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growing hierarchical self-organizing map (48) 48
algorithms (39) 39
neural networks (32) 32
computer science, artificial intelligence (30) 30
data mining (28) 28
clustering (23) 23
analysis (21) 21
artificial intelligence (20) 20
classification (20) 20
self-organizing map (16) 16
computer science (15) 15
network (15) 15
growing neural-network (13) 13
hierarchical clustering (13) 13
studies (13) 13
maps (12) 12
cluster analysis (11) 11
growing neural gas (11) 11
humans (11) 11
index medicus (11) 11
self-organizing maps (11) 11
patterns (10) 10
computer science, interdisciplinary applications (9) 9
growing hierarchical self-organizing maps (9) 9
intrusion detection (9) 9
machine learning (9) 9
unsupervised learning (9) 9
engineering, electrical & electronic (8) 8
gene expression (8) 8
neurons (8) 8
training (8) 8
vectors (8) 8
artificial neural networks (7) 7
clustering algorithms (7) 7
computer science, theory & methods (7) 7
feature extraction (7) 7
model (7) 7
networks (7) 7
neurosciences (7) 7
som (7) 7
usage (7) 7
clusters (6) 6
engineering (6) 6
fraudulent financial reporting (6) 6
gene-expression (6) 6
growing cell structures (6) 6
mathematical models (6) 6
methods (6) 6
pattern recognition (6) 6
prediction (6) 6
unsupervised neural network (6) 6
animals (5) 5
biotechnology & applied microbiology (5) 5
computer science, information systems (5) 5
databases (5) 5
granularity (5) 5
growing hierarchical som (5) 5
growing network (5) 5
growing self organising maps (5) 5
information retrieval (5) 5
muster (5) 5
operations research & management science (5) 5
optimization (5) 5
quantization (5) 5
research (5) 5
segmentation (5) 5
selbstorganisierende merkmalkarte (5) 5
text mining (5) 5
algorithm (4) 4
biochemical research methods (4) 4
biology (4) 4
cluster-bildung (4) 4
computational intelligence (4) 4
data mining and knowledge discovery (4) 4
data processing (4) 4
dna microarrays (4) 4
environmental sciences (4) 4
extended growing hierarchical self-organizing maps (4) 4
framework (4) 4
gene-expression data (4) 4
genes (4) 4
genetic algorithm (4) 4
genetic algorithms (4) 4
genetics (4) 4
ghsom (4) 4
ids (4) 4
image processing and computer vision (4) 4
image segmentation (4) 4
information technology (4) 4
knowledge extraction (4) 4
knowledge map (4) 4
mathematical analysis (4) 4
mechanical engineering (4) 4
models (4) 4
multimodal (4) 4
neural network (4) 4
neural-network (4) 4
neural-networks (4) 4
oligonucleotide array sequence analysis - methods (4) 4
region growing (4) 4
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Knowledge-Based Systems, ISSN 0950-7051, 11/2014, Volume 71, pp. 322 - 338
Journal Article
Applied Soft Computing Journal, ISSN 1568-4946, 09/2014, Volume 22, pp. 528 - 543
Journal Article
Environmental Monitoring and Assessment, ISSN 0167-6369, 4/2018, Volume 190, Issue 4, pp. 1 - 15
Journal Article
Journal of Parallel and Distributed Computing, ISSN 0743-7315, 12/2012, Volume 72, Issue 12, pp. 1576 - 1590
The growing hierarchical self organizing map (GHSOM) has been shown to be an effective technique to facilitate anomaly detection. However, existing approaches... 
Detection accuracy | False positive rate | Growing hierarchical self organizing map | Online adaptation | Network anomaly detection | INTRUSION DETECTION | COMPUTER SCIENCE, THEORY & METHODS
Journal Article
International Journal of Software Engineering and Knowledge Engineering, ISSN 0218-1940, 03/2016, Volume 26, Issue 2, pp. 217 - 237
Journal Article
Ocean Dynamics, ISSN 1616-7341, 8/2012, Volume 62, Issue 8, pp. 1187 - 1194
Journal Article
天津大学学报:英文版, ISSN 1006-4982, 2016, Volume 22, Issue 4, pp. 334 - 338
Considering that growing hierarchical self-organizing map (GHSOM) ignores the influence of individ- ual component in sample vector analysis, and its accurate... 
Engineering | network security | hierarchical structure | intrusion detection | Mechanical Engineering | mutual information | growing hierarchical self-organizing map(GHSOM) | Science, general | Security software | Analysis | Methods
Journal Article
Pattern Recognition, ISSN 0031-3203, 2005, Volume 38, Issue 5, pp. 707 - 722
Journal Article
Neural Networks, ISSN 0893-6080, 05/2013, Volume 41, pp. 85 - 95
This paper presents a new unsupervised learning method based on growing processes and autonomous self-assembly rules. This method, called Growing... 
Growing network | Self-organizing model | Hierarchical tree | Clustering | Data visualization | NEUROSCIENCES | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Models, Theoretical | Algorithms | Decision Trees | Artificial Intelligence | Cluster Analysis | Neural Networks (Computer)
Journal Article
Lecture Notes in Computer Science, ISSN 0302-9743, 2005, Volume 3512, pp. 341 - 348
The Growing Hierarchical Self Organizing Map (GHSOM) was introduced as a dynamical neural network model that adapts its architecture during its unsupervised... 
Data Mining | Growing Hierarchical Self Organizing Maps | Artificial Neural Networks | Robust Learning Algorithm | artificial neural networks | robust learning algorithm | COMPUTER SCIENCE, THEORY & METHODS | data mining
Conference Proceeding
Journal of Proteome Research, ISSN 1535-3893, 10/2002, Volume 1, Issue 5, pp. 467 - 470
Journal Article
Information Technology Journal, ISSN 1812-5638, 2013, Volume 12, Issue 2, pp. 375 - 379
In the algorithm of Kohonen's Self-Organizing Maps (SOM) at the beginning of cluster, the number of input vectors in training set has to be settled down, which... 
Neutron | Enhanced dynamic self organizing maps under-utilize | Growing hierarchical self-organizing map | Intrusion | Networks | Algorithms | Maps | Dynamics | Clusters | Boundaries | Flexibility
Journal Article
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743, 2011, Volume 6922, Issue 1, pp. 52 - 61
Conference Proceeding
International Journal of Digital Content Technology and its Applications, ISSN 1975-9339, 05/2011, Volume 5, Issue 5, pp. 226 - 237
Journal Article
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743, 2010, Volume 5933, pp. 184 - 190
Conference Proceeding
Malaysian Journal of Library and Information Science, ISSN 1394-6234, 2010, Volume 15, Issue 3, pp. 1 - 17
The purpose of this study was to investigate the characteristics of research related to evolution of altruism from 1971 to 2009 within the science citation... 
Scientometrics | Growing hierarchical self-organizing map | Altruism | Bibliometrics | Informetrics | Growing Hierarchical Self-Organizing Map | LOTKA LAW | Informetrics: Bibliometrics | NEURAL-NETWORK RESEARCH | BASES | INFORMATION SCIENCE & LIBRARY SCIENCE | GHSOM | SCIENCE
Journal Article
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