Big Data, Classification, Clustering and Generate Rules: An inevitably intertwined for Prediction
Year : 2021-07-26
Faculty : Information Technology
Author : عايش منور هويشل الحروب /
Abstarct :
Big Data filed is an unsettled standard comparing with a traditional database, data mining, or data warehouse. Stability measure aims to acquire the quality dataset which encourages to use of preprocessing data method to handle instability that miniaturization missing data. Therefore, to increase the data quality in order to achieve an accurate prediction, significant rules are used to provide value and meaningful data. Through, three measures by support, confidence, and the lift to acquire frequently rules. These rules are used to conduct the objective extracting pattern, to estimate each browsing customer's likelihood of making a purchase, and to choose meaningful patterns from the discovered association rules.
Year : 2021-07-26
Faculty : Information Technology
Author : عايش منور هويشل الحروب /
Abstarct :
Big Data filed is an unsettled standard comparing with a traditional database, data mining, or data warehouse. Stability measure aims to acquire the quality dataset which encourages to use of preprocessing data method to handle instability that miniaturization missing data. Therefore, to increase the data quality in order to achieve an accurate prediction, significant rules are used to provide value and meaningful data. Through, three measures by support, confidence, and the lift to acquire frequently rules. These rules are used to conduct the objective extracting pattern, to estimate each browsing customer's likelihood of making a purchase, and to choose meaningful patterns from the discovered association rules.