书目名称 | Real World Data Mining Applications |
编辑 | Mahmoud Abou-Nasr,Stefan Lessmann,Gary M. Weiss |
视频video | |
概述 | Addresses the broad range of issues in data mining.Looks at applications in business and management, fraud detection, and new medical applications.Covers established and cutting-edge applications.Incl |
丛书名称 | Annals of Information Systems |
图书封面 |  |
描述 | .Data mining applications range from commercial to social domains, with novel applications appearing swiftly; for example, within the context of social networks. The expanding application sphere and social reach of advanced data mining raise pertinent issues of privacy and security. Present-day data mining is a progressive multidisciplinary endeavor. This inter- and multidisciplinary approach is well reflected within the field of information systems. The information systems research addresses software and hardware requirements for supporting computationally and data-intensive applications. Furthermore, it encompasses analyzing system and data aspects, and all manual or automated activities. In that respect, research at the interface of information systems and data mining has significant potential to produce actionable knowledge vital for corporate decision-making. The aim of the proposed volume is to provide a balanced treatment of the latest advances and developments in data mining; in particular, exploring synergies at the intersection with information systems. It will serve as a platform for academics and practitioners to highlight their recent achievements and reveal potential |
出版日期 | Book 2015 |
关键词 | Data Mining; Fraud Detection; Informatics; Knowledge Management; Machine Learning; Web Analytics |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-319-07812-0 |
isbn_softcover | 978-3-319-07811-3 |
isbn_ebook | 978-3-319-07812-0Series ISSN 1934-3221 Series E-ISSN 1934-3213 |
issn_series | 1934-3221 |
copyright | Springer International Publishing Switzerland 2015 |