, software, videos, visualização
Excelentes textos sobre ciencia dos dados e big data
3. Big Data
- Practical illustration of Map-Reduce (Hadoop-style), on real data
- A synthetic variance designed for Hadoop and big data
- Fast Combinatorial Feature Selection with New Definition of Predictive Power
4. Visualization
- Detecting Patterns with the Naked Eye
- 50+ Open Source Tools for Big Data
- 40 maps that explain the world
5. Best and Worst of Data Science
- 175 Analytic and Data Science Web Sites
- 6000 Companies Hiring Data Scientists
- 100 data science, analytics, big data, visualization books
6. New Analytics Start-up Ideas
- Uniquely identify a human being with two questions
- Selling data
- A new type of weapons-grade secure email
- R in your Browser
7. Rants about Healthcare, Education, etc.
- Why statistical community is disconnected from Big Data and how to fix it
- How to eliminate a trillion dollars in healthcare costs
- Job interview question: what is wrong with this picture?
8. Career Stuff, Training, Salary Surveys
- 17 short tutorials all data scientists should read (and practice)
- Why Companies can’t find analytic talent
- Six categories of data scientists …
9. Miscellaneous
- One Page R: A Survival Guide to Data Science with R
- Boosting Algorithms for Better Predictions
- Structuredness coefficient to find patterns and associations
10. DSC Webinar Series – with video access
- Predictive Analytics with Revolution Analytics and Hortonworks, The…
- BI For Big Data
- The Value of a Modern Data Architecture with Apache Hadoop and Tera…
- Accelerating Big Data
Tags: big data, captura de conhecimento, data mining, R-software
17 short tutorials all data scientists should read
Posted by Armando Brito Mendes | Filed under estatística, materiais para profissionais
Excelentes textos fundamentais para cientistas dos dados
Here’s the list:
- Practical illustration of Map-Reduce (Hadoop-style), on real data
- A synthetic variance designed for Hadoop and big data
- Fast Combinatorial Feature Selection with New Definition of Predict…
- A little known component that should be part of most data science a…
- 11 Features any database, SQL or NoSQL, should have
- Clustering idea for very large datasets
- Hidden decision trees revisited
- Correlation and R-Squared for Big Data
- Marrying computer science, statistics and domain expertize
- New pattern to predict stock prices, multiplies return by factor 5
- What Map Reduce can’t do
- Excel for Big Data
- Fast clustering algorithms for massive datasets
- Source code for our Big Data keyword correlation API
- The curse of big data
- How to detect a pattern? Problem and solution
- Interesting Data Science Application: Steganography
Related link: The Data Science Toolkit
Tags: análise de dados, big data, captura de conhecimento, data mining, Excel, R-software
Century of rock history
Posted by Armando Brito Mendes | Filed under visualização
Para quem gosta de música esta visualização é extraordinária
Jessica Edmondson visualized the history of rock music, from foundations in the pre-1900s to a boom in the 1960s and finally to what we have now. Nodes represent music styles, and edges represent musical connections. There are a lot of them and as a whole it’s a screen of spaghetti, but it’s animated, which is key. It starts at the beginning and develops over time, so you know where to go and what to look at. Music samples for each genre is also a nice touch. [Thanks, Jessica]
Tags: ARS\SNA applicações, ARS\SNA intro, belo, captura de conhecimento, grafos
Brainstorm
Posted by Armando Brito Mendes | Filed under materiais para profissionais, planeamento
Bom texto sobre uma técnica de captura de conhecimento tácito
Brainstorm, ou ainda Brainstorming, significa literalmente “tempestade de ideias”. No Brasil, por vezes é jocosamente denominado “toró de parpites”. É uma técnica criativa para obter ideias e soluções. De tão simples que é, muitas vezes é aplicada de forma inadequada, simplesmente como se fosse um bate-papo. Iremos ver aqui no Blogtek algumas técnicas para a busca de soluções de problemas.
Brainstorm – definição e aplicações
Brainstorm – princípios
Brainstorm – regras
Brainstorm – etapas
Tags: captura de conhecimento, decisao em grupo, gestão de projetos
The Field Guide to Data Science
Posted by Armando Brito Mendes | Filed under materiais para profissionais
Bom e-book sobre data science
Data Science is the competitive advantage of the future for organizations interested in turning their data into a product through analytics. Industries from health, to national security, to finance, to energy can be improved by creating better data analytics through Data Science. The winners and the losers in the emerging data economy are going to be determined by their Data Science teams.
Booz Allen Hamilton created The Field Guide to Data Science to help organizations of all types and missions understand how to make use of data as a resource. The text spells out what Data Science is and why it matters to organizations as well as how to create Data Science teams. Along the way, our team of experts provides field-tested approaches, personal tips and tricks, and real-life case studies. Senior leaders will walk away with a deeper understanding of the concepts at the heart of Data Science. Practitioners will add to their toolboxes.
Tags: big data, captura de conhecimento, data mining, DW \ BI
