9786202671392

Ensemble Modelling for Disease Forecasting

Regular price
€39,90
Sale price
€39,90
Regular price
Sold out
Unit price
per 
Shipping calculated at checkout.

Summary:

The world is filled with lots and lots of data. Be it data in the form of pictures, statistical values, videos, music, words, etc. Traditionally human being is able to recognize and extract a meaningful pattern out of such data. But as the volume of data increases, it becomes impossible for a human being to extract it meaningfully. To get a meaning out of such bulk data, a set of tools are required with the help of which a machine can be taught to recognize the pattern and extract the information. The term machine learning came into existence. Time is an importantfactor when it comes to data where the sudden change in the values at a particular time can have a huge impact on the outcome. Smart forecasting tools powered by data science is necessary to successfully deal with capacity and strategic planning which is required to handle the scenario and save lives. The purpose of this book is to present an efficient model that can forecast the values more accurately in a particular field.

Author:

Nonita Sharma

Biographie:

Dr. Nonita Sharma works in the domain of Time series forecasting, Data Analytics, Wireless Sensor Networks.Dr. Deepti Kakkar's area of interest includes Spectrum Sensing in Multihop Networks for Cognitive Radios. Nashreen Sultana works in the area of time series forecasting modelling.

Author:

Deepti Kakkar

Biographie:

Author:

Nashreen Sultana

Biographie:

Number of Pages:

60

Book language:

English

Published On:

2020-06-19

ISBN:

9786202671392

Publishing House:

LAP LAMBERT Academic Publishing

Keywords:

ARIMA, Forecasting, Time Series, Communicable Diseases, prediction

Product category:

COMPUTERS / Information Technology