Detail Buku
| Judul Buku | : | Data Mining:Practical Machine Tools and Techniques |
| Penulis | : |
Ian H. Witten
Eibe Frank
|
| Penerbit | : | Elsevier |
| Tahun Terbit | : | 2005 |
| Subject | : |
Database
|
| ISBN | : | 978-0-12-088407-0 |
| Nomor Klasifikasi | : | 005.74 Wit d |
| Lokasi Buku | : | Lt.1, R22/4 |
Sinopsis / Abstrak
Data Mining: Practical Machine Learning Tools and Techniques memberikan pengenalan yang komprehensif terhadap teknik machine learning dan data mining. Penulis menjelaskan konsep-konsep penting melalui contoh praktis dan studi kasus nyata, disertai penggunaan perangkat lunak WEKA. Buku ini membantu pembaca memahami cara memilih, menerapkan, dan mengevaluasi algoritma untuk memperoleh informasi yang berguna dari data.
Deskripsi
Inside thi book, you'll find: 1. Algorithmic methods at the heart of succesful data mining-including tried and true techniques as well as leading edge methods, 2. Performance improvement techniques that work by transforming the input or output. 3. Downloaddable wake, a collection of machine learning algoritms for data mining tasks, including tools for data pre-processing, classification, regression, clustering, association rules, and visualization in a new interactive interface.
Eksemplar
1 Eksemplar| No | Barcode Number | Ketersediaan | Boleh Dipinjam | Kondisi |
|---|---|---|---|---|
| 1 | 12.0000.07117 | Tersedia | Ya | Baik |