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Caveat Data Scientist: Public Trust Low for Science

A new paper entitled "Gaining Trust as well as Respect in Communicating Science Topicspublished in the Proceedings of the…

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Added by Michael Walker on September 24, 2014 at 5:07pm — No Comments

SKOS as a Key Element in Enterprise Linked Data Strategies

The challenges in implementing linked data technologies in enterprises are not limited to technical issues only. Projects like these deal also with organisational hurdles to be crossed, for instance the development of employee skills in the area of knowledge modelling and the implementation of a linked data strategy which foresees a cost-effective and sustainable infrastructure of high-quality and linked knowledge graphs. SKOS is able to play a key role in enterprise linked data strategies…

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Added by Andreas Blumauer on September 21, 2014 at 10:22pm — No Comments

Top 2,500 Websites - not containing seed keywords

For explanations about the methodology, including source code and possible improvements, read our main article on this subject. It also provides links to our other three listings.

The field between parentheses represents the year when the website in question was first mentioned - it does not represent when the website was created, thought it's a…

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Added by Vincent Granville on September 20, 2014 at 12:50pm — No Comments

Top 2,500 Websites - not crawlable

For explanations about the methodology, including source code and possible improvements, read our main article on this subject. It also provides links to our other three listings.

The field between parentheses represents the year when the website in question was first mentioned - it does not represent when the website was created, thought it's a…

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Added by Vincent Granville on September 20, 2014 at 12:42pm — No Comments

Top 2,500 Websites - mentioned a few times (Page 2)

Click here for explanations.

  • macrorisk.com (2012) - analytics 
  • datamining.togaware.com (2012) - statistics, machine learning, analytics, data mining, database 
  • kavaii.com (2013) - statistics, big data, analytics 
  • data-mining-blog.com (2012) - text mining, analytics, data mining, business…
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Added by Vincent Granville on September 20, 2014 at 12:35pm — No Comments

Top 2,500 Websites - mentioned a few times (Page 1)

Click here for explanations.

  • indiana.edu (2012) - analytics 
  • businessintelligence.ittoolbox.com (2011) - text mining, analytics, data mining, database, business intelligence 
  • plot.ly (2014) - analytics 
  • dssresources.com (2012) - business intelligence 
  • powerbi.com (2014) - analytics, business…
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Added by Vincent Granville on September 20, 2014 at 12:32pm — 1 Comment

Top 2,500 Websites - mentioned a few times

For explanations about the methodology, including source code and possible improvements, read our main article on this subject. It also provides links to our other three listings.

The field between parentheses represents the year when the website in question was first mentioned - it does not represent when the website was created, thought it's a…

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Added by Vincent Granville on September 20, 2014 at 12:00pm — No Comments

Top 2,500 Websites - top of the top

For explanations about the methodology, including source code and possible improvements, read our main article on this subject. It also provides links to our other three listings.

The field between parentheses represents the year when the website in question was first mentioned - it does not represent when the website was created,…

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Added by Vincent Granville on September 20, 2014 at 12:00pm — 2 Comments

Top 2,500 Data Science, Big Data and Analytics Websites

The following comprehensive listings were produced by analyzing our large member database, extracting websites that our members mentioned or liked, and for each web site, identifying

  • When it is first mentioned by one of our members
  • The number of times it was mentioned
  • Keywords found when visiting the front page with a web crawler, using a pre-selected list of seed keywords

The design of the member database (non-mandatory sign-up questions and…

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Added by Vincent Granville on September 20, 2014 at 10:00am — No Comments

Embrace Relationships with Neo4J, R & Java

Graphs are everywhere, used by everyone, for everything. Neo4j is one of the most popular graph database that can be used to make recommendations, get social, find paths, uncover fraud, manage networks, and so on. A graph database can store any kind of data using a Nodes (graph data records), Relationships (connect nodes), and Properties (named data values).

A graph database can be used for connected data which is otherwise not possible with either relational or other NOSQL databases…

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Added by Raghavan Madabusi on September 19, 2014 at 6:31pm — No Comments

Preliminary findings about Zipf's Law (the thick tail distribution)

In this blog post I summarize my current findings in the Zipf's law clustering process.

I have done some extensive simulations on clustering of entities, which should lead to Zipf's law..

To summarize the simulated clustering process (which complies to the guidelines dr. Granville provided in his post):…

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Added by Tom De Smedt on September 19, 2014 at 5:00pm — No Comments

Big Data is Stupid Data

The "Big Data" marketing hype obscures the fact that more actionable, valuable insights are likely to be found in the right smaller "Smart Data" sets in contrast to large data sets.



While the term "Big Data" is properly defined as data sets whose size is beyond the ability of commonly used software tools to capture, manage, and process the data within a tolerable elapsed time - the…

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Added by Michael Walker on September 19, 2014 at 11:10am — 2 Comments

Is BYOD Momentum Fading?

Not long ago, bring your own device (BYOD) was the trend to watch among enterprises. Companies of all shapes and sizes looked at BYOD as the next big thing in business, a way to make…

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Added by Rick Delgado on September 18, 2014 at 10:00am — No Comments

Weekly Digest - September 22

The full version is always published Monday. Starred articles or sections are new additions or updated content, posted between Thursday and Sunday. 

Sponsored Announcement…

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Added by Vincent Granville on September 17, 2014 at 5:30pm — 1 Comment

What Are Analytic Marketplaces?

The Naked analyst Episode 9 looks at the best places for analytic competitions.

Here are my top 4 sites. They range from the the well known to some more specialist sites. There are 3 marketplaces I know of, and a 'world championship' currently running.

Kaggle

Kaggle is the world's largest community of data scientists. They compete with…

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Added by Steve Bennett on September 16, 2014 at 7:17pm — No Comments

Defining Big Data

Defining big data is now a hot topic. Berkeley University posted 40 very short definitions by thought leaders (including me). Here our goal is to offer a very detailed, comprehensive definition that (hopefully) suits everyone.

First, there are three…

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Added by Vincent Granville on September 16, 2014 at 6:00pm — 2 Comments

Top Cities and Other Demographics for Data Scientists

This analysis shows the distribution of data scientists per country, city, gender and company. It is based on Data Science Central (DSC) member database, only including members who provided information regarding these fields, on sign-up. Not all members provide information about their location, company or gender. A small majority does, and these members tend to be over-represented in US. Differences with our…

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Added by Vincent Granville on September 16, 2014 at 11:00am — No Comments

How Big Data is Revolutionizing Real Estate

The real estate industry has long operated according to its own traditions, but the availability of huge volumes of data is revolutionizing the way the industry works.…

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Added by Rick Delgado on September 16, 2014 at 5:30am — No Comments

Lesson 9: Making Your Selection - Final Considerations

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Added by William Vorhies on September 15, 2014 at 8:46am — No Comments

Too much talk in Analytics & too little action!

Is analytics yet another fad? Is there much more talk about it than real solid action. It does seem so when you look around you as a consumer.

Marketers still don’t care, as much, about being relevant to you. You get that umpteenth credit card solicitation from the bank which has already sold you a card. And nothing about a physical Retailer shopping experience makes it personal for you!

And yet your online…

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Added by Ajay Kelkar on September 14, 2014 at 9:00pm — 1 Comment

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