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Cristian Mesiano
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  • zürich
  • Switzerland
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  • Marco Santambrogio
  • Rosaria Silipo

Cristian Mesiano's Discussions

Classification Step: C 5.0 vs SVM
2 Replies

A new post on my blog:An early approach at "document classifier".I hope it will triggers some discussion on classification techniques.…Continue

Tags: SVM, C5, Classification

Started this discussion. Last reply by Cristian Mesiano Sep 12, 2011.

 

Cristian Mesiano's Page

Profile Information

Short Bio:
I am graduated (Master Degree) in CS and I work in a Enterprise Content Management department in a multinational company (Reinsurance focused). Our tasks are focused on document auto classification, document data extraction, selective search. We mix latest algorithms with Business requirements to offer real solution for demanding content consumers!
My Website or LinkedIn Profile (URL):
http://textanddatamining.blogspot.com/
Field of Expertise:
Business Analytics, Predictive Modeling, Data Mining, Econometrics, Statistical Programming, Artificial Intelligence
Years of Experience in Analytical Role:
8
Professional Status:
Other
Interests:
Networking
What is your Favorite Data Mining or Analytical Website?
http://textanddatamining.blogspot.com/
Your Company:
Swiss RE

Cristian Mesiano's Blog

Document Clustering and Graph Clustering: graph entropy as linkage function

Let's continue our discussion about the applications of the graph entropy concept.

Today I'm going to show how we can re-use the same concept on the document clustering.

What I want to highlight is that through such methodology it's possible to:



  1. extract from a document the relevant words (as discussed …
Continue

Posted on November 17, 2012 at 1:35am

Key words through graph entropy Hierarchical clustering

CLICK HERE TO READ MORE

In the last post I showed how to extract key words from a text through a principle called graph entropy.

Today I'm going to show another application of the graph entropy in order to extract clusters of key words.

Why

The key words of a document depict the main topic of the content, but if the document is big, often, there are many different sub topics related to the…

Continue

Posted on October 24, 2012 at 11:34am

Graph Entropy to extract relevant words

I would share with you some early results about a research I'm doing in the field of "graph entropy" applied to text mining problem.

click here to read the entire post

Why Graph Entropy is so important?

Based on the main concept of entropy the following assumptions are true:



  • The entropy of a graph should be a functional of the…
Continue

Posted on September 24, 2012 at 2:39pm

Function minimization: Simulated Annealing led by variance criteria vs Nelder Mead

Most of the datamining problems can be reduced as a minimization/maximization problem.

... click here to read the entire post

Examples
Let's consider  easy scenarios where the function cost is conditionated just by two parameters.…

Continue

Posted on August 12, 2012 at 3:09am

Comment Wall (1 comment)

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At 1:23pm on August 31, 2011, Marco Santambrogio said…

Ciao Cristian.

Bhe consigli su questo tema sono sempre delicati.

Sul text mining ti direi di seguire bene gli sviluppi di SAS e di EXPERT SYSTEM

In generale, gli Analytics un pò alla volta si stanno sviluppando, non solo nel Finance e Telco.

  

 
 
 

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