data

Classification rule predicts value of arbitrary attribute

• TRUE

• FALSE

The data retrieval is trivial but the data mining is not

• FALSE

• TRUE

refers to the efficient process of searching through large volumes of row data in database to find useful information patterns that are implicitly embedded in the row data.

• pattern may be short and concise

• they deal with clean data

• knowledge discovery in databases

• high number of attributes

Strong , accurate patterns are needed to make decisions how wvr; some issues may hander this process. which of the following statement is untrue

• high number of attributes

• they deal with clean data

• they usually deal with small size of data

• pattern may be short and concise

The following are definitions of "learning" from dictionary. Which of the listed definitions is difficult to measure?

• linearity

• to get knowledge of by study, experience, or being taught

• data mining

• data integration

the following are definitions of "learning" from dictionary. which of the listed definitions is difficult to measure?

• to get knowledge of by study, experience, or being taught

• to get knowledge of study , experience or being taught

The statistical applications and packages are powerful data analysis but their disadvantages are(select all apply):

• they deal with clean data

• high number of attributes

• they usually deal with small size of data

By "High dimensionality" we mean:

• high number of attributes

• homogeneous attributes

one of the following is not among the challendes in real life database

• information

• homogeneous attributes

The semantics conveyed by the data in categorized as

• data mining

• information