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All Blog Posts Tagged 'Mining' (33)

Why is Data Curation Important for Big Data Industry

Introduction

Big data is the buzzword today, isn’t it?

We live in the golden age of what…

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Added by Hiren patel on June 14, 2019 at 7:42pm — No Comments

Data Mining - Role It Plays In Mobile Application Development

According to a report conducted recently, it has been found that around 600 million people all around the globe use mobile devices. It also has been revealed that the users mostly use the mobile devices not just for making calls but also for using different mobile applications. The latest advancements of these devices alAlow for more engaging, complex and user-friendly applications. Because of this rapidly increasing prevalence among the universal population, mobile devices have become an…

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Added by David Fournier on May 16, 2018 at 11:00am — No Comments

Cluster.OBeu v1.2.1 release on CRAN

Cluster.OBeu v1.2.1 release on CRAN

We are very pleased to announce Cluster.OBeu v1.2.1 on CRAN!

Cluster.OBeu is used on OpenBudgets.eu data mininig tool platform with OpenCPU integration of R and JavaScript to estimate and return the necessary parameters for cluster…

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Added by Kleanthis Koupidis on March 12, 2018 at 4:00am — No Comments

The 7 Most Important Data Mining Techniques

Data mining is the process of looking at large banks of information to generate new information. Intuitively, you might think that data “mining” refers to the extraction of new data, but this isn’t the case; instead, data mining is about extrapolating patterns and new knowledge from the data you’ve already collected.

Relying on techniques and technologies from the intersection of database management, statistics, and machine learning, specialists in data mining have dedicated their…

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Added by Larry Alton on December 22, 2017 at 7:30am — No Comments

The Most Common Analytical and Statistical Mistakes

It is not only about understanding about statistics, it is also about implementing the correct statistical approach or method. In this brief article I will showcase some common statistical blunders that we generally make and how to avoid them.

To make this information simple and consumable I have divided these errors into two parts:

  1. Data Visualization Errors (Erroneous Graphs)
  2. Statistical Blunders Galore (pun intended)

 

Data…

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Added by Sunil Kappal on January 3, 2017 at 7:00am — 4 Comments

A Statistical Approach to Pick the Most Impactful Advertising Channel for Product Marketing

In the wake of ZMOT (Zero Moment of Truth) it becomes pivotal for any product company to choose the most appropriate advertisement channel for the promotion of their products. This not only helps the organizations to maximize their chances of creating the best first impression but will also help them to be discovered by today’s tech savvy consumers.

Today we will talk about a very…

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Added by Sunil Kappal on December 30, 2016 at 8:30am — No Comments

An Intro to Predictive Analytics: Can I predict the future?

At Grakn Labs we love technology. Here is our December 15th edition by Filipe Pinto Teixeira, where he looked back at Predictive Analytics.

*****…

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Added by Raphaelle Rf on December 23, 2016 at 6:00am — 2 Comments

[Data Mining] Association Rules in R (diapers and beer)

[Introduction of Association Rules]



Sometimes, the anecdotal story helps you understand the new concept. But, this story is real. About 15 years ago, in Walmart, a sales guy made efforts to boost sales in his store. His idea was simple. He bundled the products together and applied some discounts to the bundled products. (Now, it became common practices in marketing) For example, this guy bundled bread with jam, so that customers easily found them together. Moreover,…

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Added by Gregory Choi on August 22, 2016 at 7:30am — 5 Comments

The Data Mining Group releases PMML v4.3

The Data Mining Group (DMG), a vendor-led consortium of companies and organizations developing standards for statistical and data mining models, announced the general availability of version 4.3 of the Predictive Model Markup Language (PMML).

Chicago, IL 8/2/2016 – The Data Mining Group is proud to announce the release of PMML v4.3. PMML is an application and system independent XML interchange format for statistical and data mining models. The goal of the PMML standard is to…

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Added by Michael Zeller on August 5, 2016 at 12:30pm — No Comments

Introduction to Machine Learning / Data Mining

Machine Learning? Data Mining?



Well, there is a little bit difference between machine learning and data mining although I don't see any difference between them.

See the Stackexchange debate on the difference between machine learning and data mining.



