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All Blog Posts Tagged 'data mining techniques' (19)

Can Data Analytics Really Deliver 1300% ROI?

With the right business problem, data, and applied techniques predictive analytics can deliver exceptional return on investment (ROI) by, for example, assessing and managing risk, detecting and preventing fraud, optimizing workflow and business processes, and prioritizing resources.  Predictive analytics provides…

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Added by Paul Derstine on August 8, 2019 at 8:28am — No Comments

NLP vs. NLU: from Understanding a Language to Its Processing

As artificial intelligence progresses and technology becomes more sophisticated, we expect existing concepts to embrace this change — or change…

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Added by Max Ved on June 4, 2019 at 12:30am — No Comments

Book: Artificial Intelligence with Python

Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around you

About This Book

  • Step into the amazing world of intelligent apps using this comprehensive guide
  • Enter the world of Artificial Intelligence, explore it, and create your own applications
  • Work through simple yet insightful examples that will get you up and running with Artificial Intelligence in…
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Added by Capri Granville on April 6, 2018 at 5:30pm — 1 Comment

Book: Artificial Intelligence with Python

Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around you.

About This Book

  • Step into the amazing world of intelligent apps using this comprehensive guide
  • Enter the world of Artificial Intelligence, explore it, and create your own applications
  • Work through simple yet insightful examples that will get you up and running with Artificial Intelligence in no time

Who This Book Is…

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Added by Capri Granville on February 22, 2018 at 7:00pm — No Comments

Weekly Digest, December 25

Monday newsletter published by Data Science Central. Previous editions can be found here.  The contribution flagged with a + is our selection for the picture of the week.

Featured Resources and Technical Contributions

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Added by Vincent Granville on December 24, 2017 at 10:30am — No Comments

Feasibility of a personal knowledge management system based on statistical analysis and data mining

We start from the principle that natural language is too complex for computer programs, that’s why it is difficult to have simple programs that can mine natural language in an effective way. Therefore, if we could find a way to simplify the language, it would make it easier to design computer-assisted knowledge management programs. The proposed approach is to simplify the natural language into sequences of predefined keywords. The translation from the natural language to the list of keywords…

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Added by Issoufou Seidou Sanda on June 15, 2017 at 12:00am — No Comments

Fraud detections in the health care industry

One more opportunity to implement data mining techniques in the health care industry will be helping the healthcare insurers to detect fraud transactions so that the other patients can receive better and more affordable healthcare services. This occurs when individuals deceive an insurance company to try to obtain money to which they are not entitled. It happens when someone puts false information on an insurance application and when false or misleading information is given or…

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Added by Aravind Reddy on January 24, 2017 at 5:52pm — 2 Comments

The Experience of Being a High-Performing Data Scientist

Guest blog by James Kobielus. James is IBM's Big Data Evangelist. He is an industry veteran who spearheads IBM's thought leadership activities in big data, data science, enterprise data warehousing, advanced analytics, Hadoop, business intelligence, data management, and next best action technologies. Prior to joining IBM, he was a leading industry analyst, with firms including Forrester Research,…

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Added by Vincent Granville on November 22, 2016 at 10:30am — No Comments

Visual Analytics: Upcoming Revolution in Clinical Research?

Big data in Healthcare

The healthcare industry was a pioneer in consistently applying data mining techniques and analytics procedures to identify areas subject to optimization and potential improvements of clinical practice. The research methodology was typically focused on accepting or discarding an initial…

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Added by Rafael San Miguel Carrasco on May 19, 2016 at 10:12am — No Comments

The Guide to Learning Python for Data Science

Guest blog post by Martijn Theuwissen, co-founder at DataCamp.Other Python resources can be found here

Python is widely used for data analysis and you might have considered learning it yourself (if not, or if you’re still looking for that bit of extra motivation to get started, see why you should be…

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Added by Vincent Granville on May 4, 2016 at 7:57am — 4 Comments

Learning Analytics

Motivation

Education for years has been one model that fits for all. A fixed curriculum developed based on experience is delivered to a group of students with the hope of it getting across to all the students with the same effectiveness.  Then each student is graded based on the basis of his understanding of that curriculum. 

Now imagine a classroom where its not just the student that is learning about the world but where the classroom is also learning about the…

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Added by Shantanu Ranjan Verma on November 19, 2015 at 2:03am — 2 Comments

50+ Free Data Science Books

Very interesting compilation published here, with a strong machine learning flavor (maybe machine learning book authors - usually academics - are more prone to making their books available for free). Many are O'Reilly books freely available. Here we display those most relevant to data science. I haven't checked all the sources, but they seem legit. If you find some issue, let us know in the…

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Added by L.V. on September 19, 2015 at 9:00am — 4 Comments

27 free data mining books

I've received an unsolicited email today from Pedro Marcus, from DataOnFocus. While usually I don't even open them due to the volume that I get each day, this one was actually very interesting, thus I'm sharing it with you.

Free data mining books

  1. An…
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Added by Mirko Krivanek on March 24, 2015 at 7:30am — 7 Comments

Article: Using Data Mining Techniques to Predict the Winter Olympics Medal Counts

Can data mining techniques accurately predict the medal counts at the Olympics?  This question came into mind four years ago while I was watching the Winter Games in Vancouver.  I knew that a predictive model could give us an estimate of the number of medals each nation might win; but how close could we get to the actual outcomes? It was a tantalizing project ….      …

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Added by Daniel R. Graettinger on January 24, 2014 at 1:23pm — No Comments

Data Science – the Foundation for Leading Banks

 

Now-a-days, Banking Industry is facing many challenges - rapidly changing consumer environment, rigorous regulatory guidelines, highly competitive environment, emergence of new channels to name a few.

 

With these great challenges come great…

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Added by Mousumi Ghosh on January 9, 2014 at 12:56pm — No Comments

More than 100 data science, analytics, big data, visualization books

Also, coming soon (March 2014), my data science book published by Wiley, full of new material. I have written 6.5 chapters out of 8 so far, and I will share the table of content in our next weekly digest. This 300+ pages book will be our reference book for our…

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Added by Vincent Granville on November 6, 2013 at 3:00pm — 10 Comments

Data scientists dictate what we eat

Indirectly of course. There are other factors too, such as regulations which make it illegal to sell un-pasteurized milk, horse meat, foie gras, etc., but the biggest factor influencing what the average American eats is the margin the grocery store makes on the products it sells. This explains why you can't get redcurrants or passion fruits anymore, but you'll find plenty of high energy drinks and food rich in sugar…

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Added by Mirko Krivanek on June 8, 2013 at 12:00pm — 2 Comments

[Job] Data Scientist, Analytics - Twitter (San Francisco, CA)

About this Job

We're looking for highly motivated individuals to help us extract meaning from Twitter's massive dataset. As a Data Scientist for the Analytics team, you'll use statistical analysis and data mining techniques to help us better understand how users engage with Twitter, determine whether new and experimental features should be launched, and measure Twitter's success across the entire organization. You should be passionate about finding insights in data and using…

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Added by Vincent Granville on February 9, 2012 at 8:20am — No Comments

Healthcare fraud detection still uses cave-man data mining techniques

The Washington Education Association (WEA, in Washington State) is partnering with Aon Hewitts (Illinois), a verification company, to eliminate a specific type of health insurance fraud: teachers reporting non-qualifying people as dependents, such as an unemployed friend with no health insurance. The fraud is used by "nice" people (teachers) to provide health insurance to people who would otherwise have none, by reporting them as spouse or kids.

Interestingly, I saw the letter sent to…

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Added by Vincent Granville on December 7, 2011 at 5:16pm — No Comments

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