The main goal of data mining is to find patterns and to convert it into an understandable suitable structure for further use. Data mining techniques are used to work with large datasets to discover hidden patterns and relationships that are helpful in decision making which are very essential in ...
To make huge amounts of data that is produced by health care information systems useful and important to the potential, we apply knowledge discovery. This study considers urine analysis test results as an input data to different data mining techniques in order to discover the hidden and meaningful...
Afterwards, four different data mining-based techniques including artificial neural networks, support vector machines, decision trees and Bayesian Networks were used to classify jujubes. Results of validation stage showed that artificial neural network with 13-7-4 topology had the highest classification ...
Data Mining is the process of uncovering patterns in large data sets. This includes using machine learning, statistics, and database systems to quickly analyze a huge amount of information in a quick manner.Answer and Explanation: Different techniques include...
Decision intelligence relies on data analysis techniques to uncover patterns, trends, and relationships within the data. Statistical methods, machine learning algorithms, and data mining techniques are employed to extract meaningful insights from the collected data. ...
2023 Little Lion Scientific.The data mining techniques have been applied to various fields. Frequent pattern mining is one of the active research themes in... A Ibrahim,M Shkoukani - 《Journal of Theoretical & Applied Information Technology》 被引量: 0发表: 2023年 Deep learning in big data ...
Participating researchers were asked “What symptom(s) would you advise the treating clinician to target subsequent treatment on, based on a person-centered (-specific) analysis of this particular patient’s ESM data?” Analysts differed in their data preprocessing steps, statistical techniques, and ...
There are many different types of data processing jobs, including those of data entry keying, typing, transcribing, preparing...
Investigation of general indicators influencing on forest fire and its susceptibility modeling using different data mining techniques Forests are living dynamic systems and these unique ecosystems are essential for life on earth. Forest fires are one of the major environmental concerns, e... ZS Pourtag...
algorithm data stream mining data stream learning classification algorithms data stream classifier AUE2 accuracy-based weighting mechanisms block-based ensembles Hoeffding trees single classifiers online ensembles/ C6130 Data handling techniques C6170K Knowledge engineering techniques C1160 Combinatorial ...