| 書目名稱 | Veracity of Big Data | | 副標(biāo)題 | Machine Learning and | | 編輯 | Vishnu Pendyala | | 視頻video | http://file.papertrans.cn/982/981064/981064.mp4 | | 概述 | Presents solutions to a problem that is intimidatingly complex, increasingly important, and largely unsolved.Provides simple, easy-to-understand explanations of profound mathematical concepts.Includes | | 圖書封面 |  | | 描述 | Examine the problem of maintaining the quality of big data and discover novel solutions. You will learn the four V’s of big data, including veracity, and study the problem from various angles. The solutions discussed are drawn from diverse areas of engineering and math, including machine learning, statistics, formal methods, and the Blockchain technology.?.Veracity of Big Data. serves as an introduction to machine learning algorithms and diverse techniques such as the Kalman filter, SPRT, CUSUM, fuzzy logic, and Blockchain, showing how they can be used to solve problems in the veracity domain. Using examples, the math behind the techniques is explained in easy-to-understand language..Determining the truth of big data in real-world applications involves using various tools to analyze the available information. This book delves into some of the techniques that can be used. Microblogging websites such as Twitterhave played a major role in public life, including during presidential elections. The book uses examples of microblogs posted on a particular topic to demonstrate how veracity can be examined and established. Some of the techniques are described in the context of detecting veil | | 出版日期 | Book 2018 | | 關(guān)鍵詞 | Big Data; Machine Learning; Veracity of Data; Sentiment Analysis; Kalman Filter; Natural Language Underst | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4842-3633-8 | | isbn_softcover | 978-1-4842-3632-1 | | isbn_ebook | 978-1-4842-3633-8 | | copyright | Vishnu Pendyala 2018 |
The information of publication is updating
|
|
|Archiver|手機(jī)版|小黑屋|
派博傳思國(guó)際
( 京公網(wǎng)安備110108008328)
GMT+8, 2025-10-5 20:19
發(fā)表于 2025-3-21 16:47:11
