The goal of _____ is to discover both the dense and sparse regions of a data set.

Related MCQs

• If a set is a frequent set and no superset of this set is a frequent set, then it is called ________.
• The partition algorithm uses _______ scans of the databases to discover all frequent sets.
• _______________ is the goal of data mining.
• 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___________.
• If an itemset is not a frequent set and no superset of this is a frequent set, then it is _______.
• Any subset of a frequent set is a frequent set. This is ___________.
• Any superset of an infrequent set is an infrequent set. This is _______.
• Dimensionality reduction reduces the data set size by removing ____________.