intelligencemining.blogspot.com
Data Mining Blog: June 2012
http://intelligencemining.blogspot.com/2012_06_01_archive.html
Wednesday, June 20, 2012. Understanding Job market using Probabilistic Graphical Models. Here, I present my Idea on understanding job market using probabilistic Graphical Models. This is also a simple and practical example of Bayesian networks. Links to this post. Subscribe to: Posts (Atom). View my complete profile. Understanding Job market using Probabilistic Graph. Simple template. Powered by Blogger.
intelligencemining.blogspot.com
Data Mining Blog: June 2009
http://intelligencemining.blogspot.com/2009_06_01_archive.html
Wednesday, June 10, 2009. Introduction to Data Mining. What is Data Mining? Links to this post. Introduction to Data mining. What is Data mining. Subscribe to: Posts (Atom). View my complete profile. Introduction to Data Mining. Simple template. Powered by Blogger.
intelligencemining.blogspot.com
Data Mining Blog: 25th Place in Hearst Challenge
http://intelligencemining.blogspot.com/2011/10/25th-place-in-hearst-challenge.html
Wednesday, October 5, 2011. 25th Place in Hearst Challenge. In my earlier post. I have shared the code for data preparation for Hearst Challenge. The final results of Hearst Challenge. Is announced. Glad to know that my simple model has got 25th place in the Challenge. Subscribe to: Post Comments (Atom). View my complete profile. 25th Place in Hearst Challenge. Simple template. Powered by Blogger.
intelligencemining.blogspot.com
Data Mining Blog
http://intelligencemining.blogspot.com/2012/06/understanding-job-market-using.html
Wednesday, June 20, 2012. Understanding Job market using Probabilistic Graphical Models. Here, I present my Idea on understanding job market using probabilistic Graphical Models. This is also a simple and practical example of Bayesian networks. October 9, 2012 at 1:26 AM. Hey, nice site you have here! Keep up the excellent work! Data Mining Company in Chennai. Subscribe to: Post Comments (Atom). View my complete profile. Understanding Job market using Probabilistic Graph.
intelligencemining.blogspot.com
Data Mining Blog: August 2011
http://intelligencemining.blogspot.com/2011_08_01_archive.html
Friday, August 5, 2011. Data preperation code for Hearst Challenge Data Mining Competition. Http:/ code.google.com/p/hearstchallenge/. This code project contains the data preprocessing scripts in python for the hearst challenge. This converts hearst challenge data in to. Svm light format. The script current supports only the svm light format but it can be easily modified to. Write the data in some other format. 1 Concat the Modeling files in to single file. You will get the below files:. Click flag.t...
intelligencemining.blogspot.com
Data Mining Blog: July 2009
http://intelligencemining.blogspot.com/2009_07_01_archive.html
Wednesday, July 15, 2009. Data Preprocessing – Normalization. Is performed. DP ( I am going to refer Data preprocessing as DP henceforth) is a part of ETL, its nothing but transforming the data. To be more precise modifying the source data in to a different format which. I) enables data mining algorithms to be applied easily. Ii) improves the effectiveness and the performance of the mining algorithms. Iii) represents the data in easily understandable format for both humans and machines. Links to this post.
intelligencemining.blogspot.com
Data Mining Blog: DataMining Tools Catching up with Big Data
http://intelligencemining.blogspot.com/2011/09/datamining-tools-catching-up-with-big.html
Friday, September 23, 2011. DataMining Tools Catching up with Big Data. With Data Explosion increasing every data, the well established data mining tools are getting ready to attack the Big Data. With the help of hadoop Framework. Hadoop. Is a Mimic of Google's Map reduce. Built in java. It provides a framework for massive parallel and distributed computing on commodity hardware. Is a machine learning framework built on top of the Hadoop Framewrok, which implements few of the machine learning algorithms.
intelligencemining.blogspot.com
Data Mining Blog: October 2011
http://intelligencemining.blogspot.com/2011_10_01_archive.html
Wednesday, October 5, 2011. 25th Place in Hearst Challenge. In my earlier post. I have shared the code for data preparation for Hearst Challenge. The final results of Hearst Challenge. Is announced. Glad to know that my simple model has got 25th place in the Challenge. Links to this post. Subscribe to: Posts (Atom). View my complete profile. 25th Place in Hearst Challenge. Simple template. Powered by Blogger.
intelligencemining.blogspot.com
Data Mining Blog: October 2012
http://intelligencemining.blogspot.com/2012_10_01_archive.html
Tuesday, October 30, 2012. De-duplicating, merging customer records with clustering. Frustrated with multiple records of the same customer which just differ due to a typo or abbreviation or different possible representations of same address? Customer duplicate records could be very tricky. They suffer the problems such as abbreviating the address, typos and various possible representation of same address and name. Say for eg., both these addresses refer to the same place. John st. 23. Links to this post.
