A practical guide to data mining for business and industry / / Andrea Ahlemeyer-Stubbe, Shirley Coleman |
Autore | Ahlemeyer-Stubbe Andrea |
Edizione | [1st edition] |
Pubbl/distr/stampa | Chichester, England : , : Wiley, , 2014 |
Descrizione fisica | 1 online resource (325 p.) |
Disciplina | 006.3/12 |
Soggetto topico |
Data mining
Marketing - Data processing Management - Mathematical models |
ISBN |
1-118-76337-8
1-118-76370-X 1-118-76372-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
A Practical Guide to Data Mining for Business and Industry; Copyright; Contents; Glossary of terms; Part I Data Mining Concept; 1 Introduction; 1.1 Aims of the Book; 1.2 Data Mining Context; 1.2.1 Domain Knowledge; 1.2.2 Words to Remember; 1.2.3 Associated Concepts; 1.3 Global Appeal; 1.4 Example Datasets Used in This Book; 1.5 Recipe Structure; 1.6 Further Reading and Resources; 2 Data mining definition; 2.1 Types of Data Mining Questions; 2.1.1 Population and Sample; 2.1.2 Data Preparation; 2.1.3 Supervised and Unsupervised Methods; 2.1.4 Knowledge-Discovery Techniques
2.2 Data Mining Process2.3 Business Task: Clarification of the Business Question behind the Problem; 2.4 Data: Provision and Processing of the Required Data; 2.4.1 Fixing the Analysis Period; 2.4.2 Basic Unit of Interest; 2.4.3 Target Variables; 2.4.4 Input Variables/Explanatory Variables; 2.5 Modelling: Analysis of the Data; 2.6 Evaluation and Validation during the Analysis Stage; 2.7 Application of Data Mining Results and Learning from the Experience; Part II Data Mining Practicalities; 3 All about data; 3.1 Some Basics; 3.1.1 Data, Information, Knowledge and Wisdom 3.1.2 Sources and Quality of Data3.1.3 Measurement Level and Types of Data; 3.1.4 Measures of Magnitude and Dispersion; 3.1.5 Data Distributions; 3.2 Data Partition: Random Samples for Training, Testing and Validation; 3.3 Types of Business Information Systems; 3.3.1 Operational Systems Supporting Business Processes; 3.3.2 Analysis-Based Information Systems; 3.3.3 Importance of Information; 3.4 Data Warehouses; 3.4.1 Topic Orientation; 3.4.2 Logical Integration and Homogenisation; 3.4.3 Reference Period; 3.4.4 Low Volatility; 3.4.5 Using the Data Warehouse 3.5 Three Components of a Data Warehouse: DBMS, DB and DBCS3.5.1 Database Management System (DBMS); 3.5.2 Database (DB); 3.5.3 Database Communication Systems (DBCS); 3.6 Data Marts; 3.6.1 Regularly Filled Data Marts; 3.6.2 Comparison between Data Marts and Data Warehouses; 3.7 A Typical Example from the Online Marketing Area; 3.8 Unique Data Marts; 3.8.1 Permanent Data Marts; 3.8.2 Data Marts Resulting from Complex Analysis; 3.9 Data Mart: Do's and Don'ts; 3.9.1 Do's and Don'ts for Processes; 3.9.2 Do's and Don'ts for Handling; 3.9.3 Do's and Don'ts for Coding/Programming; 4 Data Preparation 4.1 Necessity of Data Preparation4.2 From Small and Long to Short and Wide; 4.3 Transformation of Variables; 4.4 Missing Data and Imputation Strategies; 4.5 Outliers; 4.6 Dealing with the Vagaries of Data; 4.6.1 Distributions; 4.6.2 Tests for Normality; 4.6.3 Data with Totally Different Scales; 4.7 Adjusting the Data Distributions; 4.7.1 Standardisation and Normalisation; 4.7.2 Ranking; 4.7.3 Box-Cox Transformation; 4.8 Binning; 4.8.1 Bucket Method; 4.8.2 Analytical Binning for Nominal Variables; 4.8.3 Quantiles; 4.8.4 Binning in Practice; 4.9 Timing Considerations; 4.10 Operational Issues 5 Analytics |
Record Nr. | UNINA-9910132217603321 |
Ahlemeyer-Stubbe Andrea
![]() |
||
Chichester, England : , : Wiley, , 2014 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
A practical guide to data mining for business and industry / / Andrea Ahlemeyer-Stubbe, Shirley Coleman |
Autore | Ahlemeyer-Stubbe Andrea |
Edizione | [1st edition] |
Pubbl/distr/stampa | Chichester, England : , : Wiley, , 2014 |
Descrizione fisica | 1 online resource (325 p.) |
Disciplina | 006.3/12 |
Soggetto topico |
Data mining
Marketing - Data processing Management - Mathematical models |
