| 书目名称 | Data Analysis and Pattern Recognition in Multiple Databases |
| 编辑 | Animesh Adhikari,Jhimli Adhikari,Witold Pedrycz |
| 视频video | |
| 概述 | Recent research on Data Analysis and Pattern Recognition in Multiple Databases.Application of Intelligent Systems Modeling to Multiple Database Analysis.Written by experts in the field.Includes supple |
| 丛书名称 | Intelligent Systems Reference Library |
| 图书封面 |  |
| 描述 | .Pattern recognition in data is a well known classical problem that falls under the ambit of data analysis. As we need to handle different data, the nature of patterns, their recognition and the types of data analyses are bound to change. Since the number of data collection channels increases in the recent time and becomes more diversified, many real-world data mining tasks can easily acquire multiple databases from various sources. In these cases, data mining becomes more challenging for several essential reasons. We may encounter sensitive data originating from different sources - those cannot be amalgamated. Even if we are allowed to place different data together, we are certainly not able to analyze them when local identities of patterns are required to be retained. Thus, pattern recognition in multiple databases gives rise to a suite of new, challenging problems different from those encountered before. Association rule mining, global pattern discovery and mining patterns of select items provide different patterns discovery techniques in multiple data sources. Some interesting item-based data analyses are also covered in this book. Interesting patterns, such as exceptional patt |
| 出版日期 | Book 2014 |
| 关键词 | Data Analysis; Intelligent Systems; Multiple Databases; Pattern Recognition |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-03410-2 |
| isbn_softcover | 978-3-319-37727-8 |
| isbn_ebook | 978-3-319-03410-2Series ISSN 1868-4394 Series E-ISSN 1868-4408 |
| issn_series | 1868-4394 |
| copyright | Springer International Publishing Switzerland 2014 |
发表于 2025-3-21 17:20:09
