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Data preparation for data mining using SAS [[electronic resource] /] / Mamdouh Refaat
| Data preparation for data mining using SAS [[electronic resource] /] / Mamdouh Refaat |
| Autore | Refaat Mamdouh |
| Pubbl/distr/stampa | Amsterdam ; ; Boston, : Morgan Kaufmann Publishers, c2007 |
| Descrizione fisica | 1 online resource (425 p.) |
| Disciplina |
005.74
006.3/12 22 006.312 |
| Collana | The Morgan Kaufmann series in data management systems |
| Soggetto topico | Data mining |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-281-00538-X
9786611005382 0-08-049100-6 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; Data Preparation for Data Mining Using SAS; Copyright Page; Contents; List of Figures; List of Tables; Preface; CHAPTER 1. INTRODUCTION; 1.1 The Data Mining Process; 1.2 Methodologies of Data Mining; 1.3 The Mining View; 1.4 The Scoring View; 1.5 Notes on Data Mining Software; CHAPTER 2. TASKS AND DATA FLOW; 2.1 Data Mining Tasks; 2.2 Data Mining Competencies; 2.3 The Data Flow; 2.4 Types of Variables; 2.5 The Mining View and the Scoring View; 2.6 Steps of Data Preparation; CHAPTER 3. REVIEW OF DATA MINING MODELING TECHNIQUES; 3.1 Introduction; 3.2 Regression Models
3.3 Decision Trees3.4 Neural Networks; 3.5 Cluster Analysis; 3.6 Association Rules; 3.7 Time Series Analysis; 3.8 Support Vector Machines; CHAPTER 4. SAS MACROS: A QUICK START; 4.1 Introduction:Why Macros?; 4.2 The Basics: The Macro and Its Variables; 4.3 Doing Calculations; 4.4 Programming Logic; 4.5 Working with Strings; 4.6 Macros That Call Other Macros; 4.7 Common Macro Patterns and Caveats; 4.8 Where to Go From Here; CHAPTER 5. DATA ACQUISITION AND INTEGRATION; 5.1 Introduction; 5.2 Sources of Data; 5.3 Variable Types; 5.4 Data Rollup; 5.5 Rollup with Sums, Averages, and Counts 5.6 Calculation of the Mode5.7 Data Integration; CHAPTER 6. INTEGRITY CHECKS; 6.1 Introduction; 6.2 Comparing Datasets; 6.3 Dataset Schema Checks; 6.4 Nominal Variables; 6.5 Continuous Variables; CHAPTER 7. EXPLORATORY DATA ANALYSIS; 7.1 Introduction; 7.2 Common EDA Procedures; 7.3 Univariate Statistics; 7.4 Variable Distribution; 7.5 Detection of Outliers; 7.6 Testing Normality; 7.7 Cross-tabulation; 7.8 Investigating Data Structures; CHAPTER 8. SAMPLING AND PARTITIONING; 8.1 Introduction; 8.2 Contents of Samples; 8.3 Random Sampling; 8.4 Balanced Sampling; 8.5 Minimum Sample Size 8.6 Checking Validity of SampleCHAPTER 9. DATA TRANSFORMATIONS; 9.1 Raw and Analytical Variables; 9.2 Scope of Data Transformations; 9.3 Creation of New Variables; 9.4 Mapping of Nominal Variables; 9.5 Normalization of Continuous Variables; 9.6 Changing the Variable Distribution; CHAPTER 10. BINNING AND REDUCTION OF CARDINALITY; 10.1 Introduction; 10.2 Cardinality Reduction; 10.3 Binning of Continuous Variables; CHAPTER 11. TREATMENT OF MISSING VALUES; 11.1 Introduction; 11.2 Simple Replacement; 11.3 Imputing Missing Values; 11.4 Imputation Methods and Strategy 11.5 SAS Macros for Multiple Imputation11.6 Predicting Missing Values; CHAPTER 12. PREDICTIVE POWER AND VARIABLE REDUCTION I; 12.1 Introduction; 12.2 Metrics of Predictive Power; 12.3 Methods of Variable Reduction; 12.4 Variable Reduction: Before or During Modeling; CHAPTER 13. ANALYSIS OF NOMINAL AND ORDINAL VARIABLES; 13.1 Introduction; 13.2 Contingency Tables; 13.3 Notation and Definitions; 13.4 Contingency Tables for Binary Variables; 13.5 Contingency Tables for Multicategory Variables; 13.6 Analysis of Ordinal Variables; 13.7 Implementation Scenarios CHAPTER 14. ANALYSIS OF CONTINUOUS VARIABLES |
| Record Nr. | UNINA-9910458655203321 |
Refaat Mamdouh
|
||
