| 书目名称 | Interactive Knowledge Discovery and Data Mining in Biomedical Informatics |
| 副标题 | State-of-the-Art and |
| 编辑 | Andreas Holzinger,Igor Jurisica |
| 视频video | |
| 概述 | Focuses on hot topics from interactive knowledge discovery and data mining in biomedical informatics.Each paper describes the state-of-the-art and focuses on open problems and future challenges in ord |
| 丛书名称 | Lecture Notes in Computer Science |
| 图书封面 |  |
| 描述 | .One of the grand challenges in our digital world are the large, complex and often weakly structured data sets, and massive amounts of unstructured information. This “big data” challenge is most evident in biomedical informatics: the trend towards precision medicine has resulted in an explosion in the amount of generated biomedical data sets. Despite the fact that human experts are very good at pattern recognition in dimensions of <= 3; most of the data is high-dimensional, which makes manual analysis often impossible and neither the medical doctor nor the biomedical researcher can memorize all these facts. A synergistic combination of methodologies and approaches of two fields offer ideal conditions towards unraveling these problems: Human–Computer Interaction (HCI) and Knowledge Discovery/Data Mining (KDD), with the goal of supporting human capabilities with machine learning..This state-of-the-art survey is an output of the HCI-KDD expert network and features 19 carefully selected and reviewed papers related to seven hot and promising research areas: Area 1: Data Integration, Data Pre-processing and Data Mapping; Area 2: Data Mining Algorithms; Area 3: Graph-based Data Mining; Ar |
| 出版日期 | Book 2014 |
| 关键词 | big data; biomedical informatics; computing methodologies; data analytics; data mining; feature selection |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-662-43968-5 |
| isbn_softcover | 978-3-662-43967-8 |
| isbn_ebook | 978-3-662-43968-5Series ISSN 0302-9743 Series E-ISSN 1611-3349 |
| issn_series | 0302-9743 |
| copyright | Springer-Verlag Berlin Heidelberg 2014 |
发表于 2025-3-21 17:13:40
