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Elementary cluster analysis : four basic methods that (usually) work / / James C. Bezdek
| Elementary cluster analysis : four basic methods that (usually) work / / James C. Bezdek |
| Autore | Bezdek James C. <1939-> |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Gistrup, Denmark ; ; London ; ; New York, New York : , : River Publishers : , : Routledge, , [2022] |
| Descrizione fisica | 1 online resource (518 pages) |
| Disciplina | 519.53 |
| Collana | River Publishers series in mathematical and engineering sciences |
| Soggetto topico |
Cluster analysis - Data processing
Statistics - Data processing Algorithms |
| ISBN |
1-000-79166-1
1-00-333808-9 1-003-33808-9 1-000-79478-4 87-7022-424-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910794625403321 |
Bezdek James C. <1939->
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| Gistrup, Denmark ; ; London ; ; New York, New York : , : River Publishers : , : Routledge, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Elementary cluster analysis : four basic methods that (usually) work / / James C. Bezdek
| Elementary cluster analysis : four basic methods that (usually) work / / James C. Bezdek |
| Autore | Bezdek James C. <1939-> |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Gistrup, Denmark ; ; London ; ; New York, New York : , : River Publishers : , : Routledge, , [2022] |
| Descrizione fisica | 1 online resource (518 pages) |
| Disciplina | 519.53 |
| Collana | River Publishers series in mathematical and engineering sciences |
| Soggetto topico |
Cluster analysis - Data processing
Statistics - Data processing Algorithms |
| ISBN |
1-000-79166-1
1-00-333808-9 1-003-33808-9 1-000-79478-4 87-7022-424-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910817061803321 |
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Bezdek James C. <1939->
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||
| Gistrup, Denmark ; ; London ; ; New York, New York : , : River Publishers : , : Routledge, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Graph-based clustering and data visualization algorithms / / Agnes Vathy-Fogarassy, Janos Abonyi
| Graph-based clustering and data visualization algorithms / / Agnes Vathy-Fogarassy, Janos Abonyi |
| Autore | Vathy-Fogarassy Ágnes |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | New York : , : Springer, , 2013 |
| Descrizione fisica | 1 online resource (xiii, 110 pages) : illustrations (some color) |
| Disciplina | 006.601 |
| Collana | SpringerBriefs in Computer Science |
| Soggetto topico |
Data mining
Cluster analysis - Data processing Graph algorithms |
| ISBN | 1-4471-5158-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Vector Quantisation and Topology-Based Graph Representation -- Graph-Based Clustering Algorithms -- Graph-Based Visualisation of High-Dimensional Data. |
| Record Nr. | UNINA-9910741141503321 |
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Vathy-Fogarassy Ágnes
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| New York : , : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Instant MapReduce patterns - Hadoop essentials how-to [[electronic resource] ] : practical recipes to write your own MapReduce solution patterns for Hadoop programs / / Srinath Perera
| Instant MapReduce patterns - Hadoop essentials how-to [[electronic resource] ] : practical recipes to write your own MapReduce solution patterns for Hadoop programs / / Srinath Perera |
| Autore | Perera Srinath |
| Pubbl/distr/stampa | Birmingham, : Packt Pub., 2013 |
| Descrizione fisica | 1 online resource (60 p.) |
| Disciplina | 005.4 |
| Soggetto topico |
Electronic data processing - Distributed processing
Cluster analysis - Data processing Software patterns |
| Soggetto genere / forma | Electronic books. |
| ISBN | 1-78216-771-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Copyright; Credits; About the Author; About the Reviewer; www.PacktPub.com; Table of Contents; Preface; Instant MapReduce Patterns - Hadoop Essentials How-to; Writing a word count application using Java (Simple); Writing a word count application with MapReduce and running it (Simple); Installing Hadoop in a distributed setup and running a word count application (Simple); Writing a formatter (Intermediate); Analytics - drawing a frequency distribution with MapReduce (Intermediate); Relational operations - join two datasets with MapReduce (Advanced)
Set operations with MapReduce (Intermediate)Cross correlation with MapReduce (Intermediate); Simple search with MapReduce (Intermediate); Simple graph operations with MapReduce (Advanced); Kmeans with MapReduce (Advanced) |
| Altri titoli varianti | MapReduce patterns - Hadoop essentials how-to |
| Record Nr. | UNINA-9910465593103321 |
