Comment
Author: Admin | 2025-04-28
Any planetappearing or disappearing.Describe the differences between the following approaches for the integration of a data mining system witha database or data warehouse system: no coupling, loose coupling, semitight coupling, and tight coupling.State which approach you think is the most popular, and why.Answer:The differences between the following architectures for the integration of a data mining system with a databaseor data warehouse system are as follows.No coupling: The data mining system uses sources such as flat files to obtain the initial data set to be mined since no database system or data warehouse system functions are implemented as part of the process. Thus, this architecture represents a poor design choice.Loose coupling: The data mining system is not integrated with the database or data warehouse system beyond their use as the source of the initial data set to be mined, and possible use in storage of the results. Thus, this architecture can take advantage of the flexibility, efficiency and features such as indexing that the database and data warehousing systems may provide. However, it is difficult for loose coupling to achieve high scalability and good performance with large data sets as many such systems are memory-based.Semitight coupling: Some of the data mining primitives such as aggregation, sorting or precompu- tation of statistical functions are efficiently implemented in the database or data warehouse system, for use by the data mining system during mining-query processing. Also, some frequently used intermedi- ate mining results can be precomputed and stored in the database or data warehouse system, thereby enhancing the performance of the data mining system.Tight coupling: The database or data warehouse system is fully integrated as part of the data mining system and thereby provides optimized data mining query processing. Thus, the data mining subsystem is treated as one functional component of an information system. This is a highly desirable architecture as it facilitates efficient implementations of data mining functions, high system performance, and an integrated information processing environment.From the descriptions of the architectures provided above, it can be seen that tight coupling is the best alter-native without respect to technical or implementation issues. However,
Add Comment