Clustering algorithm for market-basket analysis : the underlying concept of data mining technology
The goal of data mining is to extract interesting correlated information from large databases. This thesis seeks to understand the underlying concept of data mining technology in market-basket analysis. The clustering algorithm based on Small Large Ratios, SLR is presented in a manner that helps...
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| Format: | Thesis |
| Language: | English English |
| Published: |
2003
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| Online Access: | http://psasir.upm.edu.my/id/eprint/8705/1/FSKTM_2003_7%20IR.pdf |
| _version_ | 1796967584019513344 |
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| author | Abdul Kadir, Khairil Annuar |
| author_facet | Abdul Kadir, Khairil Annuar |
| author_sort | Abdul Kadir, Khairil Annuar |
| collection | UPM |
| description | The goal of data mining is to extract interesting correlated
information from large databases. This thesis seeks to
understand the underlying concept of data mining technology in
market-basket analysis. The clustering algorithm based on
Small Large Ratios, SLR is presented in a manner that helps to
understand the concept of data mining technology in marketbasket
analysis. The author used a data mining software called
PolyAnalyst 4.5 to perform analysis on the set of items that
customers have bought in supermarket for market-basket
application. In this research, the author tried to relate the
algorithm presented with the experiment. Then, the author
discussed the results by showing an application of marketbasket
analysis. The statistical results from the PolyAnalyst's
reports are explained and elaborated further i n the results
section. The author summarized the findings and tried to relate
them to the benefits of data mining towards organizations. |
| first_indexed | 2024-03-06T07:16:00Z |
| format | Thesis |
| id | upm.eprints-8705 |
| institution | Universiti Putra Malaysia |
| language | English English |
| last_indexed | 2024-03-06T07:16:00Z |
| publishDate | 2003 |
| record_format | dspace |
| spelling | upm.eprints-87052023-12-28T01:03:04Z http://psasir.upm.edu.my/id/eprint/8705/ Clustering algorithm for market-basket analysis : the underlying concept of data mining technology Abdul Kadir, Khairil Annuar The goal of data mining is to extract interesting correlated information from large databases. This thesis seeks to understand the underlying concept of data mining technology in market-basket analysis. The clustering algorithm based on Small Large Ratios, SLR is presented in a manner that helps to understand the concept of data mining technology in marketbasket analysis. The author used a data mining software called PolyAnalyst 4.5 to perform analysis on the set of items that customers have bought in supermarket for market-basket application. In this research, the author tried to relate the algorithm presented with the experiment. Then, the author discussed the results by showing an application of marketbasket analysis. The statistical results from the PolyAnalyst's reports are explained and elaborated further i n the results section. The author summarized the findings and tried to relate them to the benefits of data mining towards organizations. 2003-03 Thesis NonPeerReviewed text en http://psasir.upm.edu.my/id/eprint/8705/1/FSKTM_2003_7%20IR.pdf Abdul Kadir, Khairil Annuar (2003) Clustering algorithm for market-basket analysis : the underlying concept of data mining technology. Masters thesis, Universiti Putra Malaysia. Data mining Cluster analysis - Computer programs English |
| spellingShingle | Data mining Cluster analysis - Computer programs Abdul Kadir, Khairil Annuar Clustering algorithm for market-basket analysis : the underlying concept of data mining technology |
| title | Clustering algorithm for market-basket analysis : the underlying concept of data mining technology |
| title_full | Clustering algorithm for market-basket analysis : the underlying concept of data mining technology |
| title_fullStr | Clustering algorithm for market-basket analysis : the underlying concept of data mining technology |
| title_full_unstemmed | Clustering algorithm for market-basket analysis : the underlying concept of data mining technology |
| title_short | Clustering algorithm for market-basket analysis : the underlying concept of data mining technology |
| title_sort | clustering algorithm for market basket analysis the underlying concept of data mining technology |
| topic | Data mining Cluster analysis - Computer programs |
| url | http://psasir.upm.edu.my/id/eprint/8705/1/FSKTM_2003_7%20IR.pdf |
| work_keys_str_mv | AT abdulkadirkhairilannuar clusteringalgorithmformarketbasketanalysistheunderlyingconceptofdataminingtechnology |