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Perera Srinath
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| Birmingham, : Packt Pub., 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Instant MapReduce patterns - Hadoop essentials how-to [[electronic resource] ] : practical recipes to write your own MapReduce solution patterns for Hadoop programs / / Srinath Perera
| Instant MapReduce patterns - Hadoop essentials how-to [[electronic resource] ] : practical recipes to write your own MapReduce solution patterns for Hadoop programs / / Srinath Perera |
| Autore | Perera Srinath |
| Pubbl/distr/stampa | Birmingham, : Packt Pub., 2013 |
| Descrizione fisica | 1 online resource (60 p.) |
| Disciplina | 005.4 |
| Soggetto topico |
Electronic data processing - Distributed processing
Cluster analysis - Data processing Software patterns |
| ISBN | 1-78216-771-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Copyright; Credits; About the Author; About the Reviewer; www.PacktPub.com; Table of Contents; Preface; Instant MapReduce Patterns - Hadoop Essentials How-to; Writing a word count application using Java (Simple); Writing a word count application with MapReduce and running it (Simple); Installing Hadoop in a distributed setup and running a word count application (Simple); Writing a formatter (Intermediate); Analytics - drawing a frequency distribution with MapReduce (Intermediate); Relational operations - join two datasets with MapReduce (Advanced)
Set operations with MapReduce (Intermediate)Cross correlation with MapReduce (Intermediate); Simple search with MapReduce (Intermediate); Simple graph operations with MapReduce (Advanced); Kmeans with MapReduce (Advanced) |
| Altri titoli varianti | MapReduce patterns - Hadoop essentials how-to |
| Record Nr. | UNINA-9910792174603321 |
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Perera Srinath
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||
| Birmingham, : Packt Pub., 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Instant MapReduce patterns - Hadoop essentials how-to : practical recipes to write your own MapReduce solution patterns for Hadoop programs / / Srinath Perera
| Instant MapReduce patterns - Hadoop essentials how-to : practical recipes to write your own MapReduce solution patterns for Hadoop programs / / Srinath Perera |
| Autore | Perera Srinath |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Birmingham, : Packt Pub., 2013 |
| Descrizione fisica | 1 online resource (60 p.) |
| Disciplina | 005.4 |
| Soggetto topico |
Electronic data processing - Distributed processing
Cluster analysis - Data processing Software patterns |
| ISBN | 1-78216-771-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Copyright; Credits; About the Author; About the Reviewer; www.PacktPub.com; Table of Contents; Preface; Instant MapReduce Patterns - Hadoop Essentials How-to; Writing a word count application using Java (Simple); Writing a word count application with MapReduce and running it (Simple); Installing Hadoop in a distributed setup and running a word count application (Simple); Writing a formatter (Intermediate); Analytics - drawing a frequency distribution with MapReduce (Intermediate); Relational operations - join two datasets with MapReduce (Advanced)
Set operations with MapReduce (Intermediate)Cross correlation with MapReduce (Intermediate); Simple search with MapReduce (Intermediate); Simple graph operations with MapReduce (Advanced); Kmeans with MapReduce (Advanced) |
| Altri titoli varianti | MapReduce patterns - Hadoop essentials how-to |
| Record Nr. | UNINA-9910815197503321 |
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Perera Srinath
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| Birmingham, : Packt Pub., 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Optimizing hadoop for MapReduce : learn how to configure your hadoop cluster to run optimal MapReduce jobs / / Khaled Tannir ; cover image by Khaled Tannir
| Optimizing hadoop for MapReduce : learn how to configure your hadoop cluster to run optimal MapReduce jobs / / Khaled Tannir ; cover image by Khaled Tannir |
| Autore | Tannir Khaled |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Birmingham, England : , : Packt Publishing Ltd, , 2014 |
| Descrizione fisica | 1 online resource (120 p.) |
| Disciplina | 004.36 |
| Altri autori (Persone) | TannirKhaled |
| Collana | Community experience distilled |
| Soggetto topico |
Electronic data processing - Distributed processing
Cluster analysis - Data processing Open source software |
| Soggetto genere / forma | Electronic books. |