ISBN |
1-118-76337-8
1-118-76370-X 1-118-76372-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
A Practical Guide to Data Mining for Business and Industry; Copyright; Contents; Glossary of terms; Part I Data Mining Concept; 1 Introduction; 1.1 Aims of the Book; 1.2 Data Mining Context; 1.2.1 Domain Knowledge; 1.2.2 Words to Remember; 1.2.3 Associated Concepts; 1.3 Global Appeal; 1.4 Example Datasets Used in This Book; 1.5 Recipe Structure; 1.6 Further Reading and Resources; 2 Data mining definition; 2.1 Types of Data Mining Questions; 2.1.1 Population and Sample; 2.1.2 Data Preparation; 2.1.3 Supervised and Unsupervised Methods; 2.1.4 Knowledge-Discovery Techniques
2.2 Data Mining Process2.3 Business Task: Clarification of the Business Question behind the Problem; 2.4 Data: Provision and Processing of the Required Data; 2.4.1 Fixing the Analysis Period; 2.4.2 Basic Unit of Interest; 2.4.3 Target Variables; 2.4.4 Input Variables/Explanatory Variables; 2.5 Modelling: Analysis of the Data; 2.6 Evaluation and Validation during the Analysis Stage; 2.7 Application of Data Mining Results and Learning from the Experience; Part II Data Mining Practicalities; 3 All about data; 3.1 Some Basics; 3.1.1 Data, Information, Knowledge and Wisdom 3.1.2 Sources and Quality of Data3.1.3 Measurement Level and Types of Data; 3.1.4 Measures of Magnitude and Dispersion; 3.1.5 Data Distributions; 3.2 Data Partition: Random Samples for Training, Testing and Validation; 3.3 Types of Business Information Systems; 3.3.1 Operational Systems Supporting Business Processes; 3.3.2 Analysis-Based Information Systems; 3.3.3 Importance of Information; 3.4 Data Warehouses; 3.4.1 Topic Orientation; 3.4.2 Logical Integration and Homogenisation; 3.4.3 Reference Period; 3.4.4 Low Volatility; 3.4.5 Using the Data Warehouse 3.5 Three Components of a Data Warehouse: DBMS, DB and DBCS3.5.1 Database Management System (DBMS); 3.5.2 Database (DB); 3.5.3 Database Communication Systems (DBCS); 3.6 Data Marts; 3.6.1 Regularly Filled Data Marts; 3.6.2 Comparison between Data Marts and Data Warehouses; 3.7 A Typical Example from the Online Marketing Area; 3.8 Unique Data Marts; 3.8.1 Permanent Data Marts; 3.8.2 Data Marts Resulting from Complex Analysis; 3.9 Data Mart: Do's and Don'ts; 3.9.1 Do's and Don'ts for Processes; 3.9.2 Do's and Don'ts for Handling; 3.9.3 Do's and Don'ts for Coding/Programming; 4 Data Preparation 4.1 Necessity of Data Preparation4.2 From Small and Long to Short and Wide; 4.3 Transformation of Variables; 4.4 Missing Data and Imputation Strategies; 4.5 Outliers; 4.6 Dealing with the Vagaries of Data; 4.6.1 Distributions; 4.6.2 Tests for Normality; 4.6.3 Data with Totally Different Scales; 4.7 Adjusting the Data Distributions; 4.7.1 Standardisation and Normalisation; 4.7.2 Ranking; 4.7.3 Box-Cox Transformation; 4.8 Binning; 4.8.1 Bucket Method; 4.8.2 Analytical Binning for Nominal Variables; 4.8.3 Quantiles; 4.8.4 Binning in Practice; 4.9 Timing Considerations; 4.10 Operational Issues 5 Analytics |
Record Nr. | UNINA-9910818902803321 |
Ahlemeyer-Stubbe Andrea
![]() |
||
Chichester, England : , : Wiley, , 2014 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Statistical practice in business and industry [[electronic resource] /] / edited by Shirley Coleman ... [et al.] |
Pubbl/distr/stampa | Chichester, England ; ; Hoboken, NJ, : John Wiley & Sons, c2008 |
Descrizione fisica | 1 online resource (449 p.) |
Disciplina |
338.00727
658.4 658.4/033 658.4033 |
Altri autori (Persone) | ColemanShirley |
Collana | Statistics in practice |
Soggetto topico | Commercial statistics |
ISBN |
1-281-31234-7
