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Full-Text Articles in Physical Sciences and Mathematics
High Performance Computing Markov Models Using Hadoop Mapreduce, Matthew Shaffer
High Performance Computing Markov Models Using Hadoop Mapreduce, Matthew Shaffer
e-Research: A Journal of Undergraduate Work
In this paper, I will explain how I used the probability modeling tool, Markov Models, in combination with Hadoop MapReduce parallel programming platform in order to quickly and efficiently analyses documents and create a probability model of them. I will explain what Markov Models are, give a brief overview of what MapReduce is, explain why Markov models can be used for document analysis, explain my code of the modeling program, and examine the performance of various MapReduce platforms and techniques in analyzing documents.
Computational Methods For Historical Research On Wikipedia’S Archives, Jonathan Cohen
Computational Methods For Historical Research On Wikipedia’S Archives, Jonathan Cohen
e-Research: A Journal of Undergraduate Work
This paper presents a novel study of geographic information implicit in the English Wikipedia archive. This project demonstrates a method to extract data from the archive with data mining, map the global distribution of Wikipedia editors through geocoding in GIS, and proceed with a spatial analysis of Wikipedia use in metropolitan cities.