Big Data

biblio

Fast Scalable Approximate Nearest Neighbor Search for High-dimensional Data

Submitted by aekwall on Mon, 02/22/2021 - 12:45pm

machine learning algorithms
learning (artificial intelligence)
machine learning
pubcrawl
graph theory
Big Data
query processing
trees (mathematics)
Data mining
Measurement
application program interfaces
Predictive Metrics
Partitioning algorithms
approximation theory
Approximation algorithms
message passing
search problems
nearest neighbor search
Load management
high-dimensional data
graph-based sequential approximate k-NN search algorithm
hierarchical navigable small world
HNSW
k-d tree-based solution
k-nearest neighbor search
K-NN search
load balancing
MPI one-sided communication
MPI-OpenMP solution
Nearest neighbor methods
parallel algorithms
similarity search
Vantage Point Tree
vantage point trees

biblio

Reduced-Complexity Singular Value Decomposition For Tucker Decomposition: Algorithm And Hardware

Submitted by aekwall on Mon, 02/15/2021 - 3:45pm

Big Data
machine learning
pubcrawl
Iterative methods
Metrics
data analysis
cyber physical systems
CMOS integrated circuits
CMOS technology
Compositionality
hardware architecture
Data-Intensive Applications
singular value decomposition
SVD
big data analysis
high-dimensional data processing
iterative self-multiplication
power 37.6 mW
reduced-complexity SVD scheme
resource-constrained hardware platforms
size 28.0 nm
tensor algorithms
tensors
Tucker decomposition
decomposition

biblio

An Approach to Embedding a Style Transfer Model into a Mobile APP

Submitted by aekwall on Mon, 02/01/2021 - 10:44am

Scalability
Big Data
Internet of Things
mobile computing
learning (artificial intelligence)
Resiliency
pubcrawl
machine learning
testing
convolutional neural nets
mobile phone
software libraries
feedforward neural nets
Predictive Metrics
image restoration
feedforward neural network
Feedforward neural networks
Economic indicators
mobile users
deep learning models
neural style transfer
Mobile app
embedding CNN models
Perceptual Losses algorithm
photo processing apps
pre-trained convolutional neural network model
proceeding time
shorten waiting time
Style transfer model
TensorFlow Mobile library
time 2.0 s
time 2.8 s
traditional style transfer model

biblio

Differential Privacy Information Publishing Algorithm based on Cluster Anonymity

Submitted by grigby1 on Thu, 01/28/2021 - 1:01pm

anonymity
anonymous
Artificial Intelligence
background attack
Big Data
cluster anonymity
clustering
Clustering algorithms
clustering anonymity
complex background knowledge
Complexity theory
composability
data privacy
differential privacy
differential privacy information publishing algorithm
Human behavior
information loss
internet
Internet of Things
internet technology
Metrics
pattern clustering
privacy budget
pubcrawl
Publishing
resilience
Resiliency
Running efficiency

biblio

Intelligent SDN Traffic Classification Using Deep Learning: Deep-SDN

Submitted by aekwall on Mon, 01/11/2021 - 12:36pm

Inspection
Scalability
telecommunication traffic
Protocols
computer architecture
computer network management
software defined networking
feature extraction
learning (artificial intelligence)
machine learning
Resiliency
pubcrawl
deep learning
pattern classification
Big Data
internet
Training
software-defined networking
network traffic
SDN
network management
Software-Defined Networks
network architecture
Internet traffic
data plane
control plane
exponential growth
high computational cost
deep learning model
deep packet inspection
accurate traffic classification
centralised network controller
deep packet inspection approaches
deep-SDN
fine-grained network management
intelligent SDN traffic classification
network activities
port-based approaches
resource utilisation
Traffic analysis
traffic applications
Traffic classification

biblio

A Study of Big Data Security on a Partitional Clustering Algorithm with Perturbation Technique

