Pre-Processing Structured Data for Standard Machine Learning Algorithms by Supervised Graph Propositionalization - A Case Study with Medicinal Chemistry Datasets.
Thashmee KarunaratneHenrik BoströmUlf NorinderPublished in: ICMLA (2010)
Keyphrases
- structured data
- standard machine learning algorithms
- machine learning algorithms
- preprocessing
- free text
- graph data
- relational data
- semi structured
- semi structured data
- information extraction
- structured information
- text data
- graph structures
- relational learning
- data sources
- learning algorithm
- unstructured data
- xml documents
- unstructured text
- structured databases
- pattern extraction
- keyword search
- graph databases
- linked data
- textual data
- natural language processing
- machine learning
- semistructured data
- support vector machine
- data sets
- post processing
- graph kernels
- semi supervised
- knowledge discovery
- search algorithm