Fast Data Mining with Sparse Chemical Graph Fingerprints by Estimating the Probability of Unique Patterns.
Georg HinselmannLars RosenbaumAndreas JahnAndreas ZellPublished in: ESANN (2011)
Keyphrases
- data mining
- data mining techniques
- pattern mining
- chemical compounds
- previously unknown
- data mining approaches
- pattern discovery
- association rules
- high dimensional
- graph mining
- graph structure
- graph patterns
- dynamic graph
- discovering patterns
- frequent patterns
- rough sets
- data mining algorithms
- graph representation
- interesting patterns
- graph data
- text mining
- graph theory
- knowledge discovery
- machine learning
- association rule mining
- data mining methods
- directed graph
- graph structures
- sparse data
- graph model
- social network analysis
- structured data
- probability distribution
- directed acyclic
- structural patterns
- real world
- discovering interesting
- gaussian graphical models
- condensed representations
- adjacency matrix
- weighted graph
- data mining applications
- connected components
- sparse representation
- random walk
- data streams
- bayesian networks