2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA)
| Author/creator | IEEE Staff |
| Other author | IEEE Xplore (Online service) |
| Format | Electronic |
| Publication Info | Piscataway : IEEE |
| Supplemental Content | Full text available from IEEE Electronic Library (IEL) |
| Supplemental Content | Full text available from IEEE Electronic Library (IEL) Conference Proceedings |
| Subjects |
| Summary | Annotation Data driven scientific discovery is an important emerging paradigm for computing in various areas including Internet of Things, sensor networks, telecommunications, biology, health care and cloud Under this paradigm, Data Science is the core that drives new researches in many areas, from environmental to social There are many associated scientific challenges, ranging from data capture, creation, storage, search, sharing, modeling, analysis, and visualization Among the complex aspects to be addressed we mention here the integration across heterogeneous, interdependent complex data resources for real time decision making, streaming data, collaboration, and ultimately value co creation Data science encompasses the areas of data analytics, machine learning, statistics, optimization and managing big data, and has become essential to glean understanding from large data sets and convert data into actionable intelligence, be it data available to enterprises, Government or on the Web |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| ISBN | 9781467382748 |
| ISBN | 1467382744 (Spiral) Active Record |
| Stock number | 00066573 |