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26th Annual International Computer Software and Applications Conference
Theorize with Data Using Rough Sets
Oxford, England
August 26-August 29
ISBN: 0-7695-1727-7
ASCII Text
x 
 
Z Pawlak, "Theorize with Data Using Rough Sets," Computer Software and Applications Conference, Annual International, pp. 1125, 26th Annual International Computer Software and Applications Conference, 2002.
 
 
BibTex
x
 
@article{ 10.1109/CMPSAC.2002.1045162,
author = {Z Pawlak},
title = {Theorize with Data Using Rough Sets},
journal ={Computer Software and Applications Conference, Annual International},
volume = {0},
year = {2002},
issn = {0730-3157},
pages = {1125},
doi = {http://doi.ieeecomputersociety.org/10.1109/CMPSAC.2002.1045162},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Computer Software and Applications Conference, Annual International
TI - Theorize with Data Using Rough Sets
SN - 0730-3157
SP
EP
A1 - Z Pawlak,
PY - 2002
KW - null
VL - 0
JA - Computer Software and Applications Conference, Annual International
ER -
 
Z Pawlak, University of Information Technology and Management

In this paper we will study the granular structure of data in the language of rough set theory. It is shown That the granularity of data can be represented in a form of a flow graph, and the relationship between granules obeys Bayes' theorem. This leads to a new method of data analysis.

  • Motto: "It is a capital mistake to theorize before one has data"
  • Sherlock Holmes"
  • In: A SCandal in Bohemia

    • This paper is dedicated to the renowned Mr. Sherlock Holmes for his mastery in theorizing about data.

    Citation:
    Z Pawlak, "Theorize with Data Using Rough Sets," compsac, pp.1125, 26th Annual International Computer Software and Applications Conference, 2002
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