Modern technologies for big data classification and clustering:
"This book provides an analysis of large data in the field of classification and clustering by presenting algorithms and comparative analysis in the form of their effectiveness and efficiency. It covers topics such as handling large data with conventional data mining, machine learning algorithm...
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :
IGI Global,
[2018]
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "This book provides an analysis of large data in the field of classification and clustering by presenting algorithms and comparative analysis in the form of their effectiveness and efficiency. It covers topics such as handling large data with conventional data mining, machine learning algorithms and information about new technologies, algorithms and platforms developed for handling large data"-- |
| Beschreibung: | 15 PDFs (xxi, 360 pages) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781522528067 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
Internformat
MARC
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| 245 | 0 | 0 | |a Modern technologies for big data classification and clustering |c Hari Seetha, M. Narasimha Murty, and B.K. Tripathy, editors. |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : |b IGI Global, |c [2018] | |
| 300 | |a 15 PDFs (xxi, 360 pages) | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a electronic |2 isbdmedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Chapter 1. Uncertainty-based clustering algorithms for large data sets -- Chapter 2. Sentiment mining approaches for big data classification and clustering -- Chapter 3. Data compaction techniques -- Chapter 4. Methodologies and technologies to retrieve information from text sources -- Chapter 5. Twitter data analysis -- Chapter 6. Use of social network analysis in telecommunication domain -- Chapter 7. A review on spatial big data analytics and visualization -- Chapter 8. A survey on overlapping communities in large-scale social networks -- Chapter 9. A brief study of approaches to text feature selection -- Chapter 10. Biological big data analysis and visualization: a survey. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a "This book provides an analysis of large data in the field of classification and clustering by presenting algorithms and comparative analysis in the form of their effectiveness and efficiency. It covers topics such as handling large data with conventional data mining, machine learning algorithms and information about new technologies, algorithms and platforms developed for handling large data"-- |c Provided by publisher. | |
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | |a Description based on title screen (IGI Global, viewed 07/18/2017). | ||
| 650 | 0 | |a Big data. | |
| 650 | 0 | |a Classification |x Nonbook materials. | |
| 650 | 0 | |a Cluster analysis. | |
| 650 | 0 | |a Data mining. | |
| 650 | 0 | |a Document clustering. | |
| 700 | 1 | |a Murty, M. Narasimha, |e editor. | |
| 700 | 1 | |a Seetha, Hari |d 1970- |e editor. | |
| 700 | 1 | |a Tripathy, B. K. |d 1957- |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
| 776 | 0 | |c (Original) |w (DLC)2017010783 | |
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| 912 | |a ZDB-98-IGB | ||
| 049 | |a DE-863 | ||
Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-98-IGB-00178729 |
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| _version_ | 1816797078688366592 |
| adam_text | |
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| author2 | Murty, M. Narasimha Seetha, Hari 1970- Tripathy, B. K. 1957- |
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| author2_variant | m n m mn mnm h s hs b k t bk bkt |
| author_facet | Murty, M. Narasimha Seetha, Hari 1970- Tripathy, B. K. 1957- |
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| contents | Chapter 1. Uncertainty-based clustering algorithms for large data sets -- Chapter 2. Sentiment mining approaches for big data classification and clustering -- Chapter 3. Data compaction techniques -- Chapter 4. Methodologies and technologies to retrieve information from text sources -- Chapter 5. Twitter data analysis -- Chapter 6. Use of social network analysis in telecommunication domain -- Chapter 7. A review on spatial big data analytics and visualization -- Chapter 8. A survey on overlapping communities in large-scale social networks -- Chapter 9. A brief study of approaches to text feature selection -- Chapter 10. Biological big data analysis and visualization: a survey. |
| ctrlnum | (CaBNVSL)slc19713224 (OCoLC)988619713 |
| dewey-full | 005.7 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 005 - Computer programming, programs, data, security |
