Name
Title | ||
|---|---|---|
Lean Data Science Research Life Cycle: A Concept for Data Analysis Software Development |
Abstract | ||
|---|---|---|
Data Science is a new study that combines computer science, data mining, data engineering and software development. Based on the concept of lean software development we propose an idea of lean data science research as a technology for data analysis software development. This concept includes the mandatory stages of the life cycle that meet the lean manufacturing principles. We have defined the business understanding stage with defining the targeted questions, the set of lean data analysis sprints and a decision support stage. Each lean data analysis sprint contents of the task statement step, a step of data integration, a step of data analysis and the interpretation of the results. This approach allows to build data analysis software with iterative improvement quality of the results. Some case study have been suggested as examples of the proposed concept. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1007/978-3-319-11854-3_61 | Communications in Computer and Information Science |
Keywords | Field | DocType |
data science,software development,data analysis | Data science,Data integration,Data mining,Systems engineering,Computer science,Lean software development,Lean manufacturing,Information engineering,Software development,Software engineering,Decision support system,Lean project management,Sprint | Conference |
Volume | ISSN | Citations |
466 | 1865-0929 | 1 |
PageRank | References | Authors |
0.36 | 3 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Maxim Shcherbakov | 1 | 7 | 5.22 |
| Nataliya Shcherbakova | 2 | 3 | 1.62 |
| Adriaan Brebels | 3 | 4 | 1.89 |
| timur janovsky | 4 | 1 | 0.36 |
| Valery Anatolevich Kamaev | 5 | 4 | 1.90 |