Scalable Machine Learning on High-Dimensional Vectors: From Data Series to Deep Network Embeddings.
Karima EchihabiKostas ZoumpatianosThemis PalpanasPublished in: WIMS (2020)
Keyphrases
- machine learning
- high dimensional data
- noisy data
- data analysis
- high dimensional
- data sets
- original data
- data processing
- massive scale
- raw data
- training data
- image data
- nearest neighbor
- knowledge discovery
- data points
- vector space
- text mining
- data mining techniques
- sparse data
- data transfer
- data quality
- data structure
- data mining
- discrete data
- network resources
- similarity measure
- high dimensionality
- statistical methods
- network structure
- spatial data
- data sources
- data collection
- input data