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ACM journal of data and information quality
| ACM journal of data and information quality |
| Pubbl/distr/stampa | New York, N.Y., : Association for Computing Machinery |
| Disciplina | 004 |
| Soggetto topico |
Database management - Quality control
Databases - Quality control Electronic data processing - Quality control Management information systems - Quality control Bases de données - Gestion - Qualité - Contrôle Bases de données - Qualité - Contrôle Informatique - Qualité - Contrôle Systèmes d'information de gestion - Qualité - Contrôle |
| Soggetto genere / forma | Periodicals. |
| ISSN | 1936-1963 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | JDIQ |
| Record Nr. | UNISA-996548964303316 |
| New York, N.Y., : Association for Computing Machinery | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
ACM journal of data and information quality
| ACM journal of data and information quality |
| Pubbl/distr/stampa | New York, N.Y., : Association for Computing Machinery |
| Disciplina | 004 |
| Soggetto topico |
Database management - Quality control
Databases - Quality control Electronic data processing - Quality control Management information systems - Quality control Bases de données - Gestion - Qualité - Contrôle Bases de données - Qualité - Contrôle Informatique - Qualité - Contrôle Systèmes d'information de gestion - Qualité - Contrôle |
| Soggetto genere / forma |
periodicals.
Periodicals. Périodiques. |
| ISSN | 1936-1963 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | JDIQ |
| Record Nr. | UNINA-9910375862303321 |
| New York, N.Y., : Association for Computing Machinery | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Competing with high quality data : concepts, tools, and techniques for building a successful approach to data quality / / Rajesh Jugulum ; cover design, C. Wallace
| Competing with high quality data : concepts, tools, and techniques for building a successful approach to data quality / / Rajesh Jugulum ; cover design, C. Wallace |
| Autore | Jugulum Rajesh |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2014 |
| Descrizione fisica | xx, 277 pages |
| Disciplina | 004 |
| Altri autori (Persone) | WallaceC |
| Soggetto topico | Electronic data processing - Quality control |
| ISBN |
1-118-41649-X
1-118-84096-8 1-118-42013-6 |
| Classificazione | BUS053000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910140275503321 |
Jugulum Rajesh
|
||
| Hoboken, New Jersey : , : Wiley, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Competing with high quality data : concepts, tools, and techniques for building a successful approach to data quality / / Rajesh Jugulum ; cover design, C. Wallace
| Competing with high quality data : concepts, tools, and techniques for building a successful approach to data quality / / Rajesh Jugulum ; cover design, C. Wallace |
| Autore | Jugulum Rajesh |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2014 |
| Descrizione fisica | xx, 277 pages |
| Disciplina | 004 |
| Altri autori (Persone) | WallaceC |
| Soggetto topico | Electronic data processing - Quality control |
| ISBN |
1-118-41649-X
1-118-84096-8 1-118-42013-6 |
| Classificazione | BUS053000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910808883603321 |
|
Jugulum Rajesh
|
||
| Hoboken, New Jersey : , : Wiley, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Data quality and high-dimensional data analysis [[electronic resource] ] : proceedings of the DASFAA 2008 workshops / / editors: Chee-yong, Chan, ... [et al.]
| Data quality and high-dimensional data analysis [[electronic resource] ] : proceedings of the DASFAA 2008 workshops / / editors: Chee-yong, Chan, ... [et al.] |
| Pubbl/distr/stampa | Singapore ; ; Hackensack, NJ, : World Scientific, c2009 |
| Descrizione fisica | 1 online resource (117 p.) |
| Disciplina |
005.74
025.04 |
| Altri autori (Persone) | ChanChee-Yong |
| Soggetto topico |
Electronic data processing - Quality control
Database management - Quality control |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-282-44256-2
9786612442568 981-4273-49-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Preface; Organizing Committees; CONTENTS; Genomic Information Quality Qing Liu and Xuemin Lin; DeepDetect: An Extensible System for Detecting Attribute Outliers & Duplicates in XML Qiangfeng Peter Lau, Wynne Hsu, Judice L. Y. Koh and Mong Li Lee; CHARIOT: A Comprehensive Data Integration and Quality Assurance Model for Agro-Meteorological Data Mark Anthony F. Mateo and Carson Kai-Sang Leung; Assessing Data Quality Within Available Context Jingyu Han, Dawei Jiang and Zhiming Ding; Data Quality for Decision Support - The Indian Banking Scenario Hemalatha Diwakar and Alka Vaidya
An Approach to Cadastral Map Quality Evaluation in the Republic of Latvia Anita JansoneSNP Selection for Psychiatric Disease Association Based on Allele Frequency Plots E.Fuster-Garcia, et al.; Author Index |
| Record Nr. | UNINA-9910456947503321 |
| Singapore ; ; Hackensack, NJ, : World Scientific, c2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Data quality and high-dimensional data analysis [[electronic resource] ] : proceedings of the DASFAA 2008 workshops / / editors: Chee-yong, Chan, ... [et al.]
| Data quality and high-dimensional data analysis [[electronic resource] ] : proceedings of the DASFAA 2008 workshops / / editors: Chee-yong, Chan, ... [et al.] |
| Pubbl/distr/stampa | Singapore ; ; Hackensack, NJ, : World Scientific, c2009 |
| Descrizione fisica | 1 online resource (117 p.) |
| Disciplina |
005.74
025.04 |
| Altri autori (Persone) | ChanChee-Yong |
| Soggetto topico |
Electronic data processing - Quality control
Database management - Quality control |
| ISBN |
1-282-44256-2
9786612442568 981-4273-49-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Preface; Organizing Committees; CONTENTS; Genomic Information Quality Qing Liu and Xuemin Lin; DeepDetect: An Extensible System for Detecting Attribute Outliers & Duplicates in XML Qiangfeng Peter Lau, Wynne Hsu, Judice L. Y. Koh and Mong Li Lee; CHARIOT: A Comprehensive Data Integration and Quality Assurance Model for Agro-Meteorological Data Mark Anthony F. Mateo and Carson Kai-Sang Leung; Assessing Data Quality Within Available Context Jingyu Han, Dawei Jiang and Zhiming Ding; Data Quality for Decision Support - The Indian Banking Scenario Hemalatha Diwakar and Alka Vaidya
An Approach to Cadastral Map Quality Evaluation in the Republic of Latvia Anita JansoneSNP Selection for Psychiatric Disease Association Based on Allele Frequency Plots E.Fuster-Garcia, et al.; Author Index |
| Record Nr. | UNINA-9910780921803321 |
| Singapore ; ; Hackensack, NJ, : World Scientific, c2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Exploratory data mining and data cleaning [[electronic resource] /] / Tamraparni Dasu, Theorodre Johnson
| Exploratory data mining and data cleaning [[electronic resource] /] / Tamraparni Dasu, Theorodre Johnson |
| Autore | Dasu Tamraparni |
| Pubbl/distr/stampa | New York, : Wiley-Interscience, 2003 |
| Descrizione fisica | 1 online resource (226 p.) |
| Disciplina |
005.741
006.3 006.312 |
| Altri autori (Persone) | JohnsonTheodore |
| Collana | Wiley series in probability and statistics |
| Soggetto topico |
Data mining
Electronic data processing - Data preparation Electronic data processing - Quality control |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-280-36625-7
9786610366255 0-470-30781-1 0-471-45864-3 0-471-44835-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Exploratory Data Mining and Data Cleaning; Contents; Preface; 1. Exploratory Data Mining and Data Cleaning: An Overview; 1.1 Introduction; 1.2 Cautionary Tales; 1.3 Taming the Data; 1.4 Challenges; 1.5 Methods; 1.6 EDM; 1.6.1 EDM Summaries-Parametric; 1.6.2 EDM Summaries-Nonparametric; 1.7 End-to-End Data Quality (DQ); 1.7.1 DQ in Data Preparation; 1.7.2 EDM and Data Glitches; 1.7.3 Tools for DQ; 1.7.4 End-to-End DQ: The Data Quality Continuum; 1.7.5 Measuring Data Quality; 1.8 Conclusion; 2. Exploratory Data Mining; 2.1 Introduction; 2.2 Uncertainty; 2.2.1 Annotated Bibliography
2.3 EDM: Exploratory Data Mining2.4 EDM Summaries; 2.4.1 Typical Values; 2.4.2 Attribute Variation; 2.4.3 Example; 2.4.4 Attribute Relationships; 2.4.5 Annotated Bibliography; 2.5 What Makes a Summary Useful?; 2.5.1 Statistical Properties; 2.5.2 Computational Criteria; 2.5.3 Annotated Bibliography; 2.6 Data-Driven Approach-Nonparametric Analysis; 2.6.1 The Joy of Counting; 2.6.2 Empirical Cumulative Distribution Function (ECDF); 2.6.3 Univariate Histograms; 2.6.4 Annotated Bibliography; 2.7 EDM in Higher Dimensions; 2.8 Rectilinear Histograms; 2.9 Depth and Multivariate Binning 2.9.1 Data Depth2.9.2 Aside: Depth-Related Topics; 2.9.3 Annotated Bibliography; 2.10 Conclusion; 3. Partitions and Piecewise Models; 3.1 Divide and Conquer; 3.1.1 Why Do We Need Partitions?; 3.1.2 Dividing Data; 3.1.3 Applications of Partition-Based EDM Summaries; 3.2 Axis-Aligned Partitions and Data Cubes; 3.2.1 Annotated Bibliography; 3.3 Nonlinear Partitions; 3.3.1 Annotated Bibliography; 3.4 DataSpheres (DS); 3.4.1 Layers; 3.4.2 Data Pyramids; 3.4.3 EDM Summaries; 3.4.4 Annotated Bibliography; 3.5 Set Comparison Using EDM Summaries; 3.5.1 Motivation; 3.5.2 Comparison Strategy 3.5.3 Statistical Tests for Change3.5.4 Application-Two Case Studies; 3.5.5 Annotated Bibliography; 3.6 Discovering Complex Structure in Data with EDM Summaries; 3.6.1 Exploratory Model Fitting in Interactive Response Time; 3.6.2 Annotated Bibliography; 3.7 Piecewise Linear Regression; 3.7.1 An Application; 3.7.2 Regression Coefficients; 3.7.3 Improvement in Fit; 3.7.4 Annotated Bibliography; 3.8 One-Pass Classification; 3.8.1 Quantile-Based Prediction with Piecewise Models; 3.8.2 Simulation Study; 3.8.3 Annotated Bibliography; 3.9 Conclusion; 4. Data Quality; 4.1 Introduction 4.2 The Meaning of Data Quality4.2.1 An Example; 4.2.2 Data Glitches; 4.2.3 Conventional Definition of DQ; 4.2.4 Times Have Changed; 4.2.5 Annotated Bibliography; 4.3 Updating DQ Metrics: Data Quality Continuum; 4.3.1 Data Gathering; 4.3.2 Data Delivery; 4.3.3 Data Monitoring; 4.3.4 Data Storage; 4.3.5 Data Integration; 4.3.6 Data Retrieval; 4.3.7 Data Mining/Analysis; 4.3.8 Annotated Bibliography; 4.4 The Meaning of Data Quality Revisited; 4.4.1 Data Interpretation; 4.4.2 Data Suitability; 4.4.3 Dataset Type; 4.4.4 Attribute Type; 4.4.5 Application Type 4.4.6 Data Quality-A Many Splendored Thing |
| Record Nr. | UNINA-9910146077903321 |
|
Dasu Tamraparni
|
||
| New York, : Wiley-Interscience, 2003 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Exploratory data mining and data cleaning [[electronic resource] /] / Tamraparni Dasu, Theorodre Johnson
| Exploratory data mining and data cleaning [[electronic resource] /] / Tamraparni Dasu, Theorodre Johnson |
| Autore | Dasu Tamraparni |
| Pubbl/distr/stampa | New York, : Wiley-Interscience, 2003 |
| Descrizione fisica | 1 online resource (226 p.) |
| Disciplina |
005.741
006.3 006.312 |
| Altri autori (Persone) | JohnsonTheodore |
| Collana | Wiley series in probability and statistics |
| Soggetto topico |
Data mining
Electronic data processing - Data preparation Electronic data processing - Quality control |
| ISBN |
1-280-36625-7
9786610366255 0-470-30781-1 0-471-45864-3 0-471-44835-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Exploratory Data Mining and Data Cleaning; Contents; Preface; 1. Exploratory Data Mining and Data Cleaning: An Overview; 1.1 Introduction; 1.2 Cautionary Tales; 1.3 Taming the Data; 1.4 Challenges; 1.5 Methods; 1.6 EDM; 1.6.1 EDM Summaries-Parametric; 1.6.2 EDM Summaries-Nonparametric; 1.7 End-to-End Data Quality (DQ); 1.7.1 DQ in Data Preparation; 1.7.2 EDM and Data Glitches; 1.7.3 Tools for DQ; 1.7.4 End-to-End DQ: The Data Quality Continuum; 1.7.5 Measuring Data Quality; 1.8 Conclusion; 2. Exploratory Data Mining; 2.1 Introduction; 2.2 Uncertainty; 2.2.1 Annotated Bibliography
2.3 EDM: Exploratory Data Mining2.4 EDM Summaries; 2.4.1 Typical Values; 2.4.2 Attribute Variation; 2.4.3 Example; 2.4.4 Attribute Relationships; 2.4.5 Annotated Bibliography; 2.5 What Makes a Summary Useful?; 2.5.1 Statistical Properties; 2.5.2 Computational Criteria; 2.5.3 Annotated Bibliography; 2.6 Data-Driven Approach-Nonparametric Analysis; 2.6.1 The Joy of Counting; 2.6.2 Empirical Cumulative Distribution Function (ECDF); 2.6.3 Univariate Histograms; 2.6.4 Annotated Bibliography; 2.7 EDM in Higher Dimensions; 2.8 Rectilinear Histograms; 2.9 Depth and Multivariate Binning 2.9.1 Data Depth2.9.2 Aside: Depth-Related Topics; 2.9.3 Annotated Bibliography; 2.10 Conclusion; 3. Partitions and Piecewise Models; 3.1 Divide and Conquer; 3.1.1 Why Do We Need Partitions?; 3.1.2 Dividing Data; 3.1.3 Applications of Partition-Based EDM Summaries; 3.2 Axis-Aligned