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...
| Other Authors: | , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Hershey, PA
IGI Global,
[2018]
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| Series: | Advances in data mining and database management (ADMDM) book series.
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| Subjects: | |
| Online Access: | EBSCOhost Перейти в каталог НБ ТГУ |
| LEADER | 04630cam a2200613Ii 4500 | ||
|---|---|---|---|
| 001 | koha001013875 | ||
| 003 | OCoLC | ||
| 005 | 20250222070015.0 | ||
| 006 | m d | ||
| 007 | cr mn||||||||| | ||
| 008 | 170510t20182018paua ob 001 0 eng d | ||
| 035 | |a koha001013875 | ||
| 040 | |a VT2 |b eng |e pn |c VT2 |d IGIGL |d N$T |d IDEBK |d OCLCF |d N$T |d OCLCQ |d UMI |d OCLCO |d YDX |d OCLCQ |d OCLCO |d OSU | ||
| 019 | |a 999610950 |a 1002114524 | ||
| 020 | |a 9781522528067 |q (electronic bk.) | ||
| 020 | |a 1522528067 |q (electronic bk.) | ||
| 020 | |z 9781522528050 |q (hardcover) | ||
| 020 | |z 1522528059 |q (hardcover) | ||
| 037 | |a CL0500000881 |b Safari Books Online | ||
| 050 | 4 | |a QA76.9.B45 |b M63 2018eb | |
| 072 | 7 | |a COM |x 021030 |2 bisacsh | |
| 082 | 0 | 4 | |a 005.7 |2 23 |
| 049 | |a MAIN | ||
| 245 | 0 | 0 | |a Modern technologies for big data classification and clustering |c Hari Seetha, Vellore Institute of Technology-Andhra Pradesh, India ; M. Narasimha Murty, Indian Institute of Science, India ; B. K. Tripathy, VIT University, India |
| 264 | 1 | |a Hershey, PA |b IGI Global, |c [2018] | |
| 300 | |a 1 online resource (xxi, 360 pages) |b illustrations | ||
| 490 | 1 | |a Advances in data mining and database management (ADMDM) book series | |
| 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. | |
| 520 | |a Data has increased due to the growing use of web applications and communication devices. It is necessary to develop new techniques of managing data in order to ensure adequate usage. Modern Technologies for Big Data Classification and Clustering is an essential reference source for the latest scholarly research on handling large data sets with conventional data mining and provide information about the new technologies developed for the management of large data. Featuring coverage on a broad range of topics such as text and web data analytics, risk analysis, and opinion mining, this publication is ideally designed for professionals, researchers, and students seeking current research on various concepts of big data analytics. | ||
| 504 | |a Includes bibliographical references and index | ||
| 505 | 0 | |a Uncertainty-based clustering algorithms for large data sets / B. K. Tripathy, Hari Seetha, M. N. Murty -- Sentiment mining approaches for big data classification and clustering / Ashok Kumar J, Abirami S, Tina Esther Trueman -- Data compaction techniques / R. Raj Kumar, P. Viswanath, C. Shoba Bindu -- Methodologies and technologies to retrieve information from text sources / Anu Singha, Phub Namgay -- Twitter data analysis / Chitrakala S -- Use of social network analysis in telecommunication domain / Sushruta Mishra, Hrudaya Kumar Tripathy, Monalisa Mishra, Bijayalaxmi Panda -- A review on spatial big data analytics and visualization / Bangaru Kamatchi Seethapathy, Parvathi R -- A survey on overlapping communities in large-scale social networks / S Rao Chintalapudi, H. M. Krishna Prasad -- A brief study of approaches to text feature selection / Ravindra Babu Tallamaraju, Manas Kirti -- Biological big data analysis and visualization: a survey / Vignesh U, Parvathi R | |
| 588 | |a Description based on print version record | ||
| 653 | 0 | |a Big data. | |
| 653 | 0 | |a Data mining. | |
| 653 | 0 | |a Cluster analysis. | |
| 653 | 0 | |a Classification |x Nonbook materials. | |
| 653 | 0 | |a Document clustering. | |
| 653 | 7 | |a COMPUTERS |x Databases |x Data Mining. |2 bisacsh | |
| 653 | 7 | |a Big data. |2 fast |0 (OCoLC)fst01892965 | |
| 653 | 7 | |a Classification |x Nonbook materials. |2 fast |0 (OCoLC)fst00863675 | |
| 653 | 7 | |a Cluster analysis. |2 fast |0 (OCoLC)fst00864976 | |
| 653 | 7 | |a Data mining. |2 fast |0 (OCoLC)fst00887946 | |
| 653 | 7 | |a Document clustering. |2 fast |0 (OCoLC)fst01743605 | |
| 655 | 0 | |a EBSCO eBooks |9 905790 | |
| 655 | 0 | |a Electronic books. |9 899821 | |
| 700 | 1 | |a Seetha, Hari, |d 1970- |9 912708 | |
| 700 | 1 | |a Murty, M. Narasimha, |9 415454 | |
| 700 | 1 | |a Tripathy, B. K., |d 1957- |9 912709 | |
| 830 | 0 | |a Advances in data mining and database management (ADMDM) book series. |9 910005 | |
| 856 | 4 | 0 | |3 EBSCOhost |u https://www.lib.tsu.ru/limit/2023/EBSCO/1559785.pdf |
| 856 | |y Перейти в каталог НБ ТГУ |u https://koha.lib.tsu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=1013875 | ||
| 910 | |a EBSCO eBooks | ||
| 999 | |c 1013875 |d 1013875 | ||
| 039 | |||