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Atomic data mining numerical methods, source code SQlite with Python

Autor
Khwaldeh, A.; Tahat, A.; Marti, J.; Tahat, M.
Tipus d'activitat
Article en revista
Revista
Procedia - Social and behavioral sciences
Data de publicació
2013-02-27
Volum
73
Pàgina inicial
232
Pàgina final
239
DOI
https://doi.org/10.1016/j.sbspro.2013.02.046 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/19480 Obrir en finestra nova
URL
http://www.sciencedirect.com/science/article/pii/S187704281300339X Obrir en finestra nova
Resum
This paper introduces a recently published Python data mining book (chapters, topics, samples of Python source code written by its authors) to be used in data mining via world wide web and any specific database in several disciplines (economic, physics, education, marketing. etc). The book started with an introduction to data mining by explaining some of the data mining tasks involved classification, dependence modelling, clustering and discovery of association rules. The book addressed that usi...
Citació
Khwaldeh, A. [et al.]. Atomic data mining numerical methods, source code SQlite with Python. "Procedia - Social and behavioral sciences", 27 Febrer 2013, vol. 73, p. 232-239.
Grup de recerca
SIMCON - First-principles approaches to condensed matter physics: quantum effects and complexity

Participants

  • Khwaldeh, Ali  (autor)
  • Tahat, Amani  (autor)
  • Marti Rabassa, Jordi  (autor)
  • Tahat, Mofleh  (autor)