Partitions and Data Cubes; 3.2.1 Annotated Bibliography; 3.3 Nonlinear Partitions; 3.3.1 Annotated Bibliography; 3.4 DataSpheres (DS); 3.4.1 Layers; 3.4.2 Data Pyramids; 3.4.3 EDM Summaries; 3.4.4 Annotated Bibliography; 3.5 Set Comparison Using EDM Summaries; 3.5.1 Motivation; 3.5.2 Comparison Strategy 3.5.3 Statistical Tests for Change3.5.4 Application-Two Case Studies; 3.5.5 Annotated Bibliography; 3.6 Discovering Complex Structure in Data with EDM Summaries; 3.6.1 Exploratory Model Fitting in Interactive Response Time; 3.6.2 Annotated Bibliography; 3.7 Piecewise Linear Regression; 3.7.1 An Application; 3.7.2 Regression Coefficients; 3.7.3 Improvement in Fit; 3.7.4 Annotated Bibliography; 3.8 One-Pass Classification; 3.8.1 Quantile-Based Prediction with Piecewise Models; 3.8.2 Simulation Study; 3.8.3 Annotated Bibliography; 3.9 Conclusion; 4. Data Quality; 4.1 Introduction 4.2 The Meaning of Data Quality4.2.1 An Example; 4.2.2 Data Glitches; 4.2.3 Conventional Definition of DQ; 4.2.4 Times Have Changed; 4.2.5 Annotated Bibliography; 4.3 Updating DQ Metrics: Data Quality Continuum; 4.3.1 Data Gathering; 4.3.2 Data Delivery; 4.3.3 Data Monitoring; 4.3.4 Data Storage; 4.3.5 Data Integration; 4.3.6 Data Retrieval; 4.3.7 Data Mining/Analysis; 4.3.8 Annotated Bibliography; 4.4 The Meaning of Data Quality Revisited; 4.4.1 Data Interpretation; 4.4.2 Data Suitability; 4.4.3 Dataset Type; 4.4.4 Attribute Type; 4.4.5 Application Type 4.4.6 Data Quality-A Many Splendored Thing |
| Record Nr. | UNISA-996211655103316 |
|
Dasu Tamraparni
|
||
| New York, : Wiley-Interscience, 2003 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Exploratory data mining and data cleaning [[electronic resource] /] / Tamraparni Dasu, Theorodre Johnson
| Exploratory data mining and data cleaning [[electronic resource] /] / Tamraparni Dasu, Theorodre Johnson |
| Autore | Dasu Tamraparni |
| Pubbl/distr/stampa | New York, : Wiley-Interscience, 2003 |
| Descrizione fisica | 1 online resource (226 p.) |
| Disciplina |
005.741
006.3 006.312 |
| Altri autori (Persone) | JohnsonTheodore |
| Collana | Wiley series in probability and statistics |
| Soggetto topico |
Data mining
Electronic data processing - Data preparation Electronic data processing - Quality control |
| ISBN |
1-280-36625-7
9786610366255 0-470-30781-1 0-471-45864-3 0-471-44835-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Exploratory Data Mining and Data Cleaning; Contents; Preface; 1. Exploratory Data Mining and Data Cleaning: An Overview; 1.1 Introduction; 1.2 Cautionary Tales; 1.3 Taming the Data; 1.4 Challenges; 1.5 Methods; 1.6 EDM; 1.6.1 EDM Summaries-Parametric; 1.6.2 EDM Summaries-Nonparametric; 1.7 End-to-End Data Quality (DQ); 1.7.1 DQ in Data Preparation; 1.7.2 EDM and Data Glitches; 1.7.3 Tools for DQ; 1.7.4 End-to-End DQ: The Data Quality Continuum; 1.7.5 Measuring Data Quality; 1.8 Conclusion; 2. Exploratory Data Mining; 2.1 Introduction; 2.2 Uncertainty; 2.2.1 Annotated Bibliography
2.3 EDM: Exploratory Data Mining2.4 EDM Summaries; 2.4.1 Typical Values; 2.4.2 Attribute Variation; 2.4.3 Example; 2.4.4 Attribute Relationships; 2.4.5 Annotated Bibliography; 2.5 What Makes a Summary Useful?; 2.5.1 Statistical Properties; 2.5.2 Computational Criteria; 2.5.3 Annotated Bibliography; 2.6 Data-Driven Approach-Nonparametric Analysis; 2.6.1 The Joy of Counting; 2.6.2 Empirical Cumulative Distribution Function (ECDF); 2.6.3 Univariate Histograms; 2.6.4 Annotated Bibliography; 2.7 EDM in Higher Dimensions; 2.8 Rectilinear Histograms; 2.9 Depth and Multivariate Binning 2.9.1 Data Depth2.9.2 Aside: Depth-Related Topics; 2.9.3 Annotated Bibliography; 2.10 Conclusion; 3. Partitions and Piecewise Models; 3.1 Divide and Conquer; 3.1.1 Why Do We Need Partitions?; 3.1.2 Dividing Data; 3.1.3 Applications of Partition-Based EDM Summaries; 3.2 Axis-Aligned Partitions and Data Cubes; 3.2.1 Annotated Bibliography; 3.3 Nonlinear Partitions; 3.3.1 Annotated Bibliography; 3.4 DataSpheres (DS); 3.4.1 Layers; 3.4.2 Data Pyramids; 3.4.3 EDM Summaries; 3.4.4 Annotated Bibliography; 3.5 Set Comparison Using EDM Summaries; 3.5.1 Motivation; 3.5.2 Comparison Strategy 3.5.3 Statistical Tests for Change3.5.4 Application-Two Case Studies; 3.5.5 Annotated Bibliography; 3.6 Discovering Complex Structure in Data with EDM Summaries; 3.6.1 Exploratory Model Fitting in Interactive Response Time; 3.6.2 Annotated Bibliography; 3.7 Piecewise Linear Regression; 3.7.1 An Application; 3.7.2 Regression Coefficients; 3.7.3 Improvement in Fit; 3.7.4 Annotated Bibliography; 3.8 One-Pass Classification; 3.8.1 Quantile-Based Prediction with Piecewise Models; 3.8.2 Simulation Study; 3.8.3 Annotated Bibliography; 3.9 Conclusion; 4. Data Quality; 4.1 Introduction 4.2 The Meaning of Data Quality4.2.1 An Example; 4.2.2 Data Glitches; 4.2.3 Conventional Definition of DQ; 4.2.4 Times Have Changed; 4.2.5 Annotated Bibliography; 4.3 Updating DQ Metrics: Data Quality Continuum; 4.3.1 Data Gathering; 4.3.2 Data Delivery; 4.3.3 Data Monitoring; 4.3.4 Data Storage; 4.3.5 Data Integration; 4.3.6 Data Retrieval; 4.3.7 Data Mining/Analysis; 4.3.8 Annotated Bibliography; 4.4 The Meaning of Data Quality Revisited; 4.4.1 Data Interpretation; 4.4.2 Data Suitability; 4.4.3 Dataset Type; 4.4.4 Attribute Type; 4.4.5 Application Type 4.4.6 Data Quality-A Many Splendored Thing |
| Record Nr. | UNINA-9910829874403321 |
|
Dasu Tamraparni
|
||
| New York, : Wiley-Interscience, 2003 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Exploratory data mining and data cleaning / / Tamraparni Dasu, Theorodre Johnson
| Exploratory data mining and data cleaning / / Tamraparni Dasu, Theorodre Johnson |
| Autore | Dasu Tamraparni |
| Pubbl/distr/stampa | New York, : Wiley-Interscience, 2003 |
| Descrizione fisica | 1 online resource (226 p.) |
| Disciplina | 006.3 |
| Altri autori (Persone) | JohnsonTheodore |
| Collana | Wiley series in probability and statistics |
| Soggetto topico |
Data mining
Electronic data processing - Data preparation Electronic data processing - Quality control |
| ISBN |
9786610366255
9781280366253 1280366257 9780470307816 0470307811 9780471458647 0471458643 9780471448358 0471448354 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Exploratory Data Mining and Data Cleaning; Contents; Preface; 1. Exploratory Data Mining and Data Cleaning: An Overview; 1.1 Introduction; 1.2 Cautionary Tales; 1.3 Taming the Data; 1.4 Challenges; 1.5 Methods; 1.6 EDM; 1.6.1 EDM Summaries-Parametric; 1.6.2 EDM Summaries-Nonparametric; 1.7 End-to-End Data Quality (DQ); 1.7.1 DQ in Data Preparation; 1.7.2 EDM and Data Glitches; 1.7.3 Tools for DQ; 1.7.4 End-to-End DQ: The Data Quality Continuum; 1.7.5 Measuring Data Quality; 1.8 Conclusion; 2. Exploratory Data Mining; 2.1 Introduction; 2.2 Uncertainty; 2.2.1 Annotated Bibliography
2.3 EDM: Exploratory Data Mining2.4 EDM Summaries; 2.4.1 Typical Values; 2.4.2 Attribute Variation; 2.4.3 Example; 2.4.4 Attribute Relationships; 2.4.5 Annotated Bibliography; 2.5 What Makes a Summary Useful?; 2.5.1 Statistical Properties; 2.5.2 Computational Criteria; 2.5.3 Annotated Bibliography; 2.6 Data-Driven Approach-Nonparametric Analysis; 2.6.1 The Joy of Counting; 2.6.2 Empirical Cumulative Distribution Function (ECDF); 2.6.3 Univariate Histograms; 2.6.4 Annotated Bibliography; 2.7 EDM in Higher Dimensions; 2.8 Rectilinear Histograms; 2.9 Depth and Multivariate Binning 2.9.1 Data Depth2.9.2 Aside: Depth-Related Topics; 2.9.3 Annotated Bibliography; 2.10 Conclusion; 3. Partitions and Piecewise Models; 3.1 Divide and Conquer; 3.1.1 Why Do We Need Partitions?; 3.1.2 Dividing Data; 3.1.3 Applications of Partition-Based EDM Summaries; 3.2 Axis-Aligned Partitions and Data Cubes; 3.2.1 Annotated Bibliography; 3.3 Nonlinear Partitions; 3.3.1 Annotated Bibliography; 3.4 DataSpheres (DS); 3.4.1 Layers; 3.4.2 Data Pyramids; 3.4.3 EDM Summaries; 3.4.4 Annotated Bibliography; 3.5 Set Comparison Using EDM Summaries; 3.5.1 Motivation; 3.5.2 Comparison Strategy 3.5.3 Statistical Tests for Change3.5.4 Application-Two Case Studies; 3.5.5 Annotated Bibliography; 3.6 Discovering Complex Structure in Data with EDM Summaries; 3.6.1 Exploratory Model Fitting in Interactive Response Time; 3.6.2 Annotated Bibliography; 3.7 Piecewise Linear Regression; 3.7.1 An Application; 3.7.2 Regression Coefficients; 3.7.3 Improvement in Fit; 3.7.4 Annotated Bibliography; 3.8 One-Pass Classification; 3.8.1 Quantile-Based Prediction with Piecewise Models; 3.8.2 Simulation Study; 3.8.3 Annotated Bibliography; 3.9 Conclusion; 4. Data Quality; 4.1 Introduction 4.2 The Meaning of Data Quality4.2.1 An Example; 4.2.2 Data Glitches; 4.2.3 Conventional Definition of DQ; 4.2.4 Times Have Changed; 4.2.5 Annotated Bibliography; 4.3 Updating DQ Metrics: Data Quality Continuum; 4.3.1 Data Gathering; 4.3.2 Data Delivery; 4.3.3 Data Monitoring; 4.3.4 Data Storage; 4.3.5 Data Integration; 4.3.6 Data Retrieval; 4.3.7 Data Mining/Analysis; 4.3.8 Annotated Bibliography; 4.4 The Meaning of Data Quality Revisited; 4.4.1 Data Interpretation; 4.4.2 Data Suitability; 4.4.3 Dataset Type; 4.4.4 Attribute Type; 4.4.5 Application Type 4.4.6 Data Quality-A Many Splendored Thing |
| Record Nr. | UNINA-9911019109003321 |
|
Dasu Tamraparni
|
||
| New York, : Wiley-Interscience, 2003 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
