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...
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| Other Authors: | , , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA)
IGI Global
[c2018]
|
| Subjects: | |
| Online Access: | DE-862 DE-863 |
| Summary: | "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"-- |
| Physical Description: | 15 PDFs (xxi, 360 Seiten) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781522528067 |
| Access: | Restricted to subscribers or individual electronic text purchasers. |
Staff View
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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 [c2018] | |
| 300 | |a 15 PDFs (xxi, 360 Seiten) | ||
| 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 | 0 | |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. | |
| 653 | |a Data Visualization. | ||
| 653 | |a Distributed Computing Systems. | ||
| 653 | |a Opinion Mining. | ||
| 653 | |a Privacy and Security. | ||
| 653 | |a Risk Analysis. | ||
| 653 | |a Social Network Analysis. | ||
| 653 | |a Text Data Analytics. | ||
| 653 | |a Web Data Analytics. | ||
| 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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Record in the Search Index
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| author2 | Murty, M. Narasimha Seetha, Hari 1970- Tripathy, B. K. 1957- |
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| 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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| indexdate | 2025-03-18T14:30:28Z |
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| isbn | 9781522528067 |
| language | English |
| oclc_num | 988619713 |
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| physical | 15 PDFs (xxi, 360 Seiten) Also available in print. |
| psigel | ZDB-98-IGB FWS_PDA_IGB ZDB-98-IGB |
| publishDate | 2018 |
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| 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 [c2018] 15 PDFs (xxi, 360 Seiten) 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. Data Visualization. Distributed Computing Systems. Opinion Mining. Privacy and Security. Risk Analysis. Social Network Analysis. Text Data Analytics. Web Data Analytics. 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 |
| 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. |
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