Predictive Data Mining Models.
This book reviews forecasting data mining models, from basic tools for stable data through causal models, to more advanced models using trends and cycles. These models are demonstrated on the basis of business-related data, including stock indices, crude oil prices, and the price of gold. The book&#...
Saved in:
| Main Author | |
|---|---|
| Other Authors | |
| Format | Electronic eBook |
| Language | English |
| Published |
Singapore :
Springer Singapore,
2016.
|
| Series | Computational risk management.
|
| Subjects | |
| Online Access | Full text |
| ISBN | 9789811025433 9811025428 |
| Physical Description | 1 online resource (105 pages) |
Cover
| Summary: | This book reviews forecasting data mining models, from basic tools for stable data through causal models, to more advanced models using trends and cycles. These models are demonstrated on the basis of business-related data, including stock indices, crude oil prices, and the price of gold. The book's main approach is above all descriptive, seeking to explain how the methods concretely work; as such, it includes selected citations, but does not go into deep scholarly reference. The data sets and software reviewed were selected for their widespread availability to all readers with internet access. |
|---|---|
| ISBN: | 9789811025433 9811025428 |
| Access: | Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty |
| Physical Description: | 1 online resource (105 pages) |