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Biblioteca

MARC Lista (tabellare)
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. UNINA-9910375862303321
New York, N.Y., : Association for Computing Machinery
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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
Opac: Controlla la disponibilità qui
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
Opac: Controlla la disponibilità qui
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
Opac: Controlla la disponibilità qui
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
Opac: Controlla la disponibilità qui
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
Opac: Controlla la disponibilità qui
Data quality and high-dimensional data analysis : proceedings of the DASFAA 2008 workshops / / editors: Chee-yong, Chan, ... [et al.]
Data quality and high-dimensional data analysis : proceedings of the DASFAA 2008 workshops / / editors: Chee-yong, Chan, ... [et al.]
Edizione [1st ed.]
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-9910821073303321
Singapore ; ; Hackensack, NJ, : World Scientific, c2009
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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
Opac: Controlla la disponibilità qui
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
Opac: Controlla la disponibilità qui
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
Opac: Controlla la disponibilità qui