Screen LibraryModern 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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| Corporate Authors: | |
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| Group Author: | ; ; |
| Published: |
IGI Global,
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| Publisher Address: | Hershey, Pa. : |
| Publication Dates: | [2018] |
| Literature type: | eBook |
| Language: | English |
| Subjects: | |
| Online Access: |
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-2805-0 |
| 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"-- |
| Carrier Form: | 15 PDFs (xxi, 360 pages) |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781522528067 |
| Access: | Restricted to subscribers or individual electronic text purchasers. |
| Index Number: | QA76 |
| CLC: | TP311 |
| 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. |