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Featured Blog Posts – October 2013 Archive (36)

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Added by Vincent Granville on October 31, 2013 at 9:30am — No Comments

Critical Data and the Organizational Construct

The term "critical thinking" is often found in job postings.  Some would argue that this essentially means, "Thinking outside the box."  Karl Marx, who asserted that labourers represent a class of people, has been described as a critical thinker.  Regardless of how a person feels about Marx, it goes without saying that the phenomena of social classes is well-established.  Politicians for instance fight for the support of the "middle class."  How precisely does such an observation by this…

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Added by Don Philip Faithful on October 30, 2013 at 4:25pm — No Comments

Why the Business Gets Frustrated with IT: the Data Warehouse

Defining the Problem

I propose that business frustration with IT is generally not a communication problem.



I often see managers frustrated with IT, but seldom is the cause a breakdown of communications - as we like to tell ourselves. Good managers always demand clear concise communications. When pressed, IT people, as well as other departmental folks, are able to deliver this easily enough.

The chief…
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Added by Mitchell A. Sanders on October 29, 2013 at 1:30pm — No Comments

Sensors Here, There and Everywhere

Smart organizations are using the power of data science and data produced by embedded sensors and machine devices…

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Added by Michael Walker on October 29, 2013 at 11:30am — 3 Comments

Big Data and Education Data Mining

Big Data is big in nature, however Education data is not that big yet compared to Big Data. Quantitative analysis, Audio-Video recorded data of Education related research and general research work conducted by the academic institutions is steadily increasing. The data change is started within our education system as our students are taking exams, courses, conducting their research using computerized means. This means that the searching behaviors of students or whoever associated with…

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Added by Atif Farid Mohammad on October 27, 2013 at 7:39pm — No Comments

Search for Embodiment in Data Mining

Above - During a Session at the Archives of Ontario in 2011

In this blog post, I describe my early experiences leading me to conclude, data as we know it tends to be "disembodied" - that is to say, often lacking any kind of connection to different types of bodies.  When we talk about things…

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Added by Don Philip Faithful on October 27, 2013 at 1:30pm — No Comments

STEM Education and Big Data

STEM is an acronym for the fields of science, technology, engineering and math and it has a push within United States, however there is a big factor is not taken into consideration yet by the masses in the world of Education, and that is the best use of Big Data. This is a lacking factor, as we are still exploring Big Data and its utilization at a novice level by our selves. Education by itself is a huge and vast field to conduct the research, by have an exploration within the research…

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Added by Atif Farid Mohammad on October 26, 2013 at 8:27am — 13 Comments

Creating Complex Encoded Objects from Qualitative Data

I have always found the task of converting qualitative data into something quantifiable a bit challenging.  A common route might be as follows:  assemble all of the resources containing qualitative information (e.g. questionnaires containing open-ended questions); seek out apparent themes in the responses; and quantify how frequently these themes are mentioned or raised.  This methodology leaves open the question of when something is or isn't a theme, and whether something must be a theme in…

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Added by Don Philip Faithful on October 25, 2013 at 7:49pm — No Comments

Reductive Versus Expansive Data

I have so far encountered two general types of data . . .

Reductive Data

This is data that conforms to prescribed criteria.  I sometimes describe it has the metrics of criteria or measurements of conformity.  For instance, an organization might want to measure something potentially obscure like "efficiency."  It therefore becomes necessary to establish under what conditions or criteria something is efficient.  I describe…

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Added by Don Philip Faithful on October 24, 2013 at 1:05pm — No Comments

R Tutorial for Beginners: A Quick Start-Up Kit



Learn R: A Statistical Programming Language



Here's my quick start-up kit for you.
  1. Install R
    1. Linux: "sudo apt-get install r-base" should do…
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Added by Mitchell A. Sanders on October 24, 2013 at 9:00am — 5 Comments

Big Data Skills In Demand (Comprehensive List)

Big Data kills In demand

Click on the image for full view

Here is a refresher from the last post:

“I went on a job board and searched for the number of job postings that listed Big Data tools as part of the requirements.”

I created a comprehensive list for Big Data skills in  response to the…

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Added by Fari Payandeh on October 23, 2013 at 7:20pm — 2 Comments

IBM Distinguished Engineer solves Big Data Conjecture

A mathematical problem related to big data was solved by Jean-Francois Puget, engineer in the Solutions Analytics and Optimization group at IBM France. The problem was first mentioned on Data Science Central, and an award was offered to the first data scientist to solve it.

Bryan Gorman, Principal Physicist, Chief Scientist at…

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Added by Vincent Granville on October 23, 2013 at 3:00pm — 4 Comments

The Professionalization of Data Science

There has been much discussion and debate about the definition of data science and the new rare breed of sexy bird…

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Added by Michael Walker on October 22, 2013 at 10:13pm — 2 Comments

Empower Network Analysts with Automated Pattern Discovery

Our modern lives are driven by computers. Machines grade your child’s standardized tests and identify potentially fraudulent credit card purchases. Behind the scenes of modern society even more machines are creating staggering amounts of unstructured data. Much of it is stored, but almost none of it is analyzed. Keeping these networks running requires that analysts not only be able to understand the streaming network data, but that they understand it as it happens.

Machine log data is…

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Added by Radhika Subramanian on October 22, 2013 at 10:02am — No Comments

Warm-up exercise before data science.

Practicing Data science indeed a long term effort than a learning handful of skills.  We ought to be academically good enough to take up this challenge. However, if you think you came a long way from your academic rebuilding,  but you still have that zeal & passion to take the oil from the data and fill the skill gap of data science then here is the warm-up tips. Below points must exercised before jumping into…

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Added by Manish Bhoge on October 18, 2013 at 9:26am — No Comments

Data Mining and Cookie Butter - Yes, they're related.

Data Mining and Cookie Butter

There is much buzz about the next revolution in technology and the coming innovations that will shape the 21st Century. Those welcoming this change espouse that our lives will be improved…
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Added by piALGO on October 17, 2013 at 8:32am — No Comments

A little known component that should be part of most data science algorithms

This is a component often missing, yet valuable for most systems, algorithms and architectures that are dealing with online or mobile data, known as digital data: be it transaction scoring, fraud detection, online marketing, marketing mix and advertising optimization, online search, plagiarism and spam detection, etc.

I will…

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Added by Vincent Granville on October 16, 2013 at 6:00pm — 5 Comments

20 white papers and power point presentations

Posted on AnalyticBridge over the last few years, related to analytics, data science, big data, statistics, visualization. Feel free to add yours.…

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Added by Vincent Granville on October 16, 2013 at 12:30pm — No Comments

Oil n Gas Sensor Data + Big Data Analytics = Game Changer !!!

Each blow costs the Oil and Gas industry a Billion dollars.…

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Added by derick.jose on October 16, 2013 at 12:02am — 3 Comments

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