Finding It Now: Construction and Configuration of Networked Classifiers in Real-Time Stream Mining Systems

2013 ◽  
pp. 97-134 ◽  
Author(s):  
Raphaël Ducasse ◽  
Mihaela van der Schaar
Keyword(s):  
Real Time ◽  
Stream Mining

Knowledge Discovery From Evolving Data Streams

2019 ◽  
pp. 19-39
Author(s):  
Prasanna Lakshmi Kompalli
Keyword(s):  
Real Time ◽  
Data Streams ◽  
Data Stream ◽  
Concept Drift ◽  
Data Stream Mining ◽  
Time Data ◽  
Stream Mining ◽  
New Challenges ◽  
Mining Data Streams ◽  
Different Sources

Data coming from different sources is referred to as data streams. Data stream mining is an online learning technique where each data point must be processed as the data arrives and discarded as the processing is completed. Progress of technologies has resulted in the monitoring these data streams in real time. Data streams has created many new challenges to the researchers in real time. The main features of this type of data are they are fast flowing, large amounts of data which are continuous and growing in nature, and characteristics of data might change in course of time which is termed as concept drift. This chapter addresses the problems in mining data streams with concept drift. Due to which, isolating the correct literature would be a grueling task for researchers and practitioners. This chapter tries to provide a solution as it would be an amalgamation of all techniques used for data stream mining with concept drift.

Real-time Decision Rules for Diabetes Therapy Management by Data Stream Mining

2017 ◽  
pp. 1-1 ◽  
Author(s):  
Simon Fong ◽  
Jinan Fiaidhi ◽  
Sabah Mohammed ◽  
Luiz Moutinho
Keyword(s):  
Real Time ◽  
Data Stream ◽  
Decision Rules ◽  
Data Stream Mining ◽  
Stream Mining ◽  
Diabetes Therapy ◽  
Therapy Management

scholarly journals Finding It Now: Networked Classifiers in Real-Time Stream Mining Systems

2018 ◽  
pp. 87-131
Author(s):  
Raphael Ducasse ◽  
Cem Tekin ◽  
Mihaela van der Schaar
Keyword(s):  
Real Time ◽  
Stream Mining

Real-Time Analysis of Vital Signs Using Incremental Data Stream Mining Techniques with a Case Study of ARDS Under ICU Treatment

2015 ◽  
Vol 5 (5) ◽  
pp. 1108-1115 ◽  
Author(s):  
Simon Fong ◽  
Shirley W. I. Siu ◽  
Suzy Zhou ◽  
Jonathan H. Chan ◽  
Sabah Mohammed ◽  
...  
Keyword(s):  
Real Time ◽  
Data Stream ◽  
Vital Signs ◽  
Data Stream Mining ◽  
Time Analysis ◽  
Stream Mining ◽  
Real Time Analysis ◽  
Icu Treatment
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