390,23 €
433,59 €
-10% with code: EXTRA
Data Analytics for Social Microblogging Platforms
390,23 € 
- We will send in 10–14 business days.
Data Analysis for Social Microblogging Platforms explores the nature of microblog datasets, also covering the larger field which focuses on information, data and knowledge in the context of natural language processing. The book investigates a range of significant computational techniques which enable data and computer scientists to recognize patterns in these vast datasets, including machine learning, data mining algorithms, rough set and fuzzy set theory, evolutionary computations, combinatori…
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- Author: Soumi Dutta
- Publisher: Academic Press
- ISBN-10: 0323917852
- ISBN-13: 9780323917858
- Format: 15.2 x 22.9 x 1.8 cm, softcover
- Language: English
- SAVE -10% with code: EXTRA
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Data Analysis for Social Microblogging Platforms explores the nature of microblog datasets, also covering the larger field which focuses on information, data and knowledge in the context of natural language processing. The book investigates a range of significant computational techniques which enable data and computer scientists to recognize patterns in these vast datasets, including machine learning, data mining algorithms, rough set and fuzzy set theory, evolutionary computations, combinatorial pattern matching, clustering, summarization and classification. Chapters focus on basic online micro blogging data analysis research methodologies, community detection, summarization application development, performance evaluation and their applications in big data.EXTRA 10 % discount with code: EXTRA
390,23 €
433,59 €
We will send in 10–14 business days.
The promotion ends in 20d.19:05:54
The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Author: Soumi Dutta
- Publisher: Academic Press
- ISBN-10: 0323917852
- ISBN-13: 9780323917858
- Format: 15.2 x 22.9 x 1.8 cm, softcover
- Language: English English
Data Analysis for Social Microblogging Platforms explores the nature of microblog datasets, also covering the larger field which focuses on information, data and knowledge in the context of natural language processing. The book investigates a range of significant computational techniques which enable data and computer scientists to recognize patterns in these vast datasets, including machine learning, data mining algorithms, rough set and fuzzy set theory, evolutionary computations, combinatorial pattern matching, clustering, summarization and classification. Chapters focus on basic online micro blogging data analysis research methodologies, community detection, summarization application development, performance evaluation and their applications in big data.
Reviews