Книга: Sagarkumar Badhiye,Prashant Chatur and Bhushan Wakode «Temperature&Humidity Prediction Using Data Mining»

Temperature&Humidity Prediction Using Data Mining

Производитель: "LAP Lambert Academic Publishing"

The scope of this research work is to investigate the importance of data mining technique in understanding the variation of temperature and humidity data for which some statistical and mathematical models are used. Here, historical climate data (temperature and humidity) of a region and data mining algorithm K-Nearest Neighbor is used for prediction of temperature and humidity values based on which classification of climate condition is done. It has become important to find an effective and accurate tool to analyze and extract hidden knowledge from climate data due to its increasing availability during the last decade. Knowledge of climate data in a region is essential for business, society, agriculture, energy applications, research and development. Temperature and humidity data is also used in the estimation of bio-meteorological parameters in a region. Data Mining is recently applied to show affect of climate variation on human society and thus, statistical Data Miner software is... ISBN:9783659201103

Издательство: "LAP Lambert Academic Publishing" (2013)

ISBN: 9783659201103

См. также в других словарях:

  • Data mining in meteorology — Meteorology is the interdisciplinary scientific study of the atmosphere. It observes the changes in temperature, air pressure, moisture and wind direction. Usually, temperature, pressure, wind measurements and humidity are the variables that are… …   Wikipedia

  • Earth Sciences — ▪ 2009 Introduction Geology and Geochemistry       The theme of the 33rd International Geological Congress, which was held in Norway in August 2008, was “Earth System Science: Foundation for Sustainable Development.” It was attended by nearly… …   Universalium

  • National Weather Service — NWS Agency overview Formed February 9, 1870 Jurisdiction …   Wikipedia

  • Life Sciences — ▪ 2009 Introduction Zoology       In 2008 several zoological studies provided new insights into how species life history traits (such as the timing of reproduction or the length of life of adult individuals) are derived in part as responses to… …   Universalium

  • Concept drift — In predictive analytics and machine learning, the concept drift means that the statistical properties of the target variable, which the model is trying to predict, change over time in unforeseen ways. This causes problems because the predictions… …   Wikipedia

  • Mountain Wave Project — Logo Mountain Wave Project The Mountain Wave Project (MWP) pursues global scientific research of gravity waves and associated turbulence. MWP seeks to develop new scientific insights and knowledge through high altitude and record seeking glider… …   Wikipedia

Поделиться ссылкой на выделенное

Прямая ссылка:
Нажмите правой клавишей мыши и выберите «Копировать ссылку»