Hypothesis generation and interpretation : design principles and patterns for big data applications / Hiroshi Ishikawa.
This book focuses in detail on data science and data analysis and emphasizes the importance of data engineering and data management in the design of big data applications. The author uses patterns discovered in a collection of big data applications to provide design principles for hypothesis generat...
Saved in:
| Online Access: |
Full Text (via Springer) |
|---|---|
| Main Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
Cham :
Springer,
2024.
|
| Series: | Studies in big data ;
v. 139. |
| Subjects: |
Internet
Full Text (via Springer)Online
| Call Number: |
QA76.9.B45
|
|---|---|
| QA76.9.B45 | Available |