| 翻訳と辞書 |
| FSA-Red Algorithm ： ウィキペディア英語版 |
FSA-Red Algorithm
FSA-Red Algorithm〔(" FSA-Red Algorithm" )''ieee.org'' (retrieved 24 April 2013)〕 is an algorithm for data reduction which is suitable to build strong association rule using data mining method such as Apriori algorithm.
== Setting ==
FSA-Red Algorithm, was introduced by Feri Sulianta in International Conference of Information and Communication Technology (ICOICT), Indonesia, Bandung, Wednesday, March 20, 2013〔(" ICOICT 2013 " ) ''icoict.org'' (retrieved 24 April 2013)〕 when he delivered presentation with the theme topics Mining food industrys multidimensional data to produce association rules using apriori algorithm as a basis of business stratgey.〔(" ICOICT 2013 Agenda and Presenter " ) ''icoict.org'' (retrieved 24 April 2013)〕 The Algorithm is used for data reduction or preprocessing to minimize the attribute to be analyzed. The goal is to make strong association rules using data mining technics related to the data which is reduced .
The data preprocessing in FSA-Red performed a few of reduction techniques such as attribute selection, row selection and feature selection. Row selection has done by deleting all signed record which related to the attribute which need to be analyzed. Feature selection will remove all the unwanted attribute, ended with attribute selection to eliminate the non value attributes which is no need to be included..
The Idea base on the justification no matter the reduction has done the reduction procedure have to consider the presence of the other information in all dataset, so that the reduction should be done systematically consider the linkages between attributes. After the reduction process there would be only the in instances in the small scale with integrity by mean no information lost among the attribute in every selective instance.
抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』
■ウィキペディアで「FSA-Red Algorithm」の詳細全文を読む
スポンサード リンク
| 翻訳と辞書 : 翻訳のためのインターネットリソース |
Copyright(C) kotoba.ne.jp 1997-2016. All Rights Reserved.
|
|