DLBooster: Boosting End-to-End Deep Learning Workflows with Offloading Data Preprocessing Pipelines.
Yang ChengDan LiZhiyuan GuoBinyao JiangJiaxin LinXi FanJinkun GengXinyi YuWei BaiLei QuRan ShuPeng ChengYongqiang XiongJianping WuPublished in: ICPP (2019)
Keyphrases
- end to end
- data preprocessing
- deep learning
- unsupervised feature learning
- feature selection
- preprocessing
- unsupervised learning
- preprocessing step
- data mining
- machine learning
- data processing
- data cleaning
- web usage mining
- business processes
- web services
- learning algorithm
- mental models
- weakly supervised
- text classification
- pattern recognition
- data integration
- data model
- feature ranking
- training set
- information retrieval
- decision trees