eprintid: 7802
rev_number: 6
eprint_status: archive
userid: 8
dir: disk0/00/00/78/02
datestamp: 2013-05-21 14:28:42
lastmod: 2013-05-21 14:28:42
status_changed: 2013-05-21 14:28:42
type: article
metadata_visibility: show
creators_name: MARIA ULFAH, SIREGAR 
title: DATA PREPARATION FOR DATA MINING BASED ON NEURAL NETWORK: A CASE STUDY ON GERMAN CREDIT CLASSIFICATION DATASET
ispublished: pub
subjects: jur_kaunia
divisions: ejour
full_text_status: public
keywords: Data preparation, data, missing value, data cleaning, data
integration, data transformation, statistical analysis.
abstract: This paper will give detailed data description and preparation of German Credit
Classification dataset, before it is used for further processes in data mining or data
warehouse. Data preparation is the longest and most difficult part of data mining process.
In general, readily available data is usually dirty and sometimes no quality data is available.
There are five parts in data description and preparation that are going to be given in this
paper. The first part is the name of the dataset and the number of examples and their types
of attributes. In the second part, some examples from good and bad class as are given in
the form of tables. Then, a data preliminary process is carried out to detect missing
values from each attribute. Next, the result of statistical data analysis is displayed on
charts or categories tables from each attribute. The last part is preprocessing, which
comprise of data cleaning, integration and transformation. Based on the results obtained,
three out of twenty attributes are deleted: Attribute 10, Attribute 18 and Attribute 20. So,
the final data is smaller than the original one. Moreover, data is distributed more normally
and in suitable patterns, which is hoped to be helpful for further processes.
date: 2008-10-01
publication: Kaunia Jurnal Sains dan Teknologi vol IV, no2, oktober 2008
refereed: TRUE
citation:   MARIA ULFAH, SIREGAR   (2008) DATA PREPARATION FOR DATA MINING BASED ON NEURAL NETWORK: A CASE STUDY ON GERMAN CREDIT CLASSIFICATION DATASET.  Kaunia Jurnal Sains dan Teknologi vol IV, no2, oktober 2008.       
document_url: https://digilib.uin-suka.ac.id/id/eprint/7802/1/MARIA%20ULFAH%20SIREGAR%20DATA%20PREPARATION%20FOR%20DATA%20MINING%20BASED%20ON%20NEURAL%20NETWORK%20A%20CASE%20STUDY%20ON%20GERMAN%20CREDIT%20CLASSIFICATION%20DATASET.pdf
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