“Data Mining Techniques for Weather Prediction: A Review”, International Journal on Recent and Innovation Trends in Computing and Communication, vol. 2, no. 8, pp. 2184–2189, August 2014.Divyachuan ., jawaharthakur ., "Data mining techniques for weather prediction: A review"/ International...
Data mining is the process of using advanced software, algorithms, and statistical techniques to analyze large volumes of data in order to uncover hidden patterns, relationships, and trends. By sifting through vast datasets, data mining enables businesses and organizations to extract valuable insights ...
Data-mining techniques for traffic accident modeling and prediction in the United Arab Emirates. J. Transp. Saf. Secur. 2017, 9, 146-166. [CrossRef]M. Taamneh, S. Alkheder, and S. Taamneh, "Data-mining techniques for traffic accident modeling and prediction in the United Arab Emirates,...
Ensemble methodscombine multiple models to improve prediction accuracy and generalization. Techniques like Random Forests and Gradient Boosting utilize a combination of weak learners to create a stronger, more accurate model. 10. Text Mining Text miningtechniques are applied to extract valuable insights an...
Data mining is the process of extracting potentially useful information from data sets. It uses a suite of methods to organise, examine and combine large data sets, including machine learning, visualisation methods and statistical analyses. Data mining is used in computational biology and bioinformatics...
Ensemble methodscombine multiple models to improve prediction accuracy and generalization. Techniques like Random Forests and Gradient Boosting utilize a combination of weak learners to create a stronger, more accurate model. 10. Text Mining Text miningtechniques are applied to extract valuable insights an...
In conclusion, prediction and mining techniques have been widely explored; however, teacher evaluation is in the process of growth with particular emphasis on fuzzy principles, considering that human decision-making is developed with uncertainty, which is strongly related to human behavior....
The primary tasks of data mining approaches involve clustering, classification, association, prediction, estimation, and data representation. Data mining techniques have an immense application in health-related data in an IoT-integrated environment. Ramsden (2015) describe that analysis of DNA sequencing ...
B. Adeyemo, "Application of Data Mining Techniques in Weather Prediction and Climate Change Studies," I.J. Information Engineering and Electronic Business, pp. 51-59, 2012.Folorunsho Olaiya., Adesesan Barnabas Adeyemo., "Application of Data Mining Techniques in Weather Prediction and Climate ...
It performs all kinds of data mining techniques like association, characterization, classification, regression, prediction, clustering, etc. Pattern Evaluation in Data Mining The modules' evaluation techniques are responsible for finding interesting patterns in the data, which could make data comparatively ...