Practical text mining and statistical analysis for non-structured text data applications /:
"The world contains an unimaginably vast amount of digital information which is getting ever vaster ever more rapidly. This makes it possible to do many things that previously could not be done: spot business trends, prevent diseases, combat crime and so on. Managed well, the textual data can b...
Gespeichert in:
| Weitere Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Amsterdam :
Academic Press,
2012.
|
| Ausgabe: | 1st ed. |
| Schriftenreihe: | Online access with subscription: Proquest Ebook Central.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "The world contains an unimaginably vast amount of digital information which is getting ever vaster ever more rapidly. This makes it possible to do many things that previously could not be done: spot business trends, prevent diseases, combat crime and so on. Managed well, the textual data can be used to unlock new sources of economic value, provide fresh insights into science and hold governments to account. As the Internet expands and our natural capacity to process the unstructured text that it contains diminishes, the value of text mining for information retrieval and search will increase dramatically. This comprehensive professional reference brings together all the information, tools and methods a professional will need to efficiently use text mining applications and statistical analysis. The Handbook of Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications presents a comprehensive how- to reference that shows the user how to conduct text mining and statistically analyze results. In addition to providing an in-depth examination of core text mining and link detection tools, methods and operations, the book examines advanced preprocessing techniques, knowledge representation considerations, and visualization approaches. Finally, the book explores current real-world, mission-critical applications of text mining and link detection using real world example tutorials in such varied fields as corporate, finance, business intelligence, genomics research, and counterterrorism activities"-- |
| Beschreibung: | 1 online resource (xl, 1053 pages) : illustrations (some color) |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9780123870117 0123870119 1283396254 9781283396257 9786613396259 6613396257 |
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| 250 | |a 1st ed. | ||
| 260 | |a Amsterdam : |b Academic Press, |c 2012. | ||
| 300 | |a 1 online resource (xl, 1053 pages) : |b illustrations (some color) | ||
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| 504 | |a Includes bibliographical references and index. | ||
| 520 | |a "The world contains an unimaginably vast amount of digital information which is getting ever vaster ever more rapidly. This makes it possible to do many things that previously could not be done: spot business trends, prevent diseases, combat crime and so on. Managed well, the textual data can be used to unlock new sources of economic value, provide fresh insights into science and hold governments to account. As the Internet expands and our natural capacity to process the unstructured text that it contains diminishes, the value of text mining for information retrieval and search will increase dramatically. This comprehensive professional reference brings together all the information, tools and methods a professional will need to efficiently use text mining applications and statistical analysis. The Handbook of Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications presents a comprehensive how- to reference that shows the user how to conduct text mining and statistically analyze results. In addition to providing an in-depth examination of core text mining and link detection tools, methods and operations, the book examines advanced preprocessing techniques, knowledge representation considerations, and visualization approaches. Finally, the book explores current real-world, mission-critical applications of text mining and link detection using real world example tutorials in such varied fields as corporate, finance, business intelligence, genomics research, and counterterrorism activities"-- |c Provided by publisher. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a Preface: What is TM and what it can do for you Introduction: How to use this book, and chapter summaries Part I: History, Process and Applications of Text Mining; Part II: Tutorials Part III: Areas of Technical Focus in Text Mining Part V: Text Mining Practice and Prospect: The Right Model for the Right Purpose, Summary, and the Future of TM. | |
| 542 | |f Copyright: Elsevier Science & Technology |g 2012 | ||
| 542 | |f Copyright ©: Elsevier Science & Technology |g 2012 | ||
| 546 | |a English. | ||
| 650 | 0 | |a Data mining. |0 http://id.loc.gov/authorities/subjects/sh97002073 | |
| 650 | 6 | |a Exploration de données (Informatique) | |
| 650 | 7 | |a COMPUTERS |x Database Management |x Data Mining. |2 bisacsh | |
| 650 | 7 | |a Data mining |2 fast | |
| 700 | 1 | |a Miner, Gary. |0 http://id.loc.gov/authorities/names/n88045681 | |
| 758 | |i has work: |a Practical text mining and statistical analysis for non-structured text data applications (Text) |1 https://id.oclc.org/worldcat/entity/E39PCGtR96BDYYj7MDJmBHQ7RC |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |t Practical text mining and statistical analysis for non-structured text data applications. |b 1st ed. |d Amsterdam : Academic Press, 2012 |w (DLC) 2011036169 |
| 830 | 0 | |a Online access with subscription: Proquest Ebook Central. | |
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| contents | Preface: What is TM and what it can do for you Introduction: How to use this book, and chapter summaries Part I: History, Process and Applications of Text Mining; Part II: Tutorials Part III: Areas of Technical Focus in Text Mining Part V: Text Mining Practice and Prospect: The Right Model for the Right Purpose, Summary, and the Future of TM. |