| Amsterdam ; ; Boston, : Morgan Kaufmann Publishers, c2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Data preparation for data mining using SAS [[electronic resource] /] / Mamdouh Refaat
| Data preparation for data mining using SAS [[electronic resource] /] / Mamdouh Refaat |
| Autore | Refaat Mamdouh |
| Pubbl/distr/stampa | Amsterdam ; ; Boston, : Morgan Kaufmann Publishers, c2007 |
| Descrizione fisica | 1 online resource (425 p.) |
| Disciplina |
005.74
006.3/12 22 006.312 |
| Collana | The Morgan Kaufmann series in data management systems |
| Soggetto topico | Data mining |
| ISBN |
1-281-00538-X
9786611005382 0-08-049100-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; Data Preparation for Data Mining Using SAS; Copyright Page; Contents; List of Figures; List of Tables; Preface; CHAPTER 1. INTRODUCTION; 1.1 The Data Mining Process; 1.2 Methodologies of Data Mining; 1.3 The Mining View; 1.4 The Scoring View; 1.5 Notes on Data Mining Software; CHAPTER 2. TASKS AND DATA FLOW; 2.1 Data Mining Tasks; 2.2 Data Mining Competencies; 2.3 The Data Flow; 2.4 Types of Variables; 2.5 The Mining View and the Scoring View; 2.6 Steps of Data Preparation; CHAPTER 3. REVIEW OF DATA MINING MODELING TECHNIQUES; 3.1 Introduction; 3.2 Regression Models
3.3 Decision Trees3.4 Neural Networks; 3.5 Cluster Analysis; 3.6 Association Rules; 3.7 Time Series Analysis; 3.8 Support Vector Machines; CHAPTER 4. SAS MACROS: A QUICK START; 4.1 Introduction:Why Macros?; 4.2 The Basics: The Macro and Its Variables; 4.3 Doing Calculations; 4.4 Programming Logic; 4.5 Working with Strings; 4.6 Macros That Call Other Macros; 4.7 Common Macro Patterns and Caveats; 4.8 Where to Go From Here; CHAPTER 5. DATA ACQUISITION AND INTEGRATION; 5.1 Introduction; 5.2 Sources of Data; 5.3 Variable Types; 5.4 Data Rollup; 5.5 Rollup with Sums, Averages, and Counts 5.6 Calculation of the Mode5.7 Data Integration; CHAPTER 6. INTEGRITY CHECKS; 6.1 Introduction; 6.2 Comparing Datasets; 6.3 Dataset Schema Checks; 6.4 Nominal Variables; 6.5 Continuous Variables; CHAPTER 7. EXPLORATORY DATA ANALYSIS; 7.1 Introduction; 7.2 Common EDA Procedures; 7.3 Univariate Statistics; 7.4 Variable Distribution; 7.5 Detection of Outliers; 7.6 Testing Normality; 7.7 Cross-tabulation; 7.8 Investigating Data Structures; CHAPTER 8. SAMPLING AND PARTITIONING; 8.1 Introduction; 8.2 Contents of Samples; 8.3 Random Sampling; 8.4 Balanced Sampling; 8.5 Minimum Sample Size 8.6 Checking Validity of SampleCHAPTER 9. DATA TRANSFORMATIONS; 9.1 Raw and Analytical Variables; 9.2 Scope of Data Transformations; 9.3 Creation of New Variables; 9.4 Mapping of Nominal Variables; 9.5 Normalization of Continuous Variables; 9.6 Changing the Variable Distribution; CHAPTER 10. BINNING AND REDUCTION OF CARDINALITY; 10.1 Introduction; 10.2 Cardinality Reduction; 10.3 Binning of Continuous Variables; CHAPTER 11. TREATMENT OF MISSING VALUES; 11.1 Introduction; 11.2 Simple Replacement; 11.3 Imputing Missing Values; 11.4 Imputation Methods and Strategy 11.5 SAS Macros for Multiple Imputation11.6 Predicting Missing Values; CHAPTER 12. PREDICTIVE POWER AND VARIABLE REDUCTION I; 12.1 Introduction; 12.2 Metrics of Predictive Power; 12.3 Methods of Variable Reduction; 12.4 Variable Reduction: Before or During Modeling; CHAPTER 13. ANALYSIS OF NOMINAL AND ORDINAL VARIABLES; 13.1 Introduction; 13.2 Contingency Tables; 13.3 Notation and Definitions; 13.4 Contingency Tables for Binary Variables; 13.5 Contingency Tables for Multicategory Variables; 13.6 Analysis of Ordinal Variables; 13.7 Implementation Scenarios CHAPTER 14. ANALYSIS OF CONTINUOUS VARIABLES |
| Record Nr. | UNINA-9910784656403321 |
|
Refaat Mamdouh
|
||
