Paper Review On Data Mining, components, And Big Data
- 1 June 2020
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 1-4
Abstract
Recent progress in software and hardware has allowed different data measurements in a variety of fields to be captured. These measures are produced continuously at very fluctuating data rates. For example, network sensors, web logs and computer network traffic. Computer-intensive activities are the collection, query and removal of these data sets. Mining data sources include the recovery of knowledge systems incorporated into templates and trends on streams of non-stop information. Because of the importance of its applications and the increasing generation of data stream research, information. Information. Information. Analysis applications for data streams can range from critical scientific and astronomical applications to major business and financial applications. Algorithms, processes and structures Streaming challenges have been developed over the last three years. We present the newest in this increasingly important field in this review paper.Keywords
This publication has 9 references indexed in Scilit:
- Control, use and ownership of big data: A reciprocal view of customer big data value in the hospitality and tourism industryTourism Management, 2020
- When Gaussian Process Meets Big Data: A Review of Scalable GPsIEEE Transactions on Neural Networks and Learning Systems, 2020
- Big data stream analysis: a systematic literature reviewJournal of Big Data, 2019
- Will Democracy Survive Big Data and Artificial Intelligence?2018
- Data Mining2017
- Data Mining with R2016
- Dimensionality Reduction for Intrusion Detection Systems in Multi-data Streams—A Review and Proposal of Unsupervised Feature Selection Scheme2016
- Discussion and review on evolving data streams and concept drift adaptingEvolving Systems, 2016
- RapidMiner2016