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Some Issues of Privacy in a World of Big Data and Data Mining
| Content Provider | Scilit |
|---|---|
| Copyright Year | 2016 |
| Description | This chapter examines privacy issues in the context of big data and potential data mining of that data. Issues are analyzed based on five emerging unique characterizations associated with big data: the five Vs, the Big Data Lake, “thing” data, the quantified self, repurposed data, and the generation of knowledge from unstructured communication data, e.g., Twitter Tweets. Each of those sets of emerging issues is analyzed in detail for their potential impact on privacy. Book Name: Big Data |
| Related Links | https://api.taylorfrancis.com/content/chapters/edit/download?identifierName=doi&identifierValue=10.1201/b19694-17&type=chapterpdf |
| Ending Page | 318 |
| Page Count | 14 |
| Starting Page | 305 |
| DOI | 10.1201/b19694-17 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2016-04-27 |
| Access Restriction | Open |
| Subject Keyword | Book Name: Big Data Building and Construction Privacy Twitter Unstructured Quantified Tweets Repurposed Big Data |
| Content Type | Text |
| Resource Type | Chapter |