Data mining is a process that uses a variety of data analysis tools to discover patterns and relationships in data that may be used to make valid predictions. To mine the hidden and useful information we have to take the available dataset through the process of data mining. It¿s not a single step. It contains various groups of interlinking steps which will help us to find the useful information for decision making. Data mining searches databases to find hidden patterns and predict information to increase the business in the organization.Data mining is the nontrivial extraction of implicit, previously unknown, interesting and potentially useful information from data . Now a day¿s hospitals and health care institutions are well equipped with monitoring and other data collection devices, where data is collected and shared with other hospital information systems.
| Autorius: | G. Mokesh Rayalu, K. C. Bhanu, Murali Konidina, |
| Leidėjas: | Scholars' Press |
| Išleidimo metai: | 2020 |
| Knygos puslapių skaičius: | 140 |
| ISBN-10: | 6138929691 |
| ISBN-13: | 9786138929697 |
| Formatas: | 220 x 150 x 9 mm. Knyga minkštu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „Statistical data mining techniques: Medical Applications“