| ISBN | 1-78328-566-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Copyright; Credits; About the Author; Acknowledgments; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Understanding Hadoop MapReduce; The MapReduce model; Overview of Hadoop MapReduce; Hadoop MapReduce internals; Factors affecting the performance of MapReduce; Summary; Chapter 2: An Overview of the Hadoop Parameters; Investigating the Hadoop parameters; The mapred-site.xml configuration file; The CPU-related parameters; The disk I/O related parameters; The memory-related parameters; The network-related parameters; The hdfs-site.xml configuration file
The core-site.xml configuration fileHadoop MapReduce metrics; Performance monitoring tools; Using Chukwa to monitor Hadoop; Using Ganglia to monitor Hadoop; Using Nagios to monitor Hadoop; Using Apache Ambari to monitor Hadoop; Summary; Chapter 3: Detecting System Bottlenecks; Performance tuning; Creating a performance baseline; Identifying resource bottlenecks; Identifying RAM bottlenecks; Identifying CPU bottlenecks; Identifying storage bottlenecks; Identifying network bandwidth bottlenecks; Summary; Chapter 4: Identifying Resource Weaknesses; Identifying cluster weakness Checking the Hadoop cluster node's healthChecking the input data size; Checking massive I/O and network traffic; Checking for insufficient concurrent tasks; Checking for CPU contention; Sizing your Hadoop cluster; Configuring your cluster correctly; Summary; Chapter 5: Enhancement of Map and Reduce Tasks; Enhancing Map tasks; Input data and block size impact; Dealing with small and unsplittable files; Reducing spilled records during the Map phase; Calculating map tasks' throughput; Enhancing Reduce tasks; Calculating reduce task throughput; Improving Reduce execution phase Tuning map and reduce parametersSummary; Chapter 6: Optimizing MapReduce Tasks; Using Combiners; Using compression; Using appropriate Writable types; Reusing types smartly; Optimizing mappers and reducers code; Summary; Chapter 7: Best Practices and Recommendations; Hardware tuning and OS recommendations; Hadoop cluster checklists; The Bios tuning checklist; OS configuration recommendations; Hadoop best practices and recommendations; Deploying Hadoop; Hadoop tuning recommendations; Using a MapReduce template class code; Summary; Index |
| Record Nr. | UNINA-9910463712203321 |
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Tannir Khaled
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||
| Birmingham, England : , : Packt Publishing Ltd, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Optimizing hadoop for MapReduce : learn how to configure your hadoop cluster to run optimal MapReduce jobs / / Khaled Tannir ; cover image by Khaled Tannir
| Optimizing hadoop for MapReduce : learn how to configure your hadoop cluster to run optimal MapReduce jobs / / Khaled Tannir ; cover image by Khaled Tannir |
| Autore | Tannir Khaled |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Birmingham, England : , : Packt Publishing Ltd, , 2014 |
| Descrizione fisica | 1 online resource (120 p.) |
| Disciplina | 004.36 |
| Altri autori (Persone) | TannirKhaled |
| Collana | Community experience distilled |
| Soggetto topico |
Electronic data processing - Distributed processing
Cluster analysis - Data processing Open source software |
| ISBN | 1-78328-566-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Copyright; Credits; About the Author; Acknowledgments; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Understanding Hadoop MapReduce; The MapReduce model; Overview of Hadoop MapReduce; Hadoop MapReduce internals; Factors affecting the performance of MapReduce; Summary; Chapter 2: An Overview of the Hadoop Parameters; Investigating the Hadoop parameters; The mapred-site.xml configuration file; The CPU-related parameters; The disk I/O related parameters; The memory-related parameters; The network-related parameters; The hdfs-site.xml configuration file
The core-site.xml configuration fileHadoop MapReduce metrics; Performance monitoring tools; Using Chukwa to monitor Hadoop; Using Ganglia to monitor Hadoop; Using Nagios to monitor Hadoop; Using Apache Ambari to monitor Hadoop; Summary; Chapter 3: Detecting System Bottlenecks; Performance tuning; Creating a performance baseline; Identifying resource bottlenecks; Identifying RAM bottlenecks; Identifying CPU bottlenecks; Identifying storage bottlenecks; Identifying network bandwidth bottlenecks; Summary; Chapter 4: Identifying Resource Weaknesses; Identifying cluster weakness Checking the Hadoop cluster node's healthChecking the input data size; Checking massive I/O and network traffic; Checking for insufficient concurrent tasks; Checking for CPU contention; Sizing your Hadoop cluster; Configuring your cluster correctly; Summary; Chapter 5: Enhancement of Map and Reduce Tasks; Enhancing Map tasks; Input data and block size impact; Dealing with small and unsplittable files; Reducing spilled records during the Map phase; Calculating map tasks' throughput; Enhancing Reduce tasks; Calculating reduce task throughput; Improving Reduce execution phase Tuning map and reduce parametersSummary; Chapter 6: Optimizing MapReduce Tasks; Using Combiners; Using compression; Using appropriate Writable types; Reusing types smartly; Optimizing mappers and reducers code; Summary; Chapter 7: Best Practices and Recommendations; Hardware tuning and OS recommendations; Hadoop cluster checklists; The Bios tuning checklist; OS configuration recommendations; Hadoop best practices and recommendations; Deploying Hadoop; Hadoop tuning recommendations; Using a MapReduce template class code; Summary; Index |