| dewey-raw | 005.7 |
| dewey-search | 005.7 |
| dewey-sort | 15.7 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
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| id | ZDB-98-IGB-00178729 |
| illustrated | Not Illustrated |
| indexdate | 2024-11-26T14:51:51Z |
| institution | BVB |
| isbn | 9781522528067 |
| language | English |
| oclc_num | 988619713 |
| open_access_boolean | |
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| owner_facet | DE-863 DE-BY-FWS |
| physical | 15 PDFs (xxi, 360 pages) Also available in print. |
| psigel | ZDB-98-IGB |
| publishDate | 2018 |
| publishDateSearch | 2018 |
| publishDateSort | 2018 |
| publisher | IGI Global, |
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| spelling | Modern technologies for big data classification and clustering Hari Seetha, M. Narasimha Murty, and B.K. Tripathy, editors. Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global, [2018] 15 PDFs (xxi, 360 pages) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Chapter 1. Uncertainty-based clustering algorithms for large data sets -- Chapter 2. Sentiment mining approaches for big data classification and clustering -- Chapter 3. Data compaction techniques -- Chapter 4. Methodologies and technologies to retrieve information from text sources -- Chapter 5. Twitter data analysis -- Chapter 6. Use of social network analysis in telecommunication domain -- Chapter 7. A review on spatial big data analytics and visualization -- Chapter 8. A survey on overlapping communities in large-scale social networks -- Chapter 9. A brief study of approaches to text feature selection -- Chapter 10. Biological big data analysis and visualization: a survey. Restricted to subscribers or individual electronic text purchasers. "This book provides an analysis of large data in the field of classification and clustering by presenting algorithms and comparative analysis in the form of their effectiveness and efficiency. It covers topics such as handling large data with conventional data mining, machine learning algorithms and information about new technologies, algorithms and platforms developed for handling large data"-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 07/18/2017). Big data. Classification Nonbook materials. Cluster analysis. Data mining. Document clustering. Murty, M. Narasimha, editor. Seetha, Hari 1970- editor. Tripathy, B. K. 1957- editor. IGI Global, publisher. (Original) (DLC)2017010783 Print version: 1522528059 9781522528050 (DLC) 2017010783 FWS01 ZDB-98-IGB FWS_PDA_IGB http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-2805-0 Volltext |
| spellingShingle | Modern technologies for big data classification and clustering Chapter 1. Uncertainty-based clustering algorithms for large data sets -- Chapter 2. Sentiment mining approaches for big data classification and clustering -- Chapter 3. Data compaction techniques -- Chapter 4. Methodologies and technologies to retrieve information from text sources -- Chapter 5. Twitter data analysis -- Chapter 6. Use of social network analysis in telecommunication domain -- Chapter 7. A review on spatial big data analytics and visualization -- Chapter 8. A survey on overlapping communities in large-scale social networks -- Chapter 9. A brief study of approaches to text feature selection -- Chapter 10. Biological big data analysis and visualization: a survey. Big data. Classification Nonbook materials. Cluster analysis. Data mining. Document clustering. |
| title | Modern technologies for big data classification and clustering |
| title_auth | Modern technologies for big data classification and clustering |
| title_exact_search | Modern technologies for big data classification and clustering |
| title_full | Modern technologies for big data classification and clustering Hari Seetha, M. Narasimha Murty, and B.K. Tripathy, editors. |
| title_fullStr | Modern technologies for big data classification and clustering Hari Seetha, M. Narasimha Murty, and B.K. Tripathy, editors. |
| title_full_unstemmed | Modern technologies for big data classification and clustering Hari Seetha, M. Narasimha Murty, and B.K. Tripathy, editors. |
| title_short | Modern technologies for big data classification and clustering |
| title_sort | modern technologies for big data classification and clustering |
| topic | Big data. Classification Nonbook materials. Cluster analysis. Data mining. Document clustering. |
| topic_facet | Big data. Classification Nonbook materials. Cluster analysis. Data mining. Document clustering. |
| url | http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-2805-0 |
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