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| dewey-raw | 006.3/12 |
| dewey-search | 006.3/12 |
| dewey-sort | 16.3 212 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| edition | 1st ed. |
| format | Electronic eBook |
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| indexdate | 2024-11-27T13:18:21Z |
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| record_format | marc |
| series | Online access with subscription: Proquest Ebook Central. |
| spelling | Practical text mining and statistical analysis for non-structured text data applications / Gary Miner [and others] ; major guest authors, Jennifer Thompson [and others]. 1st ed. Amsterdam : Academic Press, 2012. 1 online resource (xl, 1053 pages) : illustrations (some color) text txt rdacontent computer c rdamedia online resource cr rdacarrier text file Includes bibliographical references and index. "The world contains an unimaginably vast amount of digital information which is getting ever vaster ever more rapidly. This makes it possible to do many things that previously could not be done: spot business trends, prevent diseases, combat crime and so on. Managed well, the textual data can be used to unlock new sources of economic value, provide fresh insights into science and hold governments to account. As the Internet expands and our natural capacity to process the unstructured text that it contains diminishes, the value of text mining for information retrieval and search will increase dramatically. This comprehensive professional reference brings together all the information, tools and methods a professional will need to efficiently use text mining applications and statistical analysis. The Handbook of Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications presents a comprehensive how- to reference that shows the user how to conduct text mining and statistically analyze results. In addition to providing an in-depth examination of core text mining and link detection tools, methods and operations, the book examines advanced preprocessing techniques, knowledge representation considerations, and visualization approaches. Finally, the book explores current real-world, mission-critical applications of text mining and link detection using real world example tutorials in such varied fields as corporate, finance, business intelligence, genomics research, and counterterrorism activities"-- Provided by publisher. Print version record. Preface: What is TM and what it can do for you Introduction: How to use this book, and chapter summaries Part I: History, Process and Applications of Text Mining; Part II: Tutorials Part III: Areas of Technical Focus in Text Mining Part V: Text Mining Practice and Prospect: The Right Model for the Right Purpose, Summary, and the Future of TM. Copyright: Elsevier Science & Technology 2012 Copyright ©: Elsevier Science & Technology 2012 English. Data mining. http://id.loc.gov/authorities/subjects/sh97002073 Exploration de données (Informatique) COMPUTERS Database Management Data Mining. bisacsh Data mining fast Miner, Gary. http://id.loc.gov/authorities/names/n88045681 has work: Practical text mining and statistical analysis for non-structured text data applications (Text) https://id.oclc.org/worldcat/entity/E39PCGtR96BDYYj7MDJmBHQ7RC https://id.oclc.org/worldcat/ontology/hasWork Print version: Practical text mining and statistical analysis for non-structured text data applications. 1st ed. Amsterdam : Academic Press, 2012 (DLC) 2011036169 Online access with subscription: Proquest Ebook Central. FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=453840 Volltext |
| spellingShingle | Practical text mining and statistical analysis for non-structured text data applications / Online access with subscription: Proquest Ebook Central. Preface: What is TM and what it can do for you Introduction: How to use this book, and chapter summaries Part I: History, Process and Applications of Text Mining; Part II: Tutorials Part III: Areas of Technical Focus in Text Mining Part V: Text Mining Practice and Prospect: The Right Model for the Right Purpose, Summary, and the Future of TM. Data mining. http://id.loc.gov/authorities/subjects/sh97002073 Exploration de données (Informatique) COMPUTERS Database Management Data Mining. bisacsh Data mining fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh97002073 |
| title | Practical text mining and statistical analysis for non-structured text data applications / |
| title_auth | Practical text mining and statistical analysis for non-structured text data applications / |
| title_exact_search | Practical text mining and statistical analysis for non-structured text data applications / |
| title_full | Practical text mining and statistical analysis for non-structured text data applications / Gary Miner [and others] ; major guest authors, Jennifer Thompson [and others]. |
| title_fullStr | Practical text mining and statistical analysis for non-structured text data applications / Gary Miner [and others] ; major guest authors, Jennifer Thompson [and others]. |
| title_full_unstemmed | Practical text mining and statistical analysis for non-structured text data applications / Gary Miner [and others] ; major guest authors, Jennifer Thompson [and others]. |
| title_short | Practical text mining and statistical analysis for non-structured text data applications / |
| title_sort | practical text mining and statistical analysis for non structured text data applications |
| topic | Data mining. http://id.loc.gov/authorities/subjects/sh97002073 Exploration de données (Informatique) COMPUTERS Database Management Data Mining. bisacsh Data mining fast |
| topic_facet | Data mining. Exploration de données (Informatique) COMPUTERS Database Management Data Mining. Data mining |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=453840 |
| work_keys_str_mv | AT minergary practicaltextminingandstatisticalanalysisfornonstructuredtextdataapplications |