Comparative analysis of data mining techniques for business data
Data mining is the process of employing one or more computer learning techniques to automatically analyze and extract knowledge from data contained within a database.Companies are using this tool to further understand their customers, to design targeted sales and marketing campaigns, to predict what...
| Main Authors: | , |
|---|---|
| Format: | Conference or Workshop Item |
| Published: |
2014
|
| Subjects: |
| _version_ | 1825803309699563520 |
|---|---|
| author | Jamil, Jastini Mohd Shaharanee, Izwan Nizal |
| author_facet | Jamil, Jastini Mohd Shaharanee, Izwan Nizal |
| author_sort | Jamil, Jastini |
| collection | UUM |
| description | Data mining is the process of employing one or more computer learning techniques to automatically analyze and extract knowledge from data contained within a database.Companies are using this tool to further understand their customers, to design targeted sales and marketing campaigns, to predict what product customers will buy and the frequency of purchase, and to spot trends in customer preferences that can lead to new product development.In this paper, we conduct a systematic approach to explore several of data mining techniques in business application.The experimental result reveals that all data mining techniques accomplish their goals perfectly, but each of the technique has its own characteristics and specification that demonstrate their accuracy, proficiency and preference. |
| first_indexed | 2024-07-04T05:54:52Z |
| format | Conference or Workshop Item |
| id | uum-14140 |
| institution | Universiti Utara Malaysia |
| last_indexed | 2024-07-04T05:54:52Z |
| publishDate | 2014 |
| record_format | eprints |
| spelling | uum-141402016-05-19T01:06:39Z https://repo.uum.edu.my/id/eprint/14140/ Comparative analysis of data mining techniques for business data Jamil, Jastini Mohd Shaharanee, Izwan Nizal QA76 Computer software Data mining is the process of employing one or more computer learning techniques to automatically analyze and extract knowledge from data contained within a database.Companies are using this tool to further understand their customers, to design targeted sales and marketing campaigns, to predict what product customers will buy and the frequency of purchase, and to spot trends in customer preferences that can lead to new product development.In this paper, we conduct a systematic approach to explore several of data mining techniques in business application.The experimental result reveals that all data mining techniques accomplish their goals perfectly, but each of the technique has its own characteristics and specification that demonstrate their accuracy, proficiency and preference. 2014 Conference or Workshop Item PeerReviewed Jamil, Jastini and Mohd Shaharanee, Izwan Nizal (2014) Comparative analysis of data mining techniques for business data. In: 3rd International Conference on Quantitative Sciences and its Applications (ICOQSIA 2014), 12–14 August 2014, Langkawi, Kedah Malaysia. http://doi.org/10.1063/1.4903641 doi:10.1063/1.4903641 doi:10.1063/1.4903641 |
| spellingShingle | QA76 Computer software Jamil, Jastini Mohd Shaharanee, Izwan Nizal Comparative analysis of data mining techniques for business data |
| title | Comparative analysis of data mining techniques for business data |
| title_full | Comparative analysis of data mining techniques for business data |
| title_fullStr | Comparative analysis of data mining techniques for business data |
| title_full_unstemmed | Comparative analysis of data mining techniques for business data |
| title_short | Comparative analysis of data mining techniques for business data |
| title_sort | comparative analysis of data mining techniques for business data |
| topic | QA76 Computer software |
| work_keys_str_mv | AT jamiljastini comparativeanalysisofdataminingtechniquesforbusinessdata AT mohdshaharaneeizwannizal comparativeanalysisofdataminingtechniquesforbusinessdata |