Open AccessMining Techniques for Streaming Data
Author(s) -
ManaL Mansour,
Manal Abdullah
Publication year - 2022
Publication title -
international journal of data mining and knowledge management process
Language(s) - English
Resource type - Journals
eISSN - 2231-007X
pISSN - 2230-9608
DOI - 10.5121/ijdkp.2022.12201
Subject(s) - streaming data , computer science , data stream mining , volume (thermodynamics) , stream processing , data stream , data mining , data science , distributed computing , telecommunications , physics , quantum mechanics
The huge explosion in using real time technology leads to infinite flow of data which known as data streams. The characteristics of streaming data require different techniques for processing due its volume, velocity and volatility, beside issues related to the limited storage capabilities. Hence, this research highlights the significant aspects to consider when building a framework for mining data streams. It reviews the methods for data stream summarizing and creating synopsis, and the approaches of processing these data synopses. The goal is to present a model for mining the streaming data which describes the main phases of data stream manipulation.