Data Mining for Cyber 𠄁Physical Systems

MV Rao, DA Reddy, A Ampavathi… - Data Mining and …, 2022 - Wiley Online Library
Summary The Cyber‐Physical System (CPS) combines corporeal gadgets (ie sensors)
through digital (ie, illuminating) apparatuses to create an elusive structure that returns wisely …

Pattern detection in cyber-physical systems

G Spezzano, A Vinci - Procedia Computer Science, 2015 - Elsevier
Abstract A Cyber-Physical System (CPS) integrates physical devices (ie, sensors) with cyber
(ie, informational) components to form a context sensitive system that responds intelligently …

A multi-view clustering approach for analysis of streaming data

VM Devagiri, V Boeva, S Abghari - … and Innovations: 17th IFIP WG 12.5 …, 2021 - Springer
Data available today in smart monitoring applications such as smart buildings, machine
health monitoring, smart healthcare, etc., is not centralized and usually supplied by a …

Big Data Analysis and Cyber-Physical Systems

U Sedlar, M Rakar, A Kos - Cyber-Physical Systems, a …, 2015 - api.taylorfrancis.com
Cyber-physical systems (CPSs) represent an important step on the path to truly smart living
environments, efficient automation of industrial processes, and optimization of control in …

Cyber physical systems using sensor technologies

CY Chang, S Zeadally, TS Chen - International Journal of …, 2012 - journals.sagepub.com
Cyber-physical systems (CPSs) have grown exponentially and have been attracting a lot of
attention over the last few years because of cyber and the physical (natural and …

Exploratory Cluster Analysis from Ubiquitous Data Streams using Self-Organizing Maps

BMN da Silva - 2016 - search.proquest.com
This thesis addresses the use of Self-Organizing Maps (SOM) for exploratory cluster
analysis over ubiquitous data streams, where two complementary problems arise: first, to …

Clustering daily patterns of human activities in the city

S Jiang, J Ferreira, MC González - Data Mining and Knowledge Discovery, 2012 - Springer
Data mining and statistical learning techniques are powerful analysis tools yet to be
incorporated in the domain of urban studies and transportation research. In this work, we …

Categorization of crowd-sensing streaming data for contextual characteristic detection

P Kisters, H Schreiber, J Edinger - Journal of Smart Cities and …, 2023 - content.iospress.com
The growing reliance on large wireless sensor networks, potentially consisting of hundreds
of nodes, to monitor real-world phenomena inevitably results in large, complex datasets that …

Fuzzily connected multimodel systems evolving autonomously from data streams

P Angelov - IEEE Transactions on Systems, Man, and …, 2011 - ieeexplore.ieee.org
A general framework and a holistic concept are proposed in this paper that combine
computationally light machine learning from streaming data with the online identification and …

Future Industrial Production Work Designusing Clustering Approach: Transitioning to Cyber Physical Systems

K Gupta, S Rathare, S Sharma, V Dahiya… - … Conference on Data …, 2023 - ieeexplore.ieee.org
The proliferation of Internet of Things (IoT) devices and infrastructure has prompted the
development of several IoT data analytics methods for detecting hostile cyberattacks and …