Text & Data Mining by practical means

Abstract Partitional clustering methods as k-medoid or k-means require an input parameter to specify the number of clusters to partition th...

Abstract It's presented a quick and effective method to leverage text clustering for data de-duplication and normalisation. The custom...

Introduction In the former posts we discussed about the following points: There are special points in the contour of the fractal that can...

Abstract: Fern fractal estimation thru recursive and deterministic algorithm. A fractal can be described as fixed point of a Markov pr...

Introduction I really love fractals theory. Nothing fascinates me as the amazing structures generated by a chaotic processes that describe ...

This is the last step to complete the explanation of the waiting time polynomials formula. Unfortunately it's a bit technical,...

Introduction b efore you start I got many clarification requests about the Waiting Time Polynomials I published on the blog in the last th...