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Principles of big data : preparing, sharing, and analyzing complex information / / Jules J. Berman, Ph. D., M.D
Principles of big data : preparing, sharing, and analyzing complex information / / Jules J. Berman, Ph. D., M.D
Autore Berman Jules J
Edizione [1st edition]
Pubbl/distr/stampa Amsterdam, Netherlands, : Elsevier, c2013
Descrizione fisica 1 online resource (xxvi, 261 pages) : illustrations
Disciplina 005.74
Collana Gale eBooks
Soggetto topico Big data
Database management
ISBN 0-12-404724-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; Principles of Big Data: Preparing,Sharing,and Analyzing Complex Information; Copyright; Dedication; Contents; Acknowledgments; Author Biography; Preface; Introduction; Definition of Big Data; Big Data Versus Small Data; Whence Comest Big Data?; The Most Common Purpose of Big Data is to Produce Small Data; Opportunities; Big Data Moves to the Center of the Information Universe; Chapter 1: Providing Structure to Unstructured Data; Background; Machine Translation; Autocoding; Indexing; Term Extraction; Chapter 2: Identification, Deidentification, and Reidentification; Background
Features of an Identifier System Registered Unique Object Identifiers; Really Bad Identifier Methods; Embedding Information in an Identifier: Not Recommended; One-Way Hashes; Use Case: Hospital Registration; Deidentification; Data Scrubbing; Reidentification; Lessons Learned; Chapter 3: Ontologies and Semantics; Background; Classifications, the Simplest of Ontologies; Ontologies, Classes with Multiple Parents; Choosing a Class Model; Introduction to Resource Description Framework Schema; Common Pitfalls in Ontology Development; Chapter 4: Introspection; Background; Knowledge of Self
eXtensible Markup Language Introduction to Meaning; Namespaces and the Aggregation of Meaningful Assertions; Resource Description Framework Triples; Reflection; Use Case: Trusted Time Stamp; Summary; Chapter 5: Data Integration and Software Interoperability; Background; The Committee to Survey Standards; Standard Trajectory; Specifications and Standards; Versioning; Compliance Issues; Interfaces to Big Data Resources; Chapter 6: Immutability and Immortality; Background; Immutability and Identifiers; Data Objects; Legacy Data; Data Born from Data; Reconciling Identifiers across Institutions
Zero-Knowledge Reconciliation The Curator ́s Burden; Chapter 7: Measurement; Background; Counting; Gene Counting; Dealing with Negations; Understanding Your Control; Practical Significance of Measurements; Obsessive-Compulsive Disorder: The Mark of a Great Data Manager; Chapter 8: Simple but Powerful Big Data Techniques; Background; Look At the Data; Data Range; Denominator; Frequency Distributions; Mean and Standard Deviation; Estimation-Only Analyses; Use Case: Watching Data Trends with Google Ngrams; Use Case: Estimating Movie Preferences; Chapter 9: Analysis; Background; Analytic Tasks
Clustering, Classifying, Recommending, and Modeling Clustering Algorithms; Classifier Algorithms; Recommender Algorithms; Modeling Algorithms; Data Reduction; Normalizing and Adjusting Data; Big Data Software: Speed and Scalability; Find Relationships, Not Similarities; Chapter 10: Special Considerations in Big Data Analysis; Background; Theory in Search of Data; Data in Search of a Theory; Overfitting; Bigness Bias; Too Much Data; Fixing Data; Data Subsets in Big Data: Neither Additive nor Transitive; Additional Big Data Pitfalls; Chapter 11: Stepwise Approach to Big Data Analysis; Background
Step 1. A Question Is Formulated
Record Nr. UNINA-9910792476303321
Berman Jules J  
Amsterdam, Netherlands, : Elsevier, c2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Principles of big data : preparing, sharing, and analyzing complex information / / Jules J. Berman, Ph. D., M.D
Principles of big data : preparing, sharing, and analyzing complex information / / Jules J. Berman, Ph. D., M.D
Autore Berman Jules J
Edizione [1st edition]
Pubbl/distr/stampa Amsterdam, Netherlands, : Elsevier, c2013
Descrizione fisica 1 online resource (xxvi, 261 pages) : illustrations
Disciplina 005.74
Collana Gale eBooks
Soggetto topico Big data
Database management
ISBN 0-12-404724-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; Principles of Big Data: Preparing,Sharing,and Analyzing Complex Information; Copyright; Dedication; Contents; Acknowledgments; Author Biography; Preface; Introduction; Definition of Big Data; Big Data Versus Small Data; Whence Comest Big Data?; The Most Common Purpose of Big Data is to Produce Small Data; Opportunities; Big Data Moves to the Center of the Information Universe; Chapter 1: Providing Structure to Unstructured Data; Background; Machine Translation; Autocoding; Indexing; Term Extraction; Chapter 2: Identification, Deidentification, and Reidentification; Background
Features of an Identifier System Registered Unique Object Identifiers; Really Bad Identifier Methods; Embedding Information in an Identifier: Not Recommended; One-Way Hashes; Use Case: Hospital Registration; Deidentification; Data Scrubbing; Reidentification; Lessons Learned; Chapter 3: Ontologies and Semantics; Background; Classifications, the Simplest of Ontologies; Ontologies, Classes with Multiple Parents; Choosing a Class Model; Introduction to Resource Description Framework Schema; Common Pitfalls in Ontology Development; Chapter 4: Introspection; Background; Knowledge of Self
eXtensible Markup Language Introduction to Meaning; Namespaces and the Aggregation of Meaningful Assertions; Resource Description Framework Triples; Reflection; Use Case: Trusted Time Stamp; Summary; Chapter 5: Data Integration and Software Interoperability; Background; The Committee to Survey Standards; Standard Trajectory; Specifications and Standards; Versioning; Compliance Issues; Interfaces to Big Data Resources; Chapter 6: Immutability and Immortality; Background; Immutability and Identifiers; Data Objects; Legacy Data; Data Born from Data; Reconciling Identifiers across Institutions
Zero-Knowledge Reconciliation The Curator ́s Burden; Chapter 7: Measurement; Background; Counting; Gene Counting; Dealing with Negations; Understanding Your Control; Practical Significance of Measurements; Obsessive-Compulsive Disorder: The Mark of a Great Data Manager; Chapter 8: Simple but Powerful Big Data Techniques; Background; Look At the Data; Data Range; Denominator; Frequency Distributions; Mean and Standard Deviation; Estimation-Only Analyses; Use Case: Watching Data Trends with Google Ngrams; Use Case: Estimating Movie Preferences; Chapter 9: Analysis; Background; Analytic Tasks
Clustering, Classifying, Recommending, and Modeling Clustering Algorithms; Classifier Algorithms; Recommender Algorithms; Modeling Algorithms; Data Reduction; Normalizing and Adjusting Data; Big Data Software: Speed and Scalability; Find Relationships, Not Similarities; Chapter 10: Special Considerations in Big Data Analysis; Background; Theory in Search of Data; Data in Search of a Theory; Overfitting; Bigness Bias; Too Much Data; Fixing Data; Data Subsets in Big Data: Neither Additive nor Transitive; Additional Big Data Pitfalls; Chapter 11: Stepwise Approach to Big Data Analysis; Background
Step 1. A Question Is Formulated
Record Nr. UNINA-9910823184603321
Berman Jules J  
Amsterdam, Netherlands, : Elsevier, c2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Principles of data integration / AnHai Doan, Alon Halevy, Zachary Ives
Principles of data integration / AnHai Doan, Alon Halevy, Zachary Ives
Autore DOAN, AnHai
Pubbl/distr/stampa Waltham, MA : Morgan Kaufmann, 2012
Descrizione fisica XVIII, 497 p. : ill. ; 25 cm
Disciplina 005.73
Altri autori (Persone) HALEVY, Alon
IVES, Zachary
Soggetto topico Elaboratori - Programmazione
Soggetto non controllato Strutture dei dati
ISBN 9780124160446
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-990005947350203316
DOAN, AnHai  
Waltham, MA : Morgan Kaufmann, 2012
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Principles of data integration [[electronic resource] /] / AnHai Doan, Alon Halevy, Zachary Ives
Principles of data integration [[electronic resource] /] / AnHai Doan, Alon Halevy, Zachary Ives
Autore Doan AnHai
Edizione [1st edition]
Pubbl/distr/stampa Waltham, Mass., : Morgan Kaufmann, 2012
Descrizione fisica 1 online resource (521 p.)
Disciplina 005.7/3
Altri autori (Persone) HalevyAlon
IvesZachary G
Soggetto topico Data integration (Computer science)
Soggetto genere / forma Electronic books.
ISBN 1-280-85131-7
9786613711687
0-12-391479-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto pt. 1. Foundational data integration techniques -- pt. 2. Integration with extended data representations -- pt. 3. Novel integration architectures.
Record Nr. UNINA-9910462087603321
Doan AnHai  
Waltham, Mass., : Morgan Kaufmann, 2012
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Principles of data integration [[electronic resource] /] / AnHai Doan, Alon Halevy, Zachary Ives
Principles of data integration [[electronic resource] /] / AnHai Doan, Alon Halevy, Zachary Ives
Autore Doan AnHai
Edizione [1st edition]
Pubbl/distr/stampa Waltham, Mass., : Morgan Kaufmann, 2012
Descrizione fisica 1 online resource (521 p.)
Disciplina 005.7/3
Altri autori (Persone) HalevyAlon
IvesZachary G
Soggetto topico Data integration (Computer science)
ISBN 1-280-85131-7
9786613711687
0-12-391479-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto pt. 1. Foundational data integration techniques -- pt. 2. Integration with extended data representations -- pt. 3. Novel integration architectures.
Record Nr. UNINA-9910790391903321
Doan AnHai  
Waltham, Mass., : Morgan Kaufmann, 2012
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Principles of data integration / / AnHai Doan, Alon Halevy, Zachary Ives
Principles of data integration / / AnHai Doan, Alon Halevy, Zachary Ives
Autore Doan AnHai
Edizione [1st edition]
Pubbl/distr/stampa Waltham, Mass., : Morgan Kaufmann, 2012
Descrizione fisica 1 online resource (521 p.)
Disciplina 005.7/3
005.73
Altri autori (Persone) HalevyAlon
IvesZachary G
Soggetto topico Data integration (Computer science)
ISBN 1-280-85131-7
9786613711687
0-12-391479-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto pt. 1. Foundational data integration techniques -- pt. 2. Integration with extended data representations -- pt. 3. Novel integration architectures.
Record Nr. UNINA-9910815074603321
Doan AnHai  
Waltham, Mass., : Morgan Kaufmann, 2012
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Principles of database query processing for advanced applications / Clement T. Yu, Weiyi Men
Principles of database query processing for advanced applications / Clement T. Yu, Weiyi Men
Autore YU, Clement T.
Pubbl/distr/stampa San Francisco : Morgan Kaufmann, copyr. 1998
Descrizione fisica XVI, 485 p. : ill. ; 22 cm
Disciplina 005.741
Altri autori (Persone) MENG, Weiyi, Weiyi
Collana The Morgan Kaufmann series in data management system
Soggetto topico Archivi di dati - Gestione
ISBN 1-55860-434-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-990000311890203316
YU, Clement T.  
San Francisco : Morgan Kaufmann, copyr. 1998
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Principles of Semantic Networks : Explorations in the Representation of Knowledge / Edited by John F. Sowa
Principles of Semantic Networks : Explorations in the Representation of Knowledge / Edited by John F. Sowa
Autore Sowa, John F.
Pubbl/distr/stampa San Mateo [CA] : Morgan Kaufmann, 1991
Descrizione fisica xi, 582 p. ; 23 cm
Disciplina 510.78
Collana The Morgan Kaufmann Series in Representation and Reasoning
Soggetto non controllato Cibernetica
Teoria dei giochi
Teoria degli automi
Intelligenza artificiale
ISBN 1-55860-088-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-990001363750403321
Sowa, John F.  
San Mateo [CA] : Morgan Kaufmann, 1991
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Probabilistic reasoning in intelligent systems : networks of plausible inference / Judea Pearl
Probabilistic reasoning in intelligent systems : networks of plausible inference / Judea Pearl
Autore Pearl, Judea
Pubbl/distr/stampa San Francisco [Ca.] : Morgan Kaufmann, c1998
Descrizione fisica xix, 552 p. : ill. ; 23 cm
Disciplina 006.3
Collana The Morgan Kaufmann Series in Representation and Reasoning
Soggetto non controllato Intelligenza artificiale
Sistemi intelligenti
Probabilità
ISBN 1-55860-479-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-990001492920403321
Pearl, Judea  
San Francisco [Ca.] : Morgan Kaufmann, c1998
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Probabilistic reasoning in intelligent systems : Networks of Plausible Inference / Judea Pearl
Probabilistic reasoning in intelligent systems : Networks of Plausible Inference / Judea Pearl
Autore Pearl, Judea
Pubbl/distr/stampa Revised 2. printing San Francisco : Morgan Kaufmann, 1988
Descrizione fisica XIX, 552 p. ; 24 cm.
Soggetto topico Intelligenza artificiale
ISBN 15-586-0479-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-SUN0105666
Pearl, Judea  
Revised 2. printing San Francisco : Morgan Kaufmann, 1988
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui