Data Science & Data Mining & Big Data
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84 upcoming August – February Meetings in Analytics, Big Data, Data Mining, Data Science

84 upcoming August – February Meetings in Analytics, Big Data, Data Mining, Data Science | Data Science & Data Mining & Big Data | Scoop.it
84 upcoming Meetings in Analytics, Big Data, Data Mining, Data Science http://t.co/TYnquRVCj0 via @flipboard
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The Dev Technology Landscape

The Dev Technology Landscape | Data Science & Data Mining & Big Data | Scoop.it
As developers are empowered to make more influential decisions about the strategy of their company, the tools available to them are becoming equally as powerful and diverse.
Via Stefano Principato
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Five Steps To Master Big Data and Predictive Analytics in 2014

Five Steps To Master Big Data and Predictive Analytics in 2014 | Data Science & Data Mining & Big Data | Scoop.it

As recently as the past two years, one of the seminal issues regarding Big Data was storage, especially with respect to the exponential growth and size of unstructured data that did not fit into databases (e.g., video feeds, PowerPoint...


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The Global Market for Predictive and Prescriptive Analytics is projected to show promising growth in newer avenues in the next five years. | AB Newswire

The Global Market for Predictive and Prescriptive Analytics is projected to show promising growth in newer avenues in the next five years. | AB Newswire | Data Science & Data Mining & Big Data | Scoop.it
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How Information Flows During Emergencies | MIT Technology Review

How Information Flows During Emergencies | MIT Technology Review | Data Science & Data Mining & Big Data | Scoop.it

Mining the mobile phone data from 10 million people over 4 years reveals the subtle changes that occur in the flow of information when disaster strikes, say network scientistsscientists.

 

...More interesting, however, is what happens next. It’s easy to imagine that the first thing the group of friends and relatives do next is contact other people to spread the news that a disaster has struck.

 

But instead, the next call they make tends to be straight back to the person involved in the emergency situation. This is completely different to the normal behaviour where the likelihood of returning a call is significantly lower. Indeed, a call made during a concert is less likely than usual to get a call back.

 

Liang and co conclude that the need for correspondence with eyewitnesses is more critical than the dissemination of situational awareness during emergencies.” In other words, the desire to want to find out more trumps the need to pass on what they already know. At least in emergency situations....


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Jeff Domansky's curator insight, January 19, 2014 11:10 AM

Fascinating research worth studying by crisis managers.

Luis V. Morales-Escobar's curator insight, January 19, 2014 1:54 PM

Este es buenejemplo de analisis de puntos criticos

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10 actual uses of big data

10 actual uses of big data | Data Science & Data Mining & Big Data | Scoop.it

First off, what is it?... Datasets are multiplying as we measure lots more than we used to. This means our thinking has to broaden – no longer is ‘what can we do with our database of email addresses?’ the question, rather ‘what data can we look at to give us the best idea possible of a customer’s stage in the buying cycle and what they’ll be receptive to next?’The definition of big data isn’t really important and one can get hung up on it. Much better to look at ‘new’ uses of data.So, here’s some examples of new and possibly ‘big’ data use both online and off....


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Jeff Domansky's curator insight, January 18, 2014 11:10 AM

Great case studies and essential reading for marketing and PR people. 9/10

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5 Tools Everyone In Social Media Should Be Using | Social Media Today

5 Tools Everyone In Social Media Should Be Using | Social Media Today | Data Science & Data Mining & Big Data | Scoop.it

There are literally thousands of social media tools that are worth investigating these days; however, these five are all essentials that you must have in your locker ready to use when you need them.

 

Social media is becoming more and more of a data game in 2014.  Those in the know can optimize and dominate those who aren't running their campaigns in a data-led way.  Combine this with the ever increasing usage of social, the fragmentation of audience by platform, and the trend towards paid reach on some platforms and many social media managers will be at a loss as to how to manage their social presence in a sensible way.  Fear not though, we've put together a handy guide on 5 of the tools that everyone in social media should be using to help you survive and thrive in an ever-expanding marketplace!...


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Jeff Domansky's curator insight, January 18, 2014 1:42 AM

5 great additions to your social media toolbox.

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Sensible Social Media Checklist for Business v.2.0 [INFOGRAPHIC] | #TheMarketingTechAlert

Sensible Social Media Checklist for Business v.2.0 [INFOGRAPHIC] | #TheMarketingTechAlert | Data Science & Data Mining & Big Data | Scoop.it
Social Media Internet Marketing Checklist infographic to help your business create an online presence on Facebook, Twitter, Pinterest and more.

