Full Description
| Cataloguing Source | LibUI ind rda |
| Content Type | text (rdacontent) |
| Media Type | unmediated (rdamedia); computer (rdamedia) |
| Carrier Type | volume (rdacarrier); online resource (rdacarrier) |
| Physical Description | xviii, 116 pages : illustration ; 30 cm + appendix |
| Concise Text | |
| Holding Institution | Universitas Indonesia |
| Location | Perpustakaan UI, Lantai 3 |
- Availability
- Digital Files: 1
- Review
- Cover
- Abstract
| Call Number | Barcode Number | Availability |
|---|---|---|
| S43461 | 14-21-443973628 | TERSEDIA |
| No review available for this collection: 20311857 |
Abstract
Algoritma data mining membutuhkan sumber data yang berkualitas untuk mendapatkan hasil yang optimal. Kualitas sumber data dapat ditingkatkan kualitasnya dengan menggunakan teknik preprosessing data yang tepat. Kemampuan dalam menampilkan output dari proses data mining yang mudah dimengerti sangat penting untuk mendapatkan pengetahuan. Penelitian ini bertujuan untuk mengembangkan aplikasi yang bisa menjawab kebutuhan dari algoritma data mining. Hasil dari penelitian ini adalah aplikasi yang dapat melakukan keseluruhan proses baik preprocessing data dalam hal pemilihan data dan pengolahan data awal, penyediaan metadata, sampai dengan analisis data menggunakan algoritma data mining. Sehingga, analisis jumlah data yang besar dapat dilakukan dengan efisien dan efektif, tetapi hasil prediksi yang didapatkan tetap optimal.
Data mining algorithms require high quality data sources to obtain optimal results. Quality of data sources can be enhanced by using appropriate data preprocessing techniques. Ability to display easily understood output of the data mining process is essential to gain knowledge. This study aims to develop applications that can address the needs of data mining algorithms. The results of this study is an application that can do the whole steps from data preprocessing until data analysis using data mining algorithms. Data processing itself includes data and preliminary data processing and provision of metadata.. So, analyzing large amount of data can be done in efficient and effective fashion without disregarding necessary need of optimal prediction result.
Data mining algorithms require high quality data sources to obtain optimal results. Quality of data sources can be enhanced by using appropriate data preprocessing techniques. Ability to display easily understood output of the data mining process is essential to gain knowledge. This study aims to develop applications that can address the needs of data mining algorithms. The results of this study is an application that can do the whole steps from data preprocessing until data analysis using data mining algorithms. Data processing itself includes data and preliminary data processing and provision of metadata.. So, analyzing large amount of data can be done in efficient and effective fashion without disregarding necessary need of optimal prediction result.