Back to basics: Data Mining and Knowledge Discovery Process

Paras Doshi - Blog

Once in a while I go back to basics to revisit some of the fundamental technology concepts that I’ve learned over past few years. Today, I want to revisit Data Mining and Knowledge Discovery Process:

Here are the steps:

1) Raw Data

2) Data Pre processing (cleaning, sampling, transformation, integration etc)

3) Modeling (Building a Data Mining Model)

4) Testing the Model a.k.a assessing the Model

5) Knowledge Discovery

Here is the visualization:

knowledge discovery process data miningAdditional Note:

In the world of Data Mining and Knowledge discovery, we’re looking for a specific type of intelligence from the data which is Patterns. This is important because patterns tend to repeat and so if we find patterns from our data, we can predict/forecast that such things can happen in future.

Conclusion:

In this blog post, we saw the Knowledge Discovery and Data Mining process.

View original post

About fdnropsec

I have earned a Bachelor of Science in International Relations from the University of Houston where I also minored in International Business and Print Journalism. During my time in the journalism field I had the unique opportunity to meet and interview President George W. Bush and former Defense Secretary Robert Gates during the lead up to the Iraq war. Since then my studies have focused on predictive analytics in the areas of nuclear counter-terrorism, criminal intelligence analysis and foreign policy analysis in a freelance capacity. Currently, I am pursuing a Master of Arts in Intelligence Studies at American Military University. I am a contributing member of the Academy of Political Science, member of the National Military Intelligence Association, and am an International Gold Key Scholar. That said, I have designed this collective analytical effort to operationalize and fuse various analytic frameworks so as to generate a predictive model that will mitigate cognitive bias, frivolous speculation, and nonsensical character assaults, and ultimately deliver comprehensive quantifiable OSINT products containing sound and transparent analytic judgments to the search for Dylan Redwine deliverable through a custom Geographic Information System (GIS).

Posted on March 11, 2013, in Uncategorized. Bookmark the permalink. Leave a comment.

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s

%d bloggers like this: