Data-intensive text processing with MapReduce:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
[San Rafael, Calif.]
Morgan & Claypool
2010
|
| Schriftenreihe: | Synthesis lectures on human language technologies
7 |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Includes bibliographical references |
| Beschreibung: | IX, 165 S. graph. Darst. |
| ISBN: | 9781608453429 9781608453436 |
Internformat
MARC
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| 100 | 1 | |a Lin, Jimmy |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Data-intensive text processing with MapReduce |c Jimmy Lin and Chris Dyer |
| 264 | 1 | |a [San Rafael, Calif.] |b Morgan & Claypool |c 2010 | |
| 300 | |a IX, 165 S. |b graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 1 | |a Synthesis lectures on human language technologies |v 7 | |
| 500 | |a Includes bibliographical references | ||
| 650 | 4 | |a Database management | |
| 650 | 4 | |a Cloud computing / Programming | |
| 650 | 4 | |a Parallel processing (Electronic computers) / Programming | |
| 650 | 4 | |a Electronic data processing / Distributed processing / Programming | |
| 650 | 4 | |a Automatic Data Processing | |
| 650 | 4 | |a Datenverarbeitung | |
| 650 | 0 | 7 | |a Natürlichsprachiges System |0 (DE-588)4284757-6 |2 gnd |9 rswk-swf |
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| 650 | 0 | 7 | |a Verteiltes System |0 (DE-588)4238872-7 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Information Retrieval |0 (DE-588)4072803-1 |2 gnd |9 rswk-swf |
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| 999 | |a oai:aleph.bib-bvb.de:BVB01-020514131 | ||
Datensatz im Suchindex
| _version_ | 1804143191617699840 |
|---|---|
| adam_text | Coîitents
Acknowledgments
...........................................................xi
Introduction
.................................................................1
1.1
Computing in the Clouds
...................................................6
1.2
Big Ideas
..................................................................8
1.3
Why Is This Different?
....................................................13
1.4
What This Book Is Not
....................................................15
MapReduce Basics
..........................................................17
2.1
Functional Programming Roots
.............................................18
2.2
Mappers and Reducers
.....................................................20
2.3
The Execution Framework
.................................................24
2.4
Partitioners and Combiners
.................................................26
2.5
The Distributed File System
................................................28
2.6
Hadoop Cluster Architecture
...............................................33
2.7
Summary
.................................................................34
MapReduce Algorithm Design
...............................................37
3.1
Local Aggregation
.........................................................39
3.1.1
Combiners and In-Mapper Combining
................................39
3.1.2
Algorithmic Correctness with Local Aggregation
.......................43
3.2
Pairs and Stripes
...........................................................47
3.3
Computing Relative Frequencies
............................................52
3.4
Secondary Sorting
.........................................................57
3.5
Relational Joins
...........................................................58
3.5.1
Reduce-Side Join
....................................................60
3.5.2
Map-Side Join
......................................................62
VIU
3.5.3
Memory-Backed Join
................................................63
3.6
Summary
.................................................................63
4
Inverted Indexing for Text Retrieval
..........................................65
4.1
Web Crawling
............................................................66
4.2
Inverted Indexes
...........................................................68
4.3
Inverted Indexing: Baseline Implementation
.................................69
4.4
Inverted Indexing: Revised Implementation
..................................72
4.5
Index Compression
........................................................74
4.5.1
Byte-Aligned and Word-Aligned Codes
...............................75
4.5.2
Bit-Aligned Codes
..................................................76
4.5.3
Postings Compression
...............................................78
4.6
What About Retrieval?
....................................................80
4.7
Summary and Additional Readings
..........................................83
5
Graph Algorithms
...........................................................85
5.1
Graph Representations
.....................................................87
5.2
Parallel Breadth-First Search
...............................................88
5.3
PageRank
.................................................................95
5.4
Issues with Graph Processing
..............................................100
5.5
Summary and Additional Readings
........................................102
6
EM Algorithms for Text Processing
.........................................105
6.1
Expectation Maximization
................................................108
6.1.1
Maximum Likelihood Estimation
...................................108
6.1.2
A Latent Variable Marble Game
.....................................110
6.1.3
MLE with Latent variables
.........................................
Ill
6.1.4
Expectation Maximization
..........................................112
6.1.5
An EM Example
...................................................113
6.2
Hidden Markov Models
..................................................114
6.2.1
Three Questions for Hidden Markov Models
.........................115
CONTENTS ix
6.2.2
The Forward Algorithm
............................................117
6.2.3
The Viterbi Algorithm
.............................................118
6.2.4
Parameter Estimation for HMMs
...................................120
6.2.5
Forward-Backward Training: Summary
..............................125
6.3
EM in MapReduce
.......................................................125
6.3.1
HMM
Training in MapReduce
......................................126
6.4
Case Study: Word Alignment for Statistical Machine Translation
.............130
6.4.1
Statistical Phrase-Based Translation
..................................131
6.4.2
Brief Digression: Language Modeling with MapReduce
...............133
6.4.3
Word Alignment
...................................................134
6.4.4
Experiments
.......................................................135
6.5
EM-Like Algorithms
.....................................................138
6.5.1
Gradient-Based Optimization and Log-Linear Models
................138
6.6
Summary and Additional Readings
........................................141
Closing Remarks
...........................................................143
7.1
Limitations of MapReduce
................................................143
7.2
Alternative Computing Paradigms
.........................................145
7.3
MapReduce and Beyond
..................................................146
Bibliography
...............................................................149
Authors Biographies
.......................................................165
|
| any_adam_object | 1 |
| author | Lin, Jimmy |
| author_facet | Lin, Jimmy |
| author_role | aut |
| author_sort | Lin, Jimmy |
| author_variant | j l jl |
| building | Verbundindex |
| bvnumber | BV036593470 |
| classification_rvk | ST 270 |
| ctrlnum | (OCoLC)705706098 (DE-599)BVBBV036593470 |
| discipline | Informatik |
| format | Book |
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| id | DE-604.BV036593470 |
| illustrated | Illustrated |
| indexdate | 2024-07-09T22:43:44Z |
| institution | BVB |
| isbn | 9781608453429 9781608453436 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-020514131 |
| oclc_num | 705706098 |
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| owner | DE-19 DE-BY-UBM DE-859 DE-739 DE-2070s |
| owner_facet | DE-19 DE-BY-UBM DE-859 DE-739 DE-2070s |
| physical | IX, 165 S. graph. Darst. |
| publishDate | 2010 |
| publishDateSearch | 2010 |
| publishDateSort | 2010 |
| publisher | Morgan & Claypool |
| record_format | marc |
| series | Synthesis lectures on human language technologies |
| series2 | Synthesis lectures on human language technologies |
| spelling | Lin, Jimmy Verfasser aut Data-intensive text processing with MapReduce Jimmy Lin and Chris Dyer [San Rafael, Calif.] Morgan & Claypool 2010 IX, 165 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Synthesis lectures on human language technologies 7 Includes bibliographical references Database management Cloud computing / Programming Parallel processing (Electronic computers) / Programming Electronic data processing / Distributed processing / Programming Automatic Data Processing Datenverarbeitung Natürlichsprachiges System (DE-588)4284757-6 gnd rswk-swf Parallelverarbeitung (DE-588)4075860-6 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Hadoop (DE-588)1022420135 gnd rswk-swf Verteiltes System (DE-588)4238872-7 gnd rswk-swf Information Retrieval (DE-588)4072803-1 gnd rswk-swf Parallelverarbeitung (DE-588)4075860-6 s Hadoop (DE-588)1022420135 s Verteiltes System (DE-588)4238872-7 s Natürlichsprachiges System (DE-588)4284757-6 s Information Retrieval (DE-588)4072803-1 s Maschinelles Lernen (DE-588)4193754-5 s DE-604 Dyer, Chris Sonstige oth Synthesis lectures on human language technologies 7 (DE-604)BV035447238 7 Digitalisierung UB Passau application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=020514131&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Lin, Jimmy Data-intensive text processing with MapReduce Synthesis lectures on human language technologies Database management Cloud computing / Programming Parallel processing (Electronic computers) / Programming Electronic data processing / Distributed processing / Programming Automatic Data Processing Datenverarbeitung Natürlichsprachiges System (DE-588)4284757-6 gnd Parallelverarbeitung (DE-588)4075860-6 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Hadoop (DE-588)1022420135 gnd Verteiltes System (DE-588)4238872-7 gnd Information Retrieval (DE-588)4072803-1 gnd |
| subject_GND | (DE-588)4284757-6 (DE-588)4075860-6 (DE-588)4193754-5 (DE-588)1022420135 (DE-588)4238872-7 (DE-588)4072803-1 |
| title | Data-intensive text processing with MapReduce |
| title_auth | Data-intensive text processing with MapReduce |
| title_exact_search | Data-intensive text processing with MapReduce |
| title_full | Data-intensive text processing with MapReduce Jimmy Lin and Chris Dyer |
| title_fullStr | Data-intensive text processing with MapReduce Jimmy Lin and Chris Dyer |
| title_full_unstemmed | Data-intensive text processing with MapReduce Jimmy Lin and Chris Dyer |
| title_short | Data-intensive text processing with MapReduce |
| title_sort | data intensive text processing with mapreduce |
| topic | Database management Cloud computing / Programming Parallel processing (Electronic computers) / Programming Electronic data processing / Distributed processing / Programming Automatic Data Processing Datenverarbeitung Natürlichsprachiges System (DE-588)4284757-6 gnd Parallelverarbeitung (DE-588)4075860-6 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Hadoop (DE-588)1022420135 gnd Verteiltes System (DE-588)4238872-7 gnd Information Retrieval (DE-588)4072803-1 gnd |
| topic_facet | Database management Cloud computing / Programming Parallel processing (Electronic computers) / Programming Electronic data processing / Distributed processing / Programming Automatic Data Processing Datenverarbeitung Natürlichsprachiges System Parallelverarbeitung Maschinelles Lernen Hadoop Verteiltes System Information Retrieval |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=020514131&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV035447238 |
| work_keys_str_mv | AT linjimmy dataintensivetextprocessingwithmapreduce AT dyerchris dataintensivetextprocessingwithmapreduce |