9786611312343 0-470-99748-6 0-470-99747-8 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Statistical Practice in Business and Industry; Contents; Contributors; Preface; 1 Introduction; 2 A History of Industrial Statistics; 3 Statistical Consultancy; 3.I. A Statistician in Industry; 3.II Black Belt Types; 3.III Statistical Consultancy Units at Universities; 3.IV Consultancy? . . . What's in It for Me?; 4 The Statistical Efficiency Conjecture; 5 Management Statistics; 6 Service Quality; 7 Design and Analysis of Industrial Experiments; 8 Data Mining; 9 Using Statistical Process Control for Continual Improvement; 10 Advanced Statistical Process Control; 11 Measurement System Analysis
12 Safety and Reliability12.I. Reliability Engineering: The State of the Art; 12.II Stochastics for the Quality Movement: An Integrated Approach to Reliability and Safety; 13 Multivariate and Multiscale Data Analysis; 14 Simulation in Industrial Statistics; 15 Communication; Index |
Record Nr. | UNINA-9910145688203321 |
Chichester, England ; ; Hoboken, NJ, : John Wiley & Sons, c2008 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Statistical practice in business and industry [[electronic resource] /] / edited by Shirley Coleman ... [et al.] |
Pubbl/distr/stampa | Chichester, England ; ; Hoboken, NJ, : John Wiley & Sons, c2008 |
Descrizione fisica | 1 online resource (449 p.) |
Disciplina |
338.00727
658.4 658.4/033 658.4033 |
Altri autori (Persone) | ColemanShirley |
Collana | Statistics in practice |
Soggetto topico | Commercial statistics |
ISBN |
1-281-31234-7
9786611312343 0-470-99748-6 0-470-99747-8 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Statistical Practice in Business and Industry; Contents; Contributors; Preface; 1 Introduction; 2 A History of Industrial Statistics; 3 Statistical Consultancy; 3.I. A Statistician in Industry; 3.II Black Belt Types; 3.III Statistical Consultancy Units at Universities; 3.IV Consultancy? . . . What's in It for Me?; 4 The Statistical Efficiency Conjecture; 5 Management Statistics; 6 Service Quality; 7 Design and Analysis of Industrial Experiments; 8 Data Mining; 9 Using Statistical Process Control for Continual Improvement; 10 Advanced Statistical Process Control; 11 Measurement System Analysis
12 Safety and Reliability12.I. Reliability Engineering: The State of the Art; 12.II Stochastics for the Quality Movement: An Integrated Approach to Reliability and Safety; 13 Multivariate and Multiscale Data Analysis; 14 Simulation in Industrial Statistics; 15 Communication; Index |
Record Nr. | UNINA-9910830176503321 |
Chichester, England ; ; Hoboken, NJ, : John Wiley & Sons, c2008 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Statistical practice in business and industry [[electronic resource] /] / edited by Shirley Coleman ... [et al.] |
Pubbl/distr/stampa | Chichester, England ; ; Hoboken, NJ, : John Wiley & Sons, c2008 |
Descrizione fisica | 1 online resource (449 p.) |
Disciplina |
338.00727
658.4 658.4/033 658.4033 |
Altri autori (Persone) | ColemanShirley |
Collana | Statistics in practice |
Soggetto topico | Commercial statistics |
ISBN |
1-281-31234-7
9786611312343 0-470-99748-6 0-470-99747-8 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Statistical Practice in Business and Industry; Contents; Contributors; Preface; 1 Introduction; 2 A History of Industrial Statistics; 3 Statistical Consultancy; 3.I. A Statistician in Industry; 3.II Black Belt Types; 3.III Statistical Consultancy Units at Universities; 3.IV Consultancy? . . . What's in It for Me?; 4 The Statistical Efficiency Conjecture; 5 Management Statistics; 6 Service Quality; 7 Design and Analysis of Industrial Experiments; 8 Data Mining; 9 Using Statistical Process Control for Continual Improvement; 10 Advanced Statistical Process Control; 11 Measurement System Analysis
12 Safety and Reliability12.I. Reliability Engineering: The State of the Art; 12.II Stochastics for the Quality Movement: An Integrated Approach to Reliability and Safety; 13 Multivariate and Multiscale Data Analysis; 14 Simulation in Industrial Statistics; 15 Communication; Index |
Record Nr. | UNINA-9910841785503321 |
Chichester, England ; ; Hoboken, NJ, : John Wiley & Sons, c2008 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|