| Record Nr. | UNINA-9910787862903321 |
|
Tannir Khaled
|
||
| Birmingham, England : , : Packt Publishing Ltd, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Optimizing hadoop for MapReduce : learn how to configure your hadoop cluster to run optimal MapReduce jobs / / Khaled Tannir ; cover image by Khaled Tannir
| Optimizing hadoop for MapReduce : learn how to configure your hadoop cluster to run optimal MapReduce jobs / / Khaled Tannir ; cover image by Khaled Tannir |
| Autore | Tannir Khaled |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Birmingham, England : , : Packt Publishing Ltd, , 2014 |
| Descrizione fisica | 1 online resource (120 p.) |
| Disciplina | 004.36 |
| Altri autori (Persone) | TannirKhaled |
| Collana | Community experience distilled |
| Soggetto topico |
Electronic data processing - Distributed processing
Cluster analysis - Data processing Open source software |
| ISBN | 1-78328-566-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Copyright; Credits; About the Author; Acknowledgments; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Understanding Hadoop MapReduce; The MapReduce model; Overview of Hadoop MapReduce; Hadoop MapReduce internals; Factors affecting the performance of MapReduce; Summary; Chapter 2: An Overview of the Hadoop Parameters; Investigating the Hadoop parameters; The mapred-site.xml configuration file; The CPU-related parameters; The disk I/O related parameters; The memory-related parameters; The network-related parameters; The hdfs-site.xml configuration file
The core-site.xml configuration fileHadoop MapReduce metrics; Performance monitoring tools; Using Chukwa to monitor Hadoop; Using Ganglia to monitor Hadoop; Using Nagios to monitor Hadoop; Using Apache Ambari to monitor Hadoop; Summary; Chapter 3: Detecting System Bottlenecks; Performance tuning; Creating a performance baseline; Identifying resource bottlenecks; Identifying RAM bottlenecks; Identifying CPU bottlenecks; Identifying storage bottlenecks; Identifying network bandwidth bottlenecks; Summary; Chapter 4: Identifying Resource Weaknesses; Identifying cluster weakness Checking the Hadoop cluster node's healthChecking the input data size; Checking massive I/O and network traffic; Checking for insufficient concurrent tasks; Checking for CPU contention; Sizing your Hadoop cluster; Configuring your cluster correctly; Summary; Chapter 5: Enhancement of Map and Reduce Tasks; Enhancing Map tasks; Input data and block size impact; Dealing with small and unsplittable files; Reducing spilled records during the Map phase; Calculating map tasks' throughput; Enhancing Reduce tasks; Calculating reduce task throughput; Improving Reduce execution phase Tuning map and reduce parametersSummary; Chapter 6: Optimizing MapReduce Tasks; Using Combiners; Using compression; Using appropriate Writable types; Reusing types smartly; Optimizing mappers and reducers code; Summary; Chapter 7: Best Practices and Recommendations; Hardware tuning and OS recommendations; Hadoop cluster checklists; The Bios tuning checklist; OS configuration recommendations; Hadoop best practices and recommendations; Deploying Hadoop; Hadoop tuning recommendations; Using a MapReduce template class code; Summary; Index |
| Record Nr. | UNINA-9910807369703321 |
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Tannir Khaled
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| Birmingham, England : , : Packt Publishing Ltd, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Recent advances in hybrid metaheuristics for data clustering / / edited by Sourav De, Sandip Dey, Siddhartha Bhattacharyya
| Recent advances in hybrid metaheuristics for data clustering / / edited by Sourav De, Sandip Dey, Siddhartha Bhattacharyya |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , [2020] |
| Descrizione fisica | 1 online resource (199 pages) |
| Disciplina | 519.53 |
| Soggetto topico |
Cluster analysis - Data processing
Metaheuristics |
| ISBN |
1-119-55161-7
1-119-55160-9 1-119-55162-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910555078203321 |
| Hoboken, New Jersey : , : Wiley, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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