| 查看: 677 | 回复: 1 | ||
[资源]
【分享】Scientific Data Mining_A Practical Perspective.SIAM.2009
|
|
Scientific Data Mining_A Practical Perspective 免责声明 本资源来自于互联网，仅供网络测试之用，请务必在下载后24小时内删除！所有资源不涉及任何商业用途。发帖人不承担由下载使用者引发的一切法律责任及连带责任！ 著作权归原作者或出版社所有。未经发贴人conanwj许可，严禁任何人以任何形式转贴本文，违者必究！ 如果本帖侵犯您的著作权，请与conanwj联系，收到通知后我们将立即删除此帖！ Authors(Editors): Chandrika Kamath Lawrence Livermore National Laboratory Livermore, California Publisher: SIAM Pub Date: 2009 Pages: 304 ISBN: 978-0-898716-75-7 Preface Advances in sensors, information technology, and high-performance computing have resulted in massive data sets becoming available in many scientific disciplines. These data sets are not only very large, being measured in terabytes and petabytes, but are also quite complex. This complexity arises as the data are collected by different sensors, at different times, at different frequencies, and at different resolutions. Further, the data are usually in the form of images or meshes, and often have both a spatial and a temporal component. These data sets arise in diverse fields such as astronomy, medical imaging, remote sensing, nondestructive testing, physics, materials science, and bioinformatics. They can be obtained from simulations, experiments, or observations. This increasing size and complexity of data in scientific disciplines has resulted in a challenging problem. Many of the traditional techniques from visualization and statistics that were used for the analysis of these data are no longer suitable. Visualization techniques, even for moderate-sized data, are impractical due to their subjective nature and human limitations in absorbing detail, while statistical techniques do not scale up to massive data sets. As a result, much of the data collected are never even looked at, and the full potential of our advanced data collecting capabilities is only partially realized, if at all. Data mining is the process concerned with uncovering patterns, associations, anomalies, and statistically significant structures in data. It is an iterative and interactive process involving data preprocessing, search for patterns, and visualization and validation of the results. It is a multidisciplinary field, borrowing and enhancing ideas from domains including image understanding, statistics, machine learning, mathematical optimization, high-performance computing, information retrieval, and computer vision. Data mining techniques hold the promise of assisting scientists and engineers in the analysis of massive, complex data sets, enabling them to make scientific discoveries, gain fundamental insights into the physical processes being studied, and advance their understanding of the world around us. 本资源共3个可选网络硬盘链接，2.65 MB。 -------------------------------------------------------------------------------------------------------- https://www.easy-share.com/1910523135/Scientific Data Mining_A Practical Perspective.Chandrika Kamath.p304.9780898716757.SIAM.2009.rar https://rapidshare.com/files/394 ... 16757.SIAM.2009.rar https://www.divshare.com/download/11576563-0c6 https://www.sendspace.com/file/9cow6h -------------------------------------------------------------------------------------------------------- |
回复此楼» 猜你喜欢
材料与化工考研调剂
已经有3人回复
-
081700 调剂 267分
已经有3人回复
-
一志愿重庆大学085700资源与环境，总分308求调剂
已经有3人回复
-
336化工调剂
已经有4人回复
-
276求调剂。有半年电池和半年高分子实习经历
已经有7人回复
-
08工学调剂
已经有10人回复
-
263求调剂
已经有6人回复
-
298求调剂
已经有8人回复
-
考研化学308分求调剂
已经有6人回复
-
0854 考研调剂 招生了！AI 方向
已经有13人回复
» 本主题相关价值贴推荐，对您同样有帮助:
- 在Scientific Linux下安装 Gaussian09
已经有6人回复
- It's a lucky day!
已经有11人回复
- 怎样有效的分析和展示数据 《A.Practical.Guide.to.Designing.with.Data.》
已经有46人回复
- 过氧乙酸A,B 液怎么用
已经有2人回复
- [分享][经典电子书]Cell Biology, A LaboratoryHandbook
已经有29人回复
- 求 Enzymes: A Practical Introduction to Structure, Mechanism, and Data Analysis
已经有4人回复
- 四方相钙钛矿中什么时候c比a大，什么时候c比a小
已经有4人回复
- [资源推介]Industrial Catalysis: A Practical Approach(John Wiley & Sons,2006)
已经有21人回复
2楼2010-10-11 03:24:00
