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data mining with r learning with case studies

data mining with r learning with case studies

ID：7287717

大小：1.67 MB

页数：285页

时间：2018-02-10

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1、ContentsPrefaceixAcknowledgmentsxiListofFiguresxiiiListofTablesxv1Introduction11.1HowtoReadThisBook?....................21.2AShortIntroductiontoR...................31.2.1StartingwithR.....................31.2.2RObjects.........................51.2.3Vector

2、s..........................71.2.4Vectorization.......................101.2.5Factors..........................111.2.6GeneratingSequences..................141.2.7Sub-Setting........................161.2.8MatricesandArrays...................191.2.9Lists.....

3、.......................231.2.10DataFrames.......................261.2.11CreatingNewFunctions.................301.2.12Objects,Classes,andMethods.............331.2.13ManagingYourSessions.................341.3AShortIntroductiontoMySQL................352Predi

4、ctingAlgaeBlooms392.1ProblemDescriptionandObjectives..............392.2DataDescription.........................402.3LoadingtheDataintoR....................412.4DataVisualizationandSummarization............432.5UnknownValues.........................522.5.1

5、RemovingtheObservationswithUnknownValues..532.5.2FillingintheUnknownswiththeMostFrequentValues552.5.3FillingintheUnknownValuesbyExploringCorrela-tions............................56vvi2.5.4FillingintheUnknownValuesbyExploringSimilaritiesbetweenCases.......

6、...............602.6ObtainingPredictionModels..................632.6.1MultipleLinearRegression...............642.6.2RegressionTrees.....................712.7ModelEvaluationandSelection................772.8PredictionsfortheSevenAlgae................912.9Su

7、mmary.............................943PredictingStockMarketReturns953.1ProblemDescriptionandObjectives..............953.2TheAvailableData.......................963.2.1HandlingTime-DependentDatainR.........973.2.2ReadingtheDatafromtheCSVFile..........1013.2

8、.3GettingtheDatafromtheWeb.............1023.2.4ReadingtheDatafromaMySQLDatabase......1043.2.4.1LoadingtheDataintoRRunningonWindows1053.2.4.2LoadingtheDataintoRRunningonLinux.1073.3DefiningthePredictionTasks..........

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