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Utilizing big data paradigms for business intelligence Advances in business information systems and analytics (ABISA) book series./ Jérôme Darmont, Sabine Loudcher, [editors].
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| dc.contributor.author | Darmont Jérôme | |
| dc.contributor.author | Loudcher Sabine | |
| dc.date.accessioned | 2024-01-29T21:34:16Z | |
| dc.date.available | 2024-01-29T21:34:16Z | |
| dc.date.issued | 2019 | |
| dc.identifier.citation | Utilizing big data paradigms for business intelligence Advances in business information systems and analytics (ABISA) book series. - 1 online resource (xxi, 313 pages) : - URL: https://libweb.kpfu.ru/ebsco/pdf/1851356.pdf | |
| dc.identifier.isbn | 9781522549642 | |
| dc.identifier.isbn | 1522549641 | |
| dc.identifier.uri | https://dspace.kpfu.ru/xmlui/handle/net/179607 | |
| dc.description | Includes bibliographical references and index. | |
| dc.description.abstract | "Because efficient compilation of information allows managers and business leaders to make the best decisions for the financial solvency of their organizations, data analysis is an important part of modern business administration. Understanding the use of analytics, reporting, and data mining in everyday business environments is imperative to the success of modern businesses. Utilizing Big Data Paradigms for Business Intelligence is a pivotal reference source that provides vital research on how to address the challenges of data extraction in business intelligence using the five 'Vs' of big data: velocity, volume, value, variety, and veracity. This book is ideally designed for business analysts, investors, corporate managers, entrepreneurs, and researchers in the fields of computer science, data science, and business intelligence."-- | |
| dc.description.tableofcontents | Applications of artificial intelligence in the realm of business intelligence / Prakhar Mehrotra -- A big data platform for enhancing life imaging activities / Leila Abidi [and others] -- A survey of parallel indexing techniques for large-scale moving object databases / Eleazar Leal, Le Gruenwald, Jianting Zhang -- Privacy and security in data-driven urban mobility / Rajendra Akerkar -- C-Idea : a fast algorithm for computing emerging closed datacubes / Mickaël Martin-Nevot [and others] -- Large multivariate time series forecasting : survey on methods and scalability / Youssef Hmamouche [and others] -- Exploring multiple dynamic social networks in computer-mediated communications : an experimentally validated ecosystem / O. Isaac Osesina [and others] -- Analysis of operation performance of blast furnace with machine learning methods / Kuo-Wei Hsu, Yung-Chang Ko. | |
| dc.language | English | |
| dc.language.iso | en | |
| dc.relation.ispartofseries | Advances in business information systems and alanlytics (ABISA) book series | |
| dc.relation.ispartofseries | Advances in business information systems and analytics (ABISA) book series. | |
| dc.subject.other | Business intelligence -- Data processing. | |
| dc.subject.other | Big data. | |
| dc.subject.other | Big data. | |
| dc.subject.other | BUSINESS & ECONOMICS / Industrial Management | |
| dc.subject.other | BUSINESS & ECONOMICS / Management | |
| dc.subject.other | BUSINESS & ECONOMICS / Management Science | |
| dc.subject.other | BUSINESS & ECONOMICS / Organizational Behavior | |
| dc.subject.other | Electronic books. | |
| dc.title | Utilizing big data paradigms for business intelligence Advances in business information systems and analytics (ABISA) book series./ Jérôme Darmont, Sabine Loudcher, [editors]. | |
| dc.type | Book | |
| dc.description.pages | 1 online resource (xxi, 313 pages) : | |
| dc.collection | Электронно-библиотечные системы | |
| dc.source.id | EN05CEBSCO05C139 |
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