Clustering High-Dimensional Social Media Datasets sutilizing Graph Mining.
Andreas KanavosGerasimos VonitsanosPhivos MylonasPublished in: Big Data (2022)
Keyphrases
- graph mining
- high dimensional
- high dimensional datasets
- social media
- graph data
- pattern mining
- data points
- high dimensional data
- graph databases
- high dimensionality
- clustering algorithm
- frequently occurring
- community discovery
- connected components
- substructure discovery
- real world graphs
- nearest neighbor
- biological networks
- clustering method
- data sets
- frequent subgraphs
- spectral clustering
- similarity search
- multi dimensional
- machine learning
- k means
- link prediction
- pattern discovery
- frequent subgraph mining
- graph theoretic
- low dimensional
- cluster analysis
- image segmentation
- supervised learning
- feature space
- unsupervised learning
- web mining