___________ data are noisy and have many missing attribute values.

Related MCQs

• Effect of one attribute value on a given class is independent of values of other attribute is called _________.
• Treating incorrect or missing data is called as ___________.
• Contingency table is prepared for _______ attribute data.
• ___________ training may be used when a clear link between input data sets and target output values does not exist.
• ___________ training may be used when a clear link between input data sets and target output values does not exist.
• The important aspect of the data warehouse environment is that data found within the data warehouse is___________.
• Data marts that incorporate data mining tools to extract sets of data are called ______.
• The important aspect of the data warehouse environment is that data found within the data warehouse is___________.
• In ____________, the value of an attribute is examined as it varies over time.
• ___________can be thought of as classifying an attribute value into one of a set of possible classes.