Data Driven Approach with Apriori Algorithm in Processing Stock Items
| Main Author: | Sihotang, Hengki Tamando |
|---|---|
| Format: | Article info application/pdf Journal |
| Bahasa: | eng |
| Terbitan: |
Institute Of Computer Science (IOCS)
, 2019
|
| Online Access: |
https://iocscience.org/ejournal/index.php/CNAPC/article/view/32 https://iocscience.org/ejournal/index.php/CNAPC/article/view/32/24 |
Daftar Isi:
- Data processing for the process of calculation or transformation of input data into information that is easy to understand. In addition, data processing is a process consisting of data storage and data handling activities.Data Mining is one of the fastest growing fields due do the huge need for added value from large-scale databases that are accumulating more and more as information grows. The general defenition of Data it self is not known manually from a data set. By showing the correlation of previously unknown data, the store owner can make the decision to progress store. Data Mining is used many places and fielda of application can also vary, data mining learn what are the main factors inthe accuracy of the target purchase of a product by consumers. Business intelligence is the process of converting data into information. Apriori Algorithm is one of the data mining algorithms in the formation of association of rule mining.Algorithm mining is the process of extracting information from a database, followed by doing frequent item/ itemset in formation of association rule mining in order to get the minimum value of support and minimum confidence value.