 

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► Receive a FREE daily summary of The Marketing Technology Alert directly to your inbox. To subscribe, please go to http://ineomarketing.com/About_The_MAR_Sub.html ; (your privacy is protected).


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marketingIO's curator insight, January 15, 2014 5:50 PM

A daily checklist? I think so.

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Data Mining, Analytics, Big Data, and Data Science Discovering ...

Data Mining, Analytics, Big Data, and Data Science Discovering ... | Data Science & Data Mining & Big Data | Scoop.it
This Data Science in Python tutorial covers importing data, scikit-learn basics, aggregation and grouping, feature engineering, model evaluation, and deployment. Here is are free tutorial notes by Greg Lamp, co-founder of Yhat, @YhatHQ on.
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MongoDB Time Series: Introducing the Aggregation Framework

MongoDB Time Series: Introducing the Aggregation Framework | Data Science & Data Mining & Big Data | Scoop.it
In my previous posts, I talked about batch importing and the out-of-the-box MongoDB performance.

Via Tony Shan, Simon Hunanyan
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Simon Hunanyan's curator insight, January 15, 2014 9:41 PM

Just practical introduction to the MongoDB Aggregation with lot of codes...

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Is This The Year Of Big Data For Marketing? | B2B Marketing Insider

Is This The Year Of Big Data For Marketing? | B2B Marketing Insider | Data Science & Data Mining & Big Data | Scoop.it
A recent prediction for marketing in 2014 comes from Rebecca Borison, assistant editor with Mobile Marketer. She covers Forrester's latest marketing report (Is This The Year Of Big Data For Marketing?
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R-bloggers

R-bloggers | Data Science & Data Mining & Big Data | Scoop.it
“ Together with Revolution Analytics, I will be offering two more one-day classes on the Rcpp package for seamless integration of R and C++.”
Via Harsh
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Can MapReduce solve planning problems?

Can MapReduce solve planning problems? | Data Science & Data Mining & Big Data | Scoop.it

To solve a planning or optimization problem, some solvers tend to scale out poorly: As the problem has more variables and more constraints, they use a lot more RAM memory and CPU power. They can hit hardware memory limits at a few thousand variables and few million constraint matches. One way their users typically work around such hardware limits, is to use MapReduce. 


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Machine Learning with Apache Mahout

Machine Learning with Apache Mahout...

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Data Forecast: What's next in Data Science

General Electric Data Forecast: What's next in Data Science

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Carla Gentry CSPO's curator insight, May 30, 2013 9:29 AM
Data Forecast: What's next in Data Science
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Big Data Humor: Paranormal Distribution

Big Data Humor: Paranormal Distribution | Data Science & Data Mining & Big Data | Scoop.it
Data distributions are an important aspect of statistics and machine learning, and now we have the “paranormal” distribution — but no idea why the graphical artifact is occurring. Spooky!
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How to Curate Your Facebook News Feed

How to Curate Your Facebook News Feed | Data Science & Data Mining & Big Data | Scoop.it

Excerpt from article by Mashable:
"Baby photos. News articles. Selfies. Advertisements. Job announcements.
It's likely your Facebook News Feed contains some combination of these, if not all of them (and likely other categories, too). That's both the beauty and the curse of News Feed: It provides updates from all aspects of your life in one place, including those you may not care to see.

Mashable sat down with Greg Marra, Facebook's product manager for News Feed, to discuss how users can best curate the content that they see in News Feed. The easiest way to change what you see? Engage with content, says Marra.

"The basic interactions of News Feed are some of the most important signals that we get," he explains. "Unfortunately, those interactions aren't able to capture everything that we want to know, so we also give people additional controls to tell us things we can't figure out just from normal usage of News Feed."

Here's what we learned.
- If You Want to Stop Seeing Posts From a Facebook Friend...
- If You Want to See More Posts From a Facebook Friend...
- Create Additional, Personalized News Feed Lists
- You Can't Eliminate Ads, But You Can Give Feedback
- Take Facebook's Survey

The moral of the story: With the exception of Facebook ads, you should be able to eliminate anything (or anyone) you don't like from your Facebook News Feed. It requires you to put in a little effort, but hey, these digital newspapers aren't going to write themselves..."

Each point is analyzed with detailed information. Read full article here:
http://mashable.com/2014/01/19/facebook-news-feed-curation/

 


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Joseph Ruiz's curator insight, January 20, 2014 8:02 AM

Great tips for more seeing more relevant Facebook content

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Why You Should Use 'Actiontags' in Your Social Media Marketing -Profs | #TheMarketingTechAlert

Why You Should Use 'Actiontags' in Your Social Media Marketing -Profs | #TheMarketingTechAlert | Data Science & Data Mining & Big Data | Scoop.it

Intermediate/ Excerpt...