At the end, it is about training the machine to…

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Added by Gregory Choi on April 7, 2016 at 4:30pm — No Comments

Data Mining of Time Series and spatio-temporal Data

Complex stuff! However, we can start from the basics , gain confidence in understanding our dataset and utilise whatever has already been done by other stalwarts! 

We have a 11 years monthly data on milk procurement by more than 100 milk co-ops spread across India. This contains their geographic location, quality of milk procured,  price received , products made etc etc. This is a seasonal industry  in India affected by weather, prices and in general crafty management acumen…

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Added by Subir Mitra on March 28, 2016 at 8:33am — No Comments

All About Data Science And Big Data

Data Science is the system used to extract insights from data that’s mined from various sources. Using various techniques including predictive modeling, Data Science helps to analyze and interpret vast amounts of data. The people who apply Data Science to manage large amounts of data are called Data Scientists. Let’s see how Data Science correlates with the…

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Added by Vaishnavi Agrawal on January 8, 2016 at 11:30pm — No Comments

10 Machine Learning Terms Explained in Simple English

If you’re relatively new to Machine Learning and it’s applications, you’ll more than likely have come across some pretty technical terms that are often difficult for the novice mathematician/scientist to get their head around.

Following on from a previous blog, (10 Common NLP Terms Explained for the Text Analysis Novice), we decided to put together a list of 10 Machine…

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Added by Mike Waldron on July 28, 2015 at 6:30am — 1 Comment

Naive Bayes for Dummies; A Simple Explanation

This blog post was originally published as part of an ongoing series, "Popular Algorithms Explained in Simple English" on the AYLIEN Text Analysis Blog.

Picture added by the…

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Added by Mike Waldron on June 8, 2015 at 1:00am — 2 Comments

Big Data Mining and Big Data Analytics

 
In three previous posts, I made an attempt to describe Data Mining, Data…
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Added by Khosrow Hassibi on April 22, 2015 at 11:00am — No Comments

Ten General Principles in Data Mining/Science

Through years, working with different clients and applications, I have found a set of data mining general principles that also hold through in the context of big data.  These are all listed in my book. Here I enumerate them using the terminology I have used in the book:
  1. Use of “all the data” is not equivalent to building the deepest Analytics Dataset (ADS) in terms of…
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Added by Khosrow Hassibi on April 3, 2015 at 9:30am — 1 Comment

Do you know what is bigger than Big Data?

From episode 10 of my Naked Analyst Channel on YouTube.

I think I do - and it is the ‘appification’ of analytics. What I mean by this is the reduction of a complex analytic activity such as market segmentation, down to a single button on your computer interface. Very much like the…

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Added by Steve Bennett on October 6, 2014 at 2:07pm — 4 Comments

Gather technical & business world

The Telecom market is saturating and to increase their turnovers, operators are very creative and launch many innovative offers combining devices (mobile phone, MP3 players...), software (music downloads,...) and network (IP calls, ...). On another level, operators would first like to set trustworthy relationships with their good clients and therefore identify them and propose them quality services. To do so, the advanced knowledge of the customers’ past experience is fundamental. In fact,…

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Added by Michel Bruley on February 5, 2014 at 12:13am — No Comments

Master Data Management Solutions

What is MDM and what does it involve?

MDM aims at referencing, managing and synchronising all the data across a company (e.g. products and customers data) to ensure the liability and preciseness. By using a good data management, the company will be able to simplify its processes, to avoid overlap and to ensure the quality and usability of the data. MDM has impacts on different levels for a company.  On the business side, it affects speed,…

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Added by Michel Bruley on January 2, 2014 at 12:48am — No Comments

“GHOST DEVELOPERS” AND BI CENTRE OF EXPERTISE: THE BELGACOM GROUP’S EXPERIENCE

 

Belgacom Group is the world 8th Telecom operator, it is 1st in Belgium for Mobile phone and landline services (e.g. 4,6 million mobile phone customers). The group employs 17 000 people, is owned (53, 5%) by the Belgium state and develop landline services under the brand names of Belgacom, Telindus, Skynet. Belgacom also develop a very specific approach for its strategic positioning by balancing the product leadership, prices competitiveness and the knowledge of its…

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Added by Michel Bruley on December 2, 2013 at 12:12am — No Comments

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