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Fundamentals of Data Science for Future Data Scientists
| Content Provider | Scilit |
|---|---|
| Author | Chen, Jiangping Ayala, Brenda Reyes Alsmadi, Duha Wang, Guonan |
| Copyright Year | 2018 |
| Description | Data has been frequently discussed along with two other concepts: information and knowledge. However, the concept of data seems less ambiguous than that of information or knowledge. Data are considered to be symbols or raw facts that have not yet been processed (Ackoff, 1989; Coronel, Morris, & Rob, 2012, p. 5). In contrast, information has a number of different definitions, such as information as a thing, something informative, a process, or equivalent to knowledge (Buckland, 1991; Losee, 1997; Saracevic, 1999; Madden, 2000). Knowledge also does not have an agreed-upon definition. Davenport and Prusak (1998) viewed knowledge as “a fluid mix of framed experience, values, contextual information, and expert insight that provides a framework for evaluating and incorporating new experiences and information” (Davenport and Prusak, 1998, p. 5). Book Name: Analytics and Knowledge Management |
| Related Links | https://content.taylorfrancis.com/books/download?dac=C2016-0-31839-8&isbn=9781315209555&doi=10.1201/9781315209555-6&format=pdf |
| Ending Page | 194 |
| Page Count | 28 |
| Starting Page | 167 |
| DOI | 10.1201/9781315209555-6 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2018-08-06 |
| Access Restriction | Open |
| Subject Keyword | Book Name: Analytics and Knowledge Management History and Philosophy of Science Data Scientists |
| Content Type | Text |
| Resource Type | Chapter |