 

An actiontag is a hashtag that triggers a response. For example, rather than just posting "We have a #NewProduct!" a brand can post "We have a #NewProduct! RT if you #want more information about it."

Here are three of the benefits of using actiontags in your social marketing campaigns:

  -- >  Participation via actiontags. When consumers express their interest in or support for something using actiontags like #want, #buy or #enter, they are explicitly—and publicly—raising their hand. That kind of social opt-in gives the brand an opportunity to respond directly and capitalize on that intent.

  -- >  Automated brand messaging. With automated messaging, a big brand now has the ability to reach out to each and every person who has raised their hand to be apart of a campaign that they have created. That allows brands to cost-effectively engage consumers one on one, opening up new marketing and conversion opportunities.

  -- >  Built-in amplification. Most social posts and messages are buried among thousands of others and have a difficult time elevating above the noise without a significant paid budget behind them. However, using an actiontag in your post creates built-in amplification—since the message spreads organically every time a consumer takes action on it.

 

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► Receive a FREE daily summary of The Marketing Technology Alert directly to your inbox. To subscribe, please go to http://ineomarketing.com/About_The_MAR_Sub.html ; (your privacy is protected).

 


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marketingIO's curator insight, January 16, 2014 7:45 PM

Damn, this makes all the sense in the world! Start doing this today!!!!

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2014: The Year Big Data Adoption Goes Mainstream In The Enterprise

2014: The Year Big Data Adoption Goes Mainstream In The Enterprise | Data Science & Data Mining & Big Data | Scoop.it
Last week IDG published their latest big data enterprise survey and predictions for 2014 finding that on average, enterprises will spend $8M on big data –related initiatives in 2014.

The study also found that 70% of enterprise organizations have either deployed or are planning to deploy big data-related projects and programs.  The study 2014 IDG Enterprise Big Data Research is summarized here.  The goal of the study includes gaining a better understanding of organizations’ big data initiatives, investments and strategies.


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Combining java and Node.js through redis pub/sub and a json remote interface « Gridshore

Combining java and Node.js through redis pub/sub and a json remote interface « Gridshore | Data Science & Data Mining & Big Data | Scoop.it

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Book Review: 'Data Science for Business' by Foster Provost and Tom Fawcett

Book Review: 'Data Science for Business' by Foster Provost and Tom Fawcett | Data Science & Data Mining & Big Data | Scoop.it
Highly recommended for students through to advanced practitioners. (Book Review: ‘Data Science for Business’ by Foster Provost and Tom Fawcett: Data Science for Business is direc...
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21 NoSQL Innovators To Look For In 2020 - Wikibon

21 NoSQL Innovators To Look For In 2020 - Wikibon | Data Science & Data Mining & Big Data | Scoop.it

In the ever-evolving world of enterprise IT, choice is generally considered a good thing – albeit having too many choices can create confusion and uncertainty. For those application owners, database administrators and IT directors who pine for the good old days when one could count the number of enterprise-class databases (DBs) on one or two hands, the relational-database-solves-all-our-data-management-requirements days are long gone.


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How Big Data Analytics on Twitter Can Help Predict Disease Spread [VIDEO] - Smart Data Collective

How Big Data Analytics on Twitter Can Help Predict Disease Spread [VIDEO] - Smart Data Collective | Data Science & Data Mining & Big Data | Scoop.it

Social networks have become so common in our lives that we post everything on Facebook, Google+ or Twitter. As such we also post how we feel and if we feel sick. Researchers at the University of Rochester  have now been able to use Twitter to predict how likely it is for a Twitter user to become sick. In the following video they show how they use Twitter to model how other factors — social status, exposure to pollution, interpersonal interaction and others — influence our health. The looked in total at 70 different factors and whether they had a positive, negative or neutral impact on the users’ health. They make predictions up to 8 days in advance what your health is going to be. With a 90% accuracy they are now able to predict if a Twitter user is going to be ill the next day and this information can help that user make decisions in their lives.

 


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High Scalability - High Scalability - How HipChat Stores and Indexes Billions of Messages Using ElasticSearch and Redis

High Scalability - High Scalability - How HipChat Stores and Indexes Billions of Messages Using ElasticSearch and Redis | Data Science & Data Mining & Big Data | Scoop.it
This article is from an interview with Zuhaib Siddique , a production engineer at HipChat , mak...
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