| 书目名称 | Causal Models and Intelligent Data Management | | 编辑 | Alex Gammerman | | 视频video | | | 概述 | Coherent survey on new intelligent data analysis methods with an emphasis on causal inference.Based on courses held by UNICOM.Includes supplementary material: | | 图书封面 |  | | 描述 | Data analysis and inference have traditionally been research areas of statistics. However, the need to electronically store, manipulate and analyze large-scale, high-dimensional data sets requires new methods and tools, new types of databases, new efficient algorithms, new data structures, etc. - in effect new computational methods..This monograph presents new intelligent data management methods and tools, such as the support vector machine, and new results from the field of inference, in particular of causal modeling. In 11 well-structured chapters, leading experts map out the major tendencies and future directions of intelligent data analysis. The book will become a valuable source of reference for researchers exploring the interdisciplinary area between statistics and computer science as well as for professionals applying advanced data analysis methods in industry and commerce. Students and lecturers will find the book useful as an introduction to the area. | | 出版日期 | Book 1999 | | 关键词 | Apple; Support Vector Machine; Syntax; algorithms; classification; cognition; complexity; computer science; | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-642-58648-4 | | isbn_softcover | 978-3-642-63682-0 | | isbn_ebook | 978-3-642-58648-4 | | copyright | Springer-Verlag Berlin Heidelberg 1999 |
The information of publication is updating
|
|
发表于 2025-3-21 17:27:04
