Real World Data Mining Applications (Annals of Information Systems, 17)
ISBN-13:
9783319078113
ISBN-10:
3319078119
Edition:
2015
Author:
Gary M Weiss, Robert Stahlbock, Mahmoud Abou-Nasr, Stefan Lessmann
Publication date:
2014
Publisher:
Springer
Format:
Paperback
434 pages
FREE US shipping
Book details
ISBN-13:
9783319078113
ISBN-10:
3319078119
Edition:
2015
Author:
Gary M Weiss, Robert Stahlbock, Mahmoud Abou-Nasr, Stefan Lessmann
Publication date:
2014
Publisher:
Springer
Format:
Paperback
434 pages
Summary
Real World Data Mining Applications (Annals of Information Systems, 17) (ISBN-13: 9783319078113 and ISBN-10: 3319078119), written by authors
Gary M Weiss, Robert Stahlbock, Mahmoud Abou-Nasr, Stefan Lessmann, was published by Springer in 2014.
With an overall rating of 4.0 stars, it's a notable title among other
Information Management
(Processes & Infrastructure, Operations Research, AI & Machine Learning, Computer Science, Data Mining, Databases & Big Data, Software, Management & Leadership) books. You can easily purchase or rent Real World Data Mining Applications (Annals of Information Systems, 17) (Paperback) from BooksRun,
along with many other new and used
Information Management
books
and textbooks.
And, if you're looking to sell your copy, our current buyback offer is $0.3.
Description
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 opportunities in the field. Thanks to its multidisciplinary nature, the volume is expected to become a vital resource for a broad readership ranging from students, throughout engineers and developers, to researchers and academics.
We would LOVE it if you could help us and other readers by reviewing the book
Book review
Congratulations! We have received your book review.
{user}
{createdAt}
by {truncated_author}