Titlebook: Interactive Knowledge Discovery and Data Mining in Biomedical Informatics; State-of-the-Art and Andreas Holzinger,Igor Jurisica Book 2014 S

裹住

Acetaldehyde

Biomedical Text Mining: State-of-the-Art, Open Problems and Future Challenges,chical Latent Dirichlet Allocation, Principal Component Analysis, and Support Vector Machines, along with some examples from the biomedical domain. Finally, we provide some open problems and future challenges, particularly from the clinical domain, that we expect to stimulate future research.

反復(fù)無(wú)常

Multi-touch Graph-Based Interaction for Knowledge Discovery on Mobile Devices: State-of-the-Art andaph-based approaches for multi-touch interaction on mobile devices and we highlight some open problems to stimulate further research and future developments. This is particularly important in the medical domain, as a conceptual graph analysis may provide novel insights on hidden patterns in data, hence support interactive knowledge discovery.

血統(tǒng)

天真

BRACE

嚴(yán)峻考驗(yàn)

HUSH

aspersion

https://doi.org/10.1007/978-3-662-43968-5big data; biomedical informatics; computing methodologies; data analytics; data mining; feature selection

Soliloquy