| Amsterdam ; ; Boston, : Morgan Kaufmann Publishers, c2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Data preparation for data mining using SAS / / Mamdouh Refaat
| Data preparation for data mining using SAS / / Mamdouh Refaat |
| Autore | Refaat Mamdouh |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Amsterdam ; ; Boston, : Morgan Kaufmann Publishers, c2007 |
| Descrizione fisica | 1 online resource (425 p.) |
| Disciplina |
005.74
006.3/12 22 006.312 |
| Collana | The Morgan Kaufmann series in data management systems |
| Soggetto topico | Data mining |
| ISBN |
1-281-00538-X
9786611005382 0-08-049100-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; Data Preparation for Data Mining Using SAS; Copyright Page; Contents; List of Figures; List of Tables; Preface; CHAPTER 1. INTRODUCTION; 1.1 The Data Mining Process; 1.2 Methodologies of Data Mining; 1.3 The Mining View; 1.4 The Scoring View; 1.5 Notes on Data Mining Software; CHAPTER 2. TASKS AND DATA FLOW; 2.1 Data Mining Tasks; 2.2 Data Mining Competencies; 2.3 The Data Flow; 2.4 Types of Variables; 2.5 The Mining View and the Scoring View; 2.6 Steps of Data Preparation; CHAPTER 3. REVIEW OF DATA MINING MODELING TECHNIQUES; 3.1 Introduction; 3.2 Regression Models
3.3 Decision Trees3.4 Neural Networks; 3.5 Cluster Analysis; 3.6 Association Rules; 3.7 Time Series Analysis; 3.8 Support Vector Machines; CHAPTER 4. SAS MACROS: A QUICK START; 4.1 Introduction:Why Macros?; 4.2 The Basics: The Macro and Its Variables; 4.3 Doing Calculations; 4.4 Programming Logic; 4.5 Working with Strings; 4.6 Macros That Call Other Macros; 4.7 Common Macro Patterns and Caveats; 4.8 Where to Go From Here; CHAPTER 5. DATA ACQUISITION AND INTEGRATION; 5.1 Introduction; 5.2 Sources of Data; 5.3 Variable Types; 5.4 Data Rollup; 5.5 Rollup with Sums, Averages, and Counts 5.6 Calculation of the Mode5.7 Data Integration; CHAPTER 6. INTEGRITY CHECKS; 6.1 Introduction; 6.2 Comparing Datasets; 6.3 Dataset Schema Checks; 6.4 Nominal Variables; 6.5 Continuous Variables; CHAPTER 7. EXPLORATORY DATA ANALYSIS; 7.1 Introduction; 7.2 Common EDA Procedures; 7.3 Univariate Statistics; 7.4 Variable Distribution; 7.5 Detection of Outliers; 7.6 Testing Normality; 7.7 Cross-tabulation; 7.8 Investigating Data Structures; CHAPTER 8. SAMPLING AND PARTITIONING; 8.1 Introduction; 8.2 Contents of Samples; 8.3 Random Sampling; 8.4 Balanced Sampling; 8.5 Minimum Sample Size 8.6 Checking Validity of SampleCHAPTER 9. DATA TRANSFORMATIONS; 9.1 Raw and Analytical Variables; 9.2 Scope of Data Transformations; 9.3 Creation of New Variables; 9.4 Mapping of Nominal Variables; 9.5 Normalization of Continuous Variables; 9.6 Changing the Variable Distribution; CHAPTER 10. BINNING AND REDUCTION OF CARDINALITY; 10.1 Introduction; 10.2 Cardinality Reduction; 10.3 Binning of Continuous Variables; CHAPTER 11. TREATMENT OF MISSING VALUES; 11.1 Introduction; 11.2 Simple Replacement; 11.3 Imputing Missing Values; 11.4 Imputation Methods and Strategy 11.5 SAS Macros for Multiple Imputation11.6 Predicting Missing Values; CHAPTER 12. PREDICTIVE POWER AND VARIABLE REDUCTION I; 12.1 Introduction; 12.2 Metrics of Predictive Power; 12.3 Methods of Variable Reduction; 12.4 Variable Reduction: Before or During Modeling; CHAPTER 13. ANALYSIS OF NOMINAL AND ORDINAL VARIABLES; 13.1 Introduction; 13.2 Contingency Tables; 13.3 Notation and Definitions; 13.4 Contingency Tables for Binary Variables; 13.5 Contingency Tables for Multicategory Variables; 13.6 Analysis of Ordinal Variables; 13.7 Implementation Scenarios CHAPTER 14. ANALYSIS OF CONTINUOUS VARIABLES |
| Record Nr. | UNINA-9910814564703321 |
|
Refaat Mamdouh
|
||
| Amsterdam ; ; Boston, : Morgan Kaufmann Publishers, c2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||