Question: C.S. Data Mining(Solve all) Knowledge presentation is where visualization and knowledge representation techniques are used to present mined knowledge to users. 1. In tight coupling

C.S. Data Mining(Solve all)

C.S. Data Mining(Solve all) Knowledge presentation is where visualization and knowledge representation

Knowledge presentation is where visualization and knowledge representation techniques are used to present mined knowledge to users. 1. In tight coupling approach, some of the data mining primitives such as aggregation, sorting or precomputation of statistical functions are efficiently implemented in the database or data warehouse system, for use by the data mining system during mining- query processing. Question 6 options: True Question 1 options: True False False Classification is unsupervised learning technique. Question 7 options: 2. After establishment of data base system, DB technology moved towards the development of advance DB systems, data warehousing and data mining for advanced data analysis and web-based data bases. True False Question 2 options: 2 True An object is a data field, representing a characteristic or feature of a data object. False Question 8 options: True Relational Database System is a repository of multiple heterogeneous data sources organized under a unified schema at a single site to facilitate management decision making. False Question 3 options: True A nominal attribute is an attribute with possible values that have a meaningful order or ranking among them, but the magnitude between successive values is not known. False Question 9 options: c True Data cleaning is the process where data relevant to the analysis task are retrieved from the data base. False interval-scaled attribute is a numeric attribute with an inherent zero-point. Question 10 options: True Question 4 options: True False False A high standard deviation means that the data observations tend to be very close to the mean, while a low standard deviation indicates that the data are spread out over a large range of values. Pattern evaluation is the process of identifying the truly interesting patterns representing knowledge based interestedness measures. Question 11 options: Question 5 options: True True False False

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