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Proceedings of the Fourth Workshop on Data analytics in the Cloud (DanaC'15)
| Content Provider | ACM Digital Library |
|---|---|
| Editor | Katsifodimos, Asterios |
| Copyright Year | 2015 |
| Abstract | Data nowadays comes from various sources including log files, transactional applications, the Web, social media, scientific experiments, and many others. In recent years, various analyses of these data have proven useful to aid companies in engaging and serving their users and defining their corporate strategy, help political candidates win elections, and transform the process of scientific discovery. However, these successes are just the tip of the iceberg: Every day, new, more complex analysis techniques are devised and larger, more varied datasets are accumulated. Tackling the complexity of both the data itself and its analysis remains an open challenge. |
| ISBN | 9781450337243 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2015-05-31 |
| Access Restriction | Subscribed |
| Content Type | Text |
| Resource Type | Conference Proceedings |
