Mohlo by sa vám tiež páčiť

Viac informácií o knihe Temporal Association Rule Based Models for Weather Prediction

• Parametre knihy
• Anotácia kniha
• Obľúbené z iného súdka

Nákupom získate 171 bodov

Anotácia knihy

From the starting era of computers, computerized systems are extensively utilized in weather forecasting. Due to the boom of internet and online environment of sensors and technology, the huge and variety of weather data is available for prediction. Traditional weather prediction approaches are no longer adequate with respect to time. Thus research work for weather attracts new generation of researchers to achieve a new metric of success by the fast, accurate and efficient solution by inclusion of indirect weather data, novelty and automation. This book, therefore, provides a new metric of success for temporal weather data prediction and supplemental parameters to consider in the traditional weather analysis for accurate prediction. The book covers the analysis and explanation to prepare the models gradually using geo-spatial temporal weather data. The analysis should help shed some light on exciting weather environment and mining. The book should be especially useful to professionals in weather forecasting and researchers, or anyone else who may be considering the research on online weather data using data mining, machine learning, etc

Parametre knihy

• Celý názov: Temporal Association Rule Based Models for Weather Prediction
• Podnázov: Concept and Stepwise Model Preparation
• Autor: Dipti Prakashkumar Rana, Naresh J. Mistry, Mukesh M. Raghuwanshi
• Jazyk: Angličtina
• Väzba: Brožovaná
• Počet strán: 168
• EAN: 9786202076166
• ID: 18791754
• Nakladateľ: LAP Lambert Academic Publishing
• Hmotnosť: 268 g
• Rozmery: 220 × 150 × 10 mm
• Rok vydania: 2017

Obľúbené z iného súdka

---

---

---