DMLR: Data-centric Machine Learning Research - Past, Present and Future.
Luis OalaManil MaskeyLilith Bat-LeahAlicia ParrishNezihe Merve GürelTzu-Sheng KuoYang LiuRotem DrorDanilo BrajovicXiaozhe YaoMax BartoloWilliam Gaviria RojasRyan HilemanRainier AlimentMichael W. MahoneyMeg RisdalMatthew LeaseWojciech SamekDebojyoti DuttaCurtis G. NorthcuttCody ColemanBraden HancockBernard KochGirmaw Abebe TadesseBojan KarlasAhmed AlaaAdji Bousso DiengNatasha F. NoyVijay Janapa ReddiJames ZouPraveen K. ParitoshMihaela van der SchaarKurt D. BollackerLora AroyoCe ZhangJoaquin VanschorenIsabelle GuyonPeter MattsonPublished in: CoRR (2023)
Keyphrases
- data centric
- machine learning
- information management
- business processes
- data management
- challenges facing
- past experience
- data driven
- application development
- real world
- wireless sensor networks
- information extraction
- distributed systems
- pattern recognition
- data storage
- routing protocol
- feature selection
- data representation
- natural language processing
- data mining
- xml schema
- natural language
- artificial intelligence
- knowledge discovery