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Data Mining no Varejo: estudo de caso para loja de materiais de construção
| Content Provider | Semantic Scholar |
|---|---|
| Author | Schaeffer, André Gustavo |
| Copyright Year | 2003 |
| Abstract | This work presents a case study of data mining on the retail market. The issue in question is the trade of furniture and building material. The mining was performed over information generated by selling transactions in an eight months time period. Information on customer records were also used and compiled with selling information, in order to obtain results convertible in actions that consequently generate profits to the company. Every modelling, preparation and data transformation was made to ease the application of mining technics provided by the data mining tools for the knowledge discovery. The process was detailed to a better comprehension of the obtained results. The CRISP methodology used in this work is discussed as well, taking into account the difficulties and facilities that showed up during the result compilation steps. The positive and negative points of mining tools are analized as well: the IBM Intelligent Miner and WEKA – Waikato Environment for Knowledge Analysis, as well as all the other softwares needed for this work to be accomplished. At last, the obtained results are presented and discussed, as well as highlighted the company owner’s opinion regarding such results and which added value each one of them will present. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://lume.ufrgs.br/bitstream/handle/10183/3430/000400435.pdf;jsessionid=37233C16F9DEB0E76F6FF0548E966C64?sequence=1 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
