Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories
Berkay Aydin, Rafal. A Angryk
Informasi Umum
Kode
21.21.1508
Klasifikasi
005.7 - Data in Computer Systems
Jenis
Buku - Elektronik (E-Book)
Subjek
Mining Equipment
No. Rak
Tel-U Purwokerto : Rak 2
Tel-U Bandung - Gedung Manterawu Lantai 5 : Rak 3
Dilihat
100 kali
Informasi Lainnya
Abstraksi
This SpringerBrief provides an overview within data mining of spatiotemporal frequent pattern mining from evolving regions to the perspective of relationship modeling among the spatiotemporal objects, frequent pattern mining algorithms, and data access methodologies for mining algorithms. While the focus of this book is to provide readers insight into the mining algorithms from evolving regions, the authors also discuss data management for spatiotemporal trajectories, which has become increasingly important with the increasing volume of trajectories. This brief describes state-of-the-art knowledge discovery techniques to computer science graduate students who are interested in spatiotemporal data mining, as well as researchers/professionals, who deal with advanced spatiotemporal data analysis in their fields. These fields include GIS-experts, meteorologists, epidemiologists, neurologists, and solar physicists.
Koleksi & Sirkulasi
Tersedia 1 dari total 1 Koleksi
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Pengarang
| Nama | Berkay Aydin, Rafal. A Angryk |
| Jenis | Perorangan |
| Penyunting | |
| Penerjemah |
Penerbit
| Nama | The Author(s), under exclusive license to Springer Nature Switzerland AG |
| Kota | Bern |
| Tahun | 2018 |
Sirkulasi
| Harga sewa | IDR 0,00 |
| Denda harian | IDR 0,00 |
| Jenis | Non-Sirkulasi |
