INTERMITTENT DEMAND FORECASTING USING DATA MINING TECHNIQUES
Intermittent demand occurs randomly with changing values and a lot of periods having zero demand. Ad hoc intermittent demand forecasting techniques have been developed which take special intermittent demand characteristics into account. Besides traditional techniques and specialized methods, data mi...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Polish Association for Knowledge Promotion
2018-06-01
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| Series: | Applied Computer Science |
| Subjects: | |
| Online Access: | http://www.acs.pollub.pl/pdf/v14n2/3.pdf |
| _version_ | 1819237441732608000 |
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| author | Gamze Ogcu KAYA Ali TURKYILMAZ |
| author_facet | Gamze Ogcu KAYA Ali TURKYILMAZ |
| author_sort | Gamze Ogcu KAYA |
| collection | DOAJ |
| description | Intermittent demand occurs randomly with changing values and a lot of periods having zero demand. Ad hoc intermittent demand forecasting techniques have been developed which take special intermittent demand characteristics into account. Besides traditional techniques and specialized methods, data mining offers a better alternative for intermittent demand forecasting since data mining methods are powerful techniques. This study contributes to the current literature by showing the benefit of using data mining methods for intermittent demand forecasting purpose by comprising mostly used data mining methods. |
| first_indexed | 2024-12-23T13:20:23Z |
| format | Article |
| id | doaj.art-efb9a8d43dbc4217aba99eacb1f3b1a4 |
| institution | Directory Open Access Journal |
| issn | 1895-3735 2353-6977 |
| language | English |
| last_indexed | 2024-12-23T13:20:23Z |
| publishDate | 2018-06-01 |
| publisher | Polish Association for Knowledge Promotion |
| record_format | Article |
| series | Applied Computer Science |
| spelling | doaj.art-efb9a8d43dbc4217aba99eacb1f3b1a42022-12-21T17:45:28ZengPolish Association for Knowledge PromotionApplied Computer Science1895-37352353-69772018-06-01142384710.23743/acs-2018-11INTERMITTENT DEMAND FORECASTING USING DATA MINING TECHNIQUESGamze Ogcu KAYA0Ali TURKYILMAZ1Sampoerna University, Department of Industrial Engineering, Jakarta, Indonesia, gamzeogcu@gmail.comNazarbayev University, School of Engineering, Astana, Kazakhstan, ali.turkyilmaz@nu.edu.kzIntermittent demand occurs randomly with changing values and a lot of periods having zero demand. Ad hoc intermittent demand forecasting techniques have been developed which take special intermittent demand characteristics into account. Besides traditional techniques and specialized methods, data mining offers a better alternative for intermittent demand forecasting since data mining methods are powerful techniques. This study contributes to the current literature by showing the benefit of using data mining methods for intermittent demand forecasting purpose by comprising mostly used data mining methods.http://www.acs.pollub.pl/pdf/v14n2/3.pdfANNsupport vector regressionsIntermittent Demand Forecasting |
| spellingShingle | Gamze Ogcu KAYA Ali TURKYILMAZ INTERMITTENT DEMAND FORECASTING USING DATA MINING TECHNIQUES Applied Computer Science ANN support vector regressions Intermittent Demand Forecasting |
| title | INTERMITTENT DEMAND FORECASTING USING DATA MINING TECHNIQUES |
| title_full | INTERMITTENT DEMAND FORECASTING USING DATA MINING TECHNIQUES |
| title_fullStr | INTERMITTENT DEMAND FORECASTING USING DATA MINING TECHNIQUES |
| title_full_unstemmed | INTERMITTENT DEMAND FORECASTING USING DATA MINING TECHNIQUES |
| title_short | INTERMITTENT DEMAND FORECASTING USING DATA MINING TECHNIQUES |
| title_sort | intermittent demand forecasting using data mining techniques |
| topic | ANN support vector regressions Intermittent Demand Forecasting |
| url | http://www.acs.pollub.pl/pdf/v14n2/3.pdf |
| work_keys_str_mv | AT gamzeogcukaya intermittentdemandforecastingusingdataminingtechniques AT aliturkyilmaz intermittentdemandforecastingusingdataminingtechniques |