Submitted by grigby1 on Mon, 12/28/2020 - 11:40am

Accuracy
Big Data
big data privacy
big data security
Clustering algorithms
Clustering Tme
Conferences
data privacy
Distributed databases
execution time
F-Socre Measure
Hadoop distributed file system
HDFS
Human behavior
Metrics
parallel processing
partitional clustering algorithm
Partitioning algorithms
pattern clustering
PCA
Perturbation methods
perturbation technique
Precision
principal component analysis
privacy preserving
pubcrawl
resilience
Resiliency
Scalability
security
security of data

biblio

Big Data Security and Privacy: Current Challenges and Future Research perspective in Cloud Environment

Submitted by grigby1 on Mon, 12/28/2020 - 11:40am

Big Data
big data privacy
Big data privacy top
big data security
Cloud Computing
cloud environment
cloud server
data privacy
Data Security
data security challenges
data storage
data structures
Human behavior
internet
Metrics
Organizations
pubcrawl
resilience
Resiliency
Scalability
security of data
security threats
semistructured data
sensitive data storage
Servers
storage management
Structured Data
Unstructured Data

biblio

De-identification and Privacy Issues on Bigdata Transformation

Submitted by grigby1 on Mon, 12/28/2020 - 11:39am

Big Data
big data privacy
Big Data transformation
controllable privacy level
data analysis
Data models
data privacy
de-identification processes
diseases
government sectors
Guidelines
Human behavior
ICT industry
Industries
k-anonymity
l-Diversity
Metrics
personal information
privacy
privacy attacks
pubcrawl
resilience
Resiliency
Scalability
t-closeness

biblio

Big Data Encryption Technology Based on ASCII And Application On Credit Supervision

Submitted by grigby1 on Mon, 12/28/2020 - 11:39am

Artificial Intelligence
ASCII
Big Data
Big Data encryption technology
big data privacy
BIGDATA
Conferences
credit construction
Credit Supervision
credit supervision application
Cross-Platform
Cryptography
data desensitization technology
Data Governance
data leakage
data privacy
data utilization
Desensitization
electronic data interchange
Electronic mail
financial data processing
Human behavior
Internet of Things
Licenses
market supervision business
Metrics
pubcrawl
resilience
Resiliency
Scalability
user payment information
user privacy

biblio

Experimenting and Assessing a Distributed Privacy-Preserving OLAP over Big Data Framework: Principles, Practice, and Experiences

Submitted by grigby1 on Mon, 12/28/2020 - 11:38am

tools
security of data
data analysis
Data mining
pubcrawl
Human behavior
Metrics
resilience
Resiliency
data privacy
Scalability
privacy
Big Data
Measurement
privacy preservation
Social network services
smart cities
Distributed databases
social networks
big data privacy
bioinformatics
authoritative analytical tool
big data framework
Distributed Privacy-Preserving OLAP
distributed privacy-preserving OLAP framework
Emerging Big Data Applications
Experiments and Analysis over Big Datasets
OLAP aggregate privacy
OLAP analysis
OLAP data cubes
OLAP-based Big Data Analytics
privacy-preserving OLAP-based big data analytics

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Cyber-Physical Systems Virtual Organization

Fostering collaboration among CPS professionals in academia, government, and industry

Big Data

Fast Scalable Approximate Nearest Neighbor Search for High-dimensional Data

Reduced-Complexity Singular Value Decomposition For Tucker Decomposition: Algorithm And Hardware

An Approach to Embedding a Style Transfer Model into a Mobile APP

Differential Privacy Information Publishing Algorithm based on Cluster Anonymity

Intelligent SDN Traffic Classification Using Deep Learning: Deep-SDN

A Study of Big Data Security on a Partitional Clustering Algorithm with Perturbation Technique

Big Data Security and Privacy: Current Challenges and Future Research perspective in Cloud Environment

De-identification and Privacy Issues on Bigdata Transformation

Big Data Encryption Technology Based on ASCII And Application On Credit Supervision

Experimenting and Assessing a Distributed Privacy-Preserving OLAP over Big Data Framework: Principles, Practice, and Experiences