Citations

Existing Citations

  • data mining (p. 10): Text and data mining involves the deployment of a set of continuously evolving research techniques which have become available as a result of widely distributed access to massive, networked computing power and exponentially increasing digital data sets, enabling almost anyone who has the right level of skills and access to assemble vast quantities of data, whether as text, numbers, images or in any other form, and to explore that data in search of new insights and knowledge. [Note: This definition accords broadly with the one proposed by the Publishing Research Consortium (2013): ‘Data mining is an analytical process that looks for trends and patterns in data sets that reveal new insights. These new insights are implicit, previously unknown and potentially useful pieces of information. The data, whether it is made up of words or numbers or both, is stored in relational databases. It may be helpful to think of this process as database mining or as some refer to it ‘knowledge discovery in databases. Data mining is well established in fields such as astronomy and genetics.’] (†825)
  • data mining (p. 13): There is a bundle of controversial issues arising from concerns about data privacy and protection, currently leading to new policy initiatives in Europe, which may cause further divergence between the European and American landscape for text and data mining. This follows high level tensions over access to mobile phone calls and other data by American intelligence agencies. One likely impact is that data held in North America, including data of European origin, will attract less rigorous levels of protection compared with data held in Europe. (†828)
  • text mining (p. 10): Text and data mining involves the deployment of a set of continuously evolving research techniques which have become available as a result of widely distributed access to massive, networked computing power and exponentially increasing digital data sets, enabling almost anyone who has the right level of skills and access to assemble vast quantities of data, whether as text, numbers, images or in any other form, and to explore that data in search of new insights and knowledge. [Note: This definition accords broadly with the one proposed by the Publishing Research Consortium (2013): ‘Data mining is an analytical process that looks for trends and patterns in data sets that reveal new insights. These new insights are implicit, previously unknown and potentially useful pieces of information. The data, whether it is made up of words or numbers or both, is stored in relational databases. It may be helpful to think of this process as database mining or as some refer to it ‘knowledge discovery in databases. Data mining is well established in fields such as astronomy and genetics.’] (†826)