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Biblioteca

MARC Lista (tabellare)
Analysis of longitudinal and cluster-correlated data / / Nan Laird
Analysis of longitudinal and cluster-correlated data / / Nan Laird
Autore Laird Nan M. <1943->
Pubbl/distr/stampa Institute of Mathematical Statistics
Disciplina 519.5/35
Soggetto topico Multivariate analysis - Data processing
Longitudinal method - Data processing
Cluster analysis - Data processing
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910482883103321
Laird Nan M. <1943->  
Institute of Mathematical Statistics
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Big Data Analytics with Hadoop 3 : build highly effective analytics solutions to gain valuable insight into your big data / / Sridhar Alla
Big Data Analytics with Hadoop 3 : build highly effective analytics solutions to gain valuable insight into your big data / / Sridhar Alla
Autore Alla Sridhar
Edizione [1st edition]
Pubbl/distr/stampa Birmingham ; ; Mumbai : , : Packt, , [2018]
Descrizione fisica 1 online resource (482 pages)
Disciplina 005.7
Soggetto topico Big data
Cluster analysis - Data processing
Electronic data processing - Distributed processing
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910794639303321
Alla Sridhar  
Birmingham ; ; Mumbai : , : Packt, , [2018]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Big Data Analytics with Hadoop 3 : build highly effective analytics solutions to gain valuable insight into your big data / / Sridhar Alla
Big Data Analytics with Hadoop 3 : build highly effective analytics solutions to gain valuable insight into your big data / / Sridhar Alla
Autore Alla Sridhar
Edizione [1st edition]
Pubbl/distr/stampa Birmingham ; ; Mumbai : , : Packt, , [2018]
Descrizione fisica 1 online resource (482 pages)
Disciplina 005.7
Soggetto topico Big data
Cluster analysis - Data processing
Electronic data processing - Distributed processing
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910821076303321
Alla Sridhar  
Birmingham ; ; Mumbai : , : Packt, , [2018]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Cluster analysis for corpus linguistics / / by Hermann Moisl
Cluster analysis for corpus linguistics / / by Hermann Moisl
Autore Moisl Hermann <1949->
Pubbl/distr/stampa Berlin ; ; Boston : , : De Gruyter, , [2015]
Descrizione fisica 1 online resource (398 p.)
Disciplina 410.1/880151953
Collana Quantitative linguistics
Soggetto topico Corpora (Linguistics) - Data processing
Cluster analysis - Data processing
Natural language processing (Computer science)
Quantitative linguistics
Computational linguistics
Soggetto genere / forma Electronic books.
ISBN 3-11-036381-X
3-11-039317-4
Classificazione ES 900
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front matter -- Preface -- Contents -- List of figures -- 1. Introduction -- 2. Motivation -- 3. Data -- 4. Cluster -- 5. Hypothesis generation -- 6. Literature Review -- 7. Conclusion -- 8. Appendix -- References -- Subject index
Record Nr. UNINA-9910460186703321
Moisl Hermann <1949->  
Berlin ; ; Boston : , : De Gruyter, , [2015]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Cluster analysis for corpus linguistics / / by Hermann Moisl
Cluster analysis for corpus linguistics / / by Hermann Moisl
Autore Moisl Hermann <1949->
Pubbl/distr/stampa Berlin ; ; Boston : , : De Gruyter, , [2015]
Descrizione fisica 1 online resource (398 p.)
Disciplina 410.1/880151953
Collana Quantitative linguistics
Soggetto topico Corpora (Linguistics) - Data processing
Cluster analysis - Data processing
Natural language processing (Computer science)
Quantitative linguistics
Computational linguistics
Soggetto non controllato Corpus linguistics
cluster analysis
hypothesis generation
quantitative linguistics
ISBN 3-11-036381-X
3-11-039317-4
Classificazione ES 900
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front matter -- Preface -- Contents -- List of figures -- 1. Introduction -- 2. Motivation -- 3. Data -- 4. Cluster -- 5. Hypothesis generation -- 6. Literature Review -- 7. Conclusion -- 8. Appendix -- References -- Subject index
Record Nr. UNINA-9910787416903321
Moisl Hermann <1949->  
Berlin ; ; Boston : , : De Gruyter, , [2015]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Cluster analysis for corpus linguistics / / by Hermann Moisl
Cluster analysis for corpus linguistics / / by Hermann Moisl
Autore Moisl Hermann <1949->
Pubbl/distr/stampa Berlin ; ; Boston : , : De Gruyter, , [2015]
Descrizione fisica 1 online resource (398 p.)
Disciplina 410.1/880151953
Collana Quantitative linguistics
Soggetto topico Corpora (Linguistics) - Data processing
Cluster analysis - Data processing
Natural language processing (Computer science)
Quantitative linguistics
Computational linguistics
Soggetto non controllato Corpus linguistics
cluster analysis
hypothesis generation
quantitative linguistics
ISBN 3-11-036381-X
3-11-039317-4
Classificazione ES 900
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front matter -- Preface -- Contents -- List of figures -- 1. Introduction -- 2. Motivation -- 3. Data -- 4. Cluster -- 5. Hypothesis generation -- 6. Literature Review -- 7. Conclusion -- 8. Appendix -- References -- Subject index
Record Nr. UNINA-9910828168703321
Moisl Hermann <1949->  
Berlin ; ; Boston : , : De Gruyter, , [2015]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Data clustering in C++ : an object-oriented approach / / Guojun Gan
Data clustering in C++ : an object-oriented approach / / Guojun Gan
Autore Gan Guojun <1979, >
Edizione [1st edition]
Pubbl/distr/stampa Boca Raton, Fla. : , : Chapman and Hall/CRC, , 2011
Descrizione fisica 1 online resource (512 p.)
Disciplina 519.5/3
Collana Chapman & Hall/CRC data mining and knowledge discovery series
Soggetto topico Cluster analysis - Data processing
C++ (Computer program language)
Soggetto genere / forma Electronic books.
ISBN 0-429-10978-4
1-4398-6224-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; Dedication; Contents; List of Figures; List of Tables; Preface; I. Data Clustering and C++ Preliminaries; 1. Introduction to Data Clustering; 2. The Unified Modeling Language; 3. Object-Oriented Programming and C++; 4. DesignPatterns; 5. C++ Libraries and Tools; II. A C++ Data Clustering Framework; 6. The Clustering Library; 7. Datasets; 8. Clusters; 9. Dissimilarity Measures; 10. Clustering Algorithms; 11. Utility Classes; III. Data Clustering Algorithms; 12. Agglomerative Hierarchical Algorithms; 13. DIANA; 14. The k-means Algorithm; 15. The c-means Algorithm
16. The k-prototypes Algorithm17. The Genetic k-modes Algorithm; 18. The FSC Algorithm; 19. The Gaussian Mixture Algorithm; 20. A Parallel k-means Algorithm; A. Exercises and Projects; B. Listings; C. Software; Bibliography
Record Nr. UNINA-9910457785103321
Gan Guojun <1979, >  
Boca Raton, Fla. : , : Chapman and Hall/CRC, , 2011
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Data clustering in C++ : an object-oriented approach / / Guojun Gan
Data clustering in C++ : an object-oriented approach / / Guojun Gan
Autore Gan Guojun <1979, >
Edizione [1st edition]
Pubbl/distr/stampa Boca Raton, Fla. : , : Chapman and Hall/CRC, , 2011
Descrizione fisica 1 online resource (512 p.)
Disciplina 519.5/3
Collana Chapman & Hall/CRC data mining and knowledge discovery series
Soggetto topico Cluster analysis - Data processing
C++ (Computer program language)
ISBN 0-429-10978-4
1-4398-6224-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; Dedication; Contents; List of Figures; List of Tables; Preface; I. Data Clustering and C++ Preliminaries; 1. Introduction to Data Clustering; 2. The Unified Modeling Language; 3. Object-Oriented Programming and C++; 4. DesignPatterns; 5. C++ Libraries and Tools; II. A C++ Data Clustering Framework; 6. The Clustering Library; 7. Datasets; 8. Clusters; 9. Dissimilarity Measures; 10. Clustering Algorithms; 11. Utility Classes; III. Data Clustering Algorithms; 12. Agglomerative Hierarchical Algorithms; 13. DIANA; 14. The k-means Algorithm; 15. The c-means Algorithm
16. The k-prototypes Algorithm17. The Genetic k-modes Algorithm; 18. The FSC Algorithm; 19. The Gaussian Mixture Algorithm; 20. A Parallel k-means Algorithm; A. Exercises and Projects; B. Listings; C. Software; Bibliography
Record Nr. UNINA-9910781577303321
Gan Guojun <1979, >  
Boca Raton, Fla. : , : Chapman and Hall/CRC, , 2011
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Data clustering in C++ : an object-oriented approach / / Guojun Gan
Data clustering in C++ : an object-oriented approach / / Guojun Gan
Autore Gan Guojun <1979, >
Edizione [1st edition]
Pubbl/distr/stampa Boca Raton, Fla. : , : Chapman and Hall/CRC, , 2011
Descrizione fisica 1 online resource (512 p.)
Disciplina 519.5/3
Collana Chapman & Hall/CRC data mining and knowledge discovery series
Soggetto topico Cluster analysis - Data processing
C++ (Computer program language)
ISBN 0-429-10978-4
1-4398-6224-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; Dedication; Contents; List of Figures; List of Tables; Preface; I. Data Clustering and C++ Preliminaries; 1. Introduction to Data Clustering; 2. The Unified Modeling Language; 3. Object-Oriented Programming and C++; 4. DesignPatterns; 5. C++ Libraries and Tools; II. A C++ Data Clustering Framework; 6. The Clustering Library; 7. Datasets; 8. Clusters; 9. Dissimilarity Measures; 10. Clustering Algorithms; 11. Utility Classes; III. Data Clustering Algorithms; 12. Agglomerative Hierarchical Algorithms; 13. DIANA; 14. The k-means Algorithm; 15. The c-means Algorithm
16. The k-prototypes Algorithm17. The Genetic k-modes Algorithm; 18. The FSC Algorithm; 19. The Gaussian Mixture Algorithm; 20. A Parallel k-means Algorithm; A. Exercises and Projects; B. Listings; C. Software; Bibliography
Record Nr. UNINA-9910800092703321
Gan Guojun <1979, >  
Boca Raton, Fla. : , : Chapman and Hall/CRC, , 2011
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Data clustering in C++ : an object-oriented approach / / Guojun Gan
Data clustering in C++ : an object-oriented approach / / Guojun Gan
Autore Gan Guojun <1979, >
Edizione [1st edition]
Pubbl/distr/stampa Boca Raton, Fla. : , : Chapman and Hall/CRC, , 2011
Descrizione fisica 1 online resource (512 p.)
Disciplina 519.5/3
Collana Chapman & Hall/CRC data mining and knowledge discovery series
Soggetto topico Cluster analysis - Data processing
C++ (Computer program language)
ISBN 0-429-10978-4
1-4398-6224-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; Dedication; Contents; List of Figures; List of Tables; Preface; I. Data Clustering and C++ Preliminaries; 1. Introduction to Data Clustering; 2. The Unified Modeling Language; 3. Object-Oriented Programming and C++; 4. DesignPatterns; 5. C++ Libraries and Tools; II. A C++ Data Clustering Framework; 6. The Clustering Library; 7. Datasets; 8. Clusters; 9. Dissimilarity Measures; 10. Clustering Algorithms; 11. Utility Classes; III. Data Clustering Algorithms; 12. Agglomerative Hierarchical Algorithms; 13. DIANA; 14. The k-means Algorithm; 15. The c-means Algorithm
16. The k-prototypes Algorithm17. The Genetic k-modes Algorithm; 18. The FSC Algorithm; 19. The Gaussian Mixture Algorithm; 20. A Parallel k-means Algorithm; A. Exercises and Projects; B. Listings; C. Software; Bibliography
Record Nr. UNINA-9910817159803321
Gan Guojun <1979, >  
Boca Raton, Fla. : , : Chapman and Hall/CRC, , 2011
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui