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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
pattern classification
biblio
An Energy-Efficient Stochastic Computational Deep Belief Network
Submitted by grigby1 on Wed, 03/06/2019 - 4:29pm
random number generation
high energy consumption
Human behavior
learning (artificial intelligence)
Metrics
neural nets
Neurons
nonlinearly separable patterns
pattern classification
policy-based governance
pubcrawl
Hardware
random number generators
rectifier linear unit
resilience
Resiliency
RNGs
SC-DBN design
Scalability
Stochastic computing
Stochastic processes
DNNs
belief networks
Biological neural networks
Cognitive Computing
collaboration
composability
computation speed
Correlation
Deep Belief Network
deep neural networks
approximate SC activation unit
effective machine learning models
Electronic mail
energy consumption
energy-efficient deep belief network
energy-efficient stochastic computational deep belief network
fixed point arithmetic
fixed-point implementation
floating point arithmetic
floating-point design
biblio
Malicious HTML File Prediction: A Detection and Classification Perspective with Noisy Data
Submitted by grigby1 on Wed, 03/06/2019 - 4:25pm
learning (artificial intelligence)
synthetic minority oversampling technique
SMOTE
Resiliency
resilience
pure detection model
pubcrawl
protection systems
pattern classification
noisy data
networked systems
malicious HTML file prediction
malicious HTML file classification
machine learning
Autonomic Security
Intrusion Detection
Hypertext systems
hypermedia markup languages
feature selection technique
feature extraction
Decision trees
data quality
cybersecurity challenges
computer security
computer network security
composability
class imbalance
Browsers
biblio
Improving response accuracy for classification- based conversational IT services
Submitted by aekwall on Mon, 03/04/2019 - 10:48am
process-based methodology
Automated Response Actions
user-question classifiers
training set scenarios
subject matter experts
software support
service support scenario
service resolution quality
service providers
service domain knowledge
Cloud Computing
IT services
conversation quality
cloud-based solutions
customer satisfaction
pattern classification
composability
pubcrawl
Resiliency
learning (artificial intelligence)
biblio
Classification for Authorship of Tweets by Comparing Logistic Regression and Naive Bayes Classifiers
Submitted by aekwall on Mon, 03/04/2019 - 10:46am
regression analysis
machine learning techniques
Metrics
mobile phone
Naive Bayes
naïve Bayes classifier
pattern classification
pre-processed data
privacy
pubcrawl
Python
machine learning model
security
social computing
social media
social networking (online)
text analysis
text classification
Training
tweets authorship
Twitter
Twitter account
fake news
attribution
authorisation
authorship attribution
authorship attribution techniques
Bayes methods
classification
composability
digital identities
dubious sources
Electronic mail
anonymity
feature extraction
feature vector
Human behavior
human-in-the-loop security center paradigm
learning (artificial intelligence)
logistic regression
logistic regression based classifier
Logistics
machine learning
biblio
A Comparative Study of Spam SMS Detection Using Machine Learning Classifiers
Submitted by aekwall on Mon, 02/25/2019 - 11:42am
Filtering
text messages
stylistic features
spam SMS detection
Spam SMS
smart phones
short message service
phones
machine learning classifiers
information filtering
filtering spam emails
detection
deep learning methods
content-based machine learning techniques
content based advertisement
CAP curve
Scalability
machine learning
spam messages
electronic messaging
Unsolicited electronic mail
spam detection
unsolicited e-mail
pattern classification
Neural networks
Metrics
pubcrawl
Human behavior
learning (artificial intelligence)
Classification algorithms
Bayes methods
biblio
Detection of Spam E-mails with Machine Learning Methods
Submitted by aekwall on Mon, 02/25/2019 - 11:42am
naïve Bayes classifier
vector space model
Unsolicited electronic mail
unsolicited e-mail
spam filtering
spam e-mails
spam detection
security of data
Scalability
pubcrawl
Postal services
pattern classification
offensive content
Analytical models
Metrics
machine learning methods
machine learning
learning (artificial intelligence)
internet
Human behavior
Filtering
e-mail filtering
e-mail communication
content information
Bayes methods
biblio
Oases: An Online Scalable Spam Detection System for Social Networks
Submitted by aekwall on Mon, 02/25/2019 - 11:42am
social communities
DHT based overlay
Distributed databases
load-balancing
malware disseminators
Oases
online scalable spam detection system
progressive aggregation tree
resource allocation
decentralized DHT-based tree overlay deployment
social spam
spam classifiers
spammers
trees (mathematics)
Twitter data
Vegetation
Web-based social networks
Metrics
invasive software
Human behavior
pubcrawl
Routing
Peer-to-peer computing
online social networks
social networking (online)
Twitter
Scalability
pattern classification
internet
unsolicited e-mail
spam detection
Training
community-based opportunities
content polluters
biblio
Enhancing the Naive Bayes Spam Filter Through Intelligent Text Modification Detection
Submitted by aekwall on Mon, 02/25/2019 - 11:42am
spam filter
pubcrawl
Python algorithm
Scalability
social networks
spam
spam classification
spam detection
spam emails
pattern classification
spam score
Spamassassin
testing
text analysis
text classification
text modifications
unsolicited e-mail
Unsolicited electronic mail
intelligent text modification detection
Bayes Spam Filter
Bayesian Poisoning
computer security
e-mail filters
Email
email communication
feature extraction
Human behavior
Bayes methods
Internet based information exchange venues
learning (artificial intelligence)
machine learning
machine learning algorithm
machine learning algorithms
Metrics
naïve Bayes classifier
Naive Bayes Spam Filter
biblio
.Net library for SMS spam detection using machine learning: A cross platform solution
Submitted by aekwall on Mon, 02/25/2019 - 11:40am
short message service
Net library
online detection
pattern classification
pubcrawl
random forest algorithm
random processes
Scalability
security of data
Metrics
SMS
SMS spam detection
spam dataset classification
spam detection
spam filter
spam messages
tools
unsolicited e-mail
detection
classification
Classification algorithms
clustering
Clustering algorithms
cross platform .Net development
C\#
C\# languages
C\# library
Algorithms
electronic messaging
email spam detection
filtering algorithms
Human behavior
learning (artificial intelligence)
Libraries
machine learning
machine learning algorithms
biblio
An Improved Spam Detection Method with Weighted Support Vector Machine
Submitted by aekwall on Mon, 02/25/2019 - 11:40am
KFCM
WSVM
weighted SVM
weighted support vector machine
weight variables
Unsolicited electronic mail
Training
SVM
spam filtering
spam detection method
spam detection
Prediction algorithms
KPCM
KFCM algorithm
Scalability
email users
unsolicited e-mail
internet
pattern classification
Metrics
pubcrawl
Human behavior
learning (artificial intelligence)
feature extraction
Support vector machines
machine learning algorithms
Kernel
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