This Data Mining Concepts test is designed to assess a test taker's understanding of general data mining principles. The test taker should have an understanding of the different methods and algorithms available for data mining. Topics covered by this test include exploratory data analysis and visualization, measurement and distance, text mining, and data mining tasks. This assessment is appropriate for test takers that have a year or more experience with data mining. Total Questions 40 Question Types Multiple Choice Competencies Tested Data Mining TasksMeasurement and DistanceExploratory Data Analysis (EDA) and VisualizationAlgorithms and Methods Tasks Tested Text MiningData ReductionMissing ValuesRatio MeasurementData Mining Application ObjectiveMining Application Key ConsiderationModeling TechniqueMulti-dimensional vs. RelationalModelingImplementationDetermining VariablesPerformance ImprovementRelationshipsInterval Level MeasurementDescriptive and Predictive ModelingData MiningVariable Measured in NumbersMeasurement TechniquesNearest NeighborNormalizationClusteringMoving AverageData LengthEnsemble Method TypeMeasuring DistanceEuclidean DistanceDistance Between VectorsCorrelationClassificationTupleTime Series ForecastingLinear PredictionGain IncomeGain AgeRegression EquationDimension Reduction StrategiesAlgorithmsDetermining Salary
