Tags » Data Mining

The Content Protection From Web Scraping

The following post is a brief review of the value of web scraping prevention and the ways to provide safety with limited or unlimited resources. Info protection is almost as costly as creating the applications and services, so it’s absolutely necessary to think about safety already on the first steps of the development! 90 more words

Big Data

Week 6: Post mortem

This week we were able to read emojis in tweets, and separate user name from the tweet itself. By doing this, we avoid analyzing user names, and actually analyze the tweet itself. 128 more words


What is Data Clustering?

There are many  algorithms in data mining to calculate the similarities of characteristic in one dataset. ‘We can retrieve similar things directly, for instance, IBM develops their prospects through looking for the best business customers of companies who have the most similarities with their business, while Amazon or Netflix use the similarity in their recommendation systems to suggest the similar products or cross-selling products to their customers’ 628 more words

Data Mining

Missing Data Classification of Chronic Kidney Disease

Wala Abedalkhader and Noora Abdulrahman
Department of Engineering Systems and Management, Masdar Institute of Science and
Technology, Abu Dhabi, United Arab Emirates


In this paper we propose an approach on chronic kidney disease classification with the presence of missing data. 108 more words

TED Talks: The rise of human-computer cooperation - Shyam Sankar

We look back on another great TED talk and this week Data Mining innovator Shyam Sankar shares his insights on the rise of human-computer cooperation. 49 more words

Machine Learning

Your Facebook Data Is Creepy as Hell

Since 2010, Facebook allows you to download an archive file of all your interactions with the network. It’s a 5-click easy process that your grandmother can do (more details below). 970 more words


Preprocessing a Dataset

In this blog post, we are going to talk about preprocessing in order to have a robust dataset for our model. When we are given a dataset, it is really important to understand it and by understanding, I mean to find the key features. 440 more words