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Chapter1 MA Barmer Book
Karten in diesem Stapel (13)
- 1Data types1.Nominal Variables
2.Binary Variables
3.Ordinal Variables
4.Integer Variables
5.Interval-scaled Variables
6.Ratio-Scaled Variables - 21.Nominal VariablesA variable used to put objects in categories , it maybe numerical in form but the numerical values have no mathematical interpretation
- 32.Binary VariableSpecial case of Nominal variable that takes only two possible values , 1 or 0..
- 43.Ordinal VariableSimiliar to nominal variables except that it have meaning like small , large,medium classes usage
- 54.Integer VariablesType of variables that uses integers , unlike nominal variables , Integer variables have a mathematical interpretation (arithmetically meaningful)
- 65.Interval-scaled VariablesVariables that take numerical values which are measured at equal intervals from a zero point or origin, and the origin doesn't imply absence of the measured characteristics.. e.x(0 degrees doesn't imply absence of the temperature)
- 76.Ratio-Scaled VariablesAre similliar to interval-scaled variables but the difference here is that the origin or zero does imply the absence of the measured charateristics
- 8Attributes Types1.Categorical
2.Continuous - 91.Categorical AttributesRefers to the Nominal , Binary , Ordinal variables
- 102.Continuous AttributesRefers to Integer,Interval-scaled , Ratio-scaled variables
- 11Data CleaningEven when the data is in the standard form it cannot be assumed that it
is error free. In real-world datasets erroneous values can be recorded for a
variety of reasons, including measurement errors, subjective judgements and
malfunctioning or misuse of automatic recording equipment. - 12Dealing with the missing values1.Discard Instances
2.Replace by most frequent/Average Value - 13ClusteringClustering algorithms examine data to find groups of items that are similar. For
example, an insurance company might group customers according to income,
age, types of policy purchased or prior claims experience. In a fault diagnosis
application, electrical faults might be grouped according to the values of certain
key variables
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- Graduate Record Examination (GRE) DataMining (Chapter 1) Karteikarten am Chapter1 MA Barmer Book, erstellt von GM Ducky am 02/04/2016.
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