Apache Mahout Cookbook:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham
Packt Publishing
2013
|
| Schlagworte: | |
| Beschreibung: | Print version record |
| Beschreibung: | 1 online resource (250 pages) |
| ISBN: | 9781849518031 1849518033 9781849518024 1849518025 1306280273 9781306280273 |
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| 505 | 8 | |a In Detail The rise of the Internet and social networks has created a new demand for software that can analyze large datasets that can scale up to 10 billion rows. Apache Hadoop has been created to handle such heavy computational tasks. Mahout gained recognition for providing data mining classification algorithms that can be used with such kind of datasets. "Apache Mahout Cookbook" provides a fresh, scope-oriented approach to the Mahout world for both beginners as well as advanced users. The book gives an insight on how to write different data mining algorithms to be used in the Hadoop environment and choose the best one suiting the task in hand. "Apache Mahout Cookbook" looks at the various Mahout algorithms available, and gives the reader a fresh solution-centered approach on how to solve different data mining tasks. The recipes start easy but get progressively complicated. A step-by-step approach will guide the developer in the different tasks involved in mining a huge dataset. | |
| 505 | 8 | |a You will also learn how to code your Mahout's data mining algorithm to determine the best one for a particular task. Coupled with this, a whole chapter is dedicated to loading data into Mahout from an external RDMS system. A lot of attention has also been put on using your data mining algorithm inside your code so as to be able to use it in an Hadoop environment. Theoretical aspects of the algorithms are covered for information purposes, but every chapter is written to allow the developer to get into the code as quickly and smoothly as possible. This means that with every recipe, the book provides the code for reusing it using Maven as well as the Maven Mahout source code. By the end of this book you will be able to code your procedure to do various data mining tasks with different algorithms and to evaluate and choose the best ones for your tasks. | |
| 505 | 8 | |a Approach "Apache Mahout Cookbook" uses over 35 recipes packed with illustrations and real-world examples to help beginners as well as advanced programmers get acquainted with the features of Mahout. Who this book is for "Apache Mahout Cookbook" is great for developers who want to have a fresh and fast introduction to Mahout coding. No previous knowledge of Mahout is required, and even skilled developers or system administrators will benefit from the various recipes presented | |
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| 650 | 7 | |a Computer Science |2 hilcc | |
| 650 | 4 | |a Java (Computer program language) |a Machine learning |a Web site development | |
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Datensatz im Suchindex
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| author | Giacomelli, Piero |
| author_facet | Giacomelli, Piero |
| author_role | aut |
| author_sort | Giacomelli, Piero |
| author_variant | p g pg |
| building | Verbundindex |
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| contents | In Detail The rise of the Internet and social networks has created a new demand for software that can analyze large datasets that can scale up to 10 billion rows. Apache Hadoop has been created to handle such heavy computational tasks. Mahout gained recognition for providing data mining classification algorithms that can be used with such kind of datasets. "Apache Mahout Cookbook" provides a fresh, scope-oriented approach to the Mahout world for both beginners as well as advanced users. The book gives an insight on how to write different data mining algorithms to be used in the Hadoop environment and choose the best one suiting the task in hand. "Apache Mahout Cookbook" looks at the various Mahout algorithms available, and gives the reader a fresh solution-centered approach on how to solve different data mining tasks. The recipes start easy but get progressively complicated. A step-by-step approach will guide the developer in the different tasks involved in mining a huge dataset. You will also learn how to code your Mahout's data mining algorithm to determine the best one for a particular task. Coupled with this, a whole chapter is dedicated to loading data into Mahout from an external RDMS system. A lot of attention has also been put on using your data mining algorithm inside your code so as to be able to use it in an Hadoop environment. Theoretical aspects of the algorithms are covered for information purposes, but every chapter is written to allow the developer to get into the code as quickly and smoothly as possible. This means that with every recipe, the book provides the code for reusing it using Maven as well as the Maven Mahout source code. By the end of this book you will be able to code your procedure to do various data mining tasks with different algorithms and to evaluate and choose the best ones for your tasks. Approach "Apache Mahout Cookbook" uses over 35 recipes packed with illustrations and real-world examples to help beginners as well as advanced programmers get acquainted with the features of Mahout. Who this book is for "Apache Mahout Cookbook" is great for developers who want to have a fresh and fast introduction to Mahout coding. No previous knowledge of Mahout is required, and even skilled developers or system administrators will benefit from the various recipes presented |
| ctrlnum | (ZDB-4-ITC)ocn867317377 (OCoLC)867317377 (DE-599)BVBBV045350458 |
| dewey-full | 006.31 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.31 |
| dewey-search | 006.31 |
| dewey-sort | 16.31 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
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| id | DE-604.BV045350458 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:15:41Z |
| institution | BVB |
| isbn | 9781849518031 1849518033 9781849518024 1849518025 1306280273 9781306280273 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030737112 |
| oclc_num | 867317377 |
| open_access_boolean | |
| physical | 1 online resource (250 pages) |
| psigel | ZDB-4-ITC |
| publishDate | 2013 |
| publishDateSearch | 2013 |
| publishDateSort | 2013 |
| publisher | Packt Publishing |
| record_format | marc |
| spelling | Giacomelli, Piero Verfasser aut Apache Mahout Cookbook Birmingham Packt Publishing 2013 1 online resource (250 pages) txt rdacontent c rdamedia cr rdacarrier Print version record In Detail The rise of the Internet and social networks has created a new demand for software that can analyze large datasets that can scale up to 10 billion rows. Apache Hadoop has been created to handle such heavy computational tasks. Mahout gained recognition for providing data mining classification algorithms that can be used with such kind of datasets. "Apache Mahout Cookbook" provides a fresh, scope-oriented approach to the Mahout world for both beginners as well as advanced users. The book gives an insight on how to write different data mining algorithms to be used in the Hadoop environment and choose the best one suiting the task in hand. "Apache Mahout Cookbook" looks at the various Mahout algorithms available, and gives the reader a fresh solution-centered approach on how to solve different data mining tasks. The recipes start easy but get progressively complicated. A step-by-step approach will guide the developer in the different tasks involved in mining a huge dataset. You will also learn how to code your Mahout's data mining algorithm to determine the best one for a particular task. Coupled with this, a whole chapter is dedicated to loading data into Mahout from an external RDMS system. A lot of attention has also been put on using your data mining algorithm inside your code so as to be able to use it in an Hadoop environment. Theoretical aspects of the algorithms are covered for information purposes, but every chapter is written to allow the developer to get into the code as quickly and smoothly as possible. This means that with every recipe, the book provides the code for reusing it using Maven as well as the Maven Mahout source code. By the end of this book you will be able to code your procedure to do various data mining tasks with different algorithms and to evaluate and choose the best ones for your tasks. Approach "Apache Mahout Cookbook" uses over 35 recipes packed with illustrations and real-world examples to help beginners as well as advanced programmers get acquainted with the features of Mahout. Who this book is for "Apache Mahout Cookbook" is great for developers who want to have a fresh and fast introduction to Mahout coding. No previous knowledge of Mahout is required, and even skilled developers or system administrators will benefit from the various recipes presented English COMPUTERS / General bisacsh Java (Computer program language) fast Machine learning fast Web site development fast Engineering & Applied Sciences hilcc Computer Science hilcc Java (Computer program language) Machine learning Web site development Erscheint auch als Druck-Ausgabe Giacomelli, Piero Apache Mahout Cookbook Birmingham : Packt Publishing, 2013 9781849518024 |
| spellingShingle | Giacomelli, Piero Apache Mahout Cookbook In Detail The rise of the Internet and social networks has created a new demand for software that can analyze large datasets that can scale up to 10 billion rows. Apache Hadoop has been created to handle such heavy computational tasks. Mahout gained recognition for providing data mining classification algorithms that can be used with such kind of datasets. "Apache Mahout Cookbook" provides a fresh, scope-oriented approach to the Mahout world for both beginners as well as advanced users. The book gives an insight on how to write different data mining algorithms to be used in the Hadoop environment and choose the best one suiting the task in hand. "Apache Mahout Cookbook" looks at the various Mahout algorithms available, and gives the reader a fresh solution-centered approach on how to solve different data mining tasks. The recipes start easy but get progressively complicated. A step-by-step approach will guide the developer in the different tasks involved in mining a huge dataset. You will also learn how to code your Mahout's data mining algorithm to determine the best one for a particular task. Coupled with this, a whole chapter is dedicated to loading data into Mahout from an external RDMS system. A lot of attention has also been put on using your data mining algorithm inside your code so as to be able to use it in an Hadoop environment. Theoretical aspects of the algorithms are covered for information purposes, but every chapter is written to allow the developer to get into the code as quickly and smoothly as possible. This means that with every recipe, the book provides the code for reusing it using Maven as well as the Maven Mahout source code. By the end of this book you will be able to code your procedure to do various data mining tasks with different algorithms and to evaluate and choose the best ones for your tasks. Approach "Apache Mahout Cookbook" uses over 35 recipes packed with illustrations and real-world examples to help beginners as well as advanced programmers get acquainted with the features of Mahout. Who this book is for "Apache Mahout Cookbook" is great for developers who want to have a fresh and fast introduction to Mahout coding. No previous knowledge of Mahout is required, and even skilled developers or system administrators will benefit from the various recipes presented COMPUTERS / General bisacsh Java (Computer program language) fast Machine learning fast Web site development fast Engineering & Applied Sciences hilcc Computer Science hilcc Java (Computer program language) Machine learning Web site development |
| title | Apache Mahout Cookbook |
| title_auth | Apache Mahout Cookbook |
| title_exact_search | Apache Mahout Cookbook |
| title_full | Apache Mahout Cookbook |
| title_fullStr | Apache Mahout Cookbook |
| title_full_unstemmed | Apache Mahout Cookbook |
| title_short | Apache Mahout Cookbook |
| title_sort | apache mahout cookbook |
| topic | COMPUTERS / General bisacsh Java (Computer program language) fast Machine learning fast Web site development fast Engineering & Applied Sciences hilcc Computer Science hilcc Java (Computer program language) Machine learning Web site development |
| topic_facet | COMPUTERS / General Java (Computer program language) Machine learning Web site development Engineering & Applied Sciences Computer Science Java (Computer program language) Machine learning Web site development |
| work_keys_str_mv | AT giacomellipiero apachemahoutcookbook |