User-Experience-Case-Study

Web数据挖掘(世界著名计算机教材精选),作者BingLiu刘冰 刘兵(BingLiu)，伊利诺伊大学芝加哥分校(UIC)教授，他在爱丁堡大学获得人工智能博士学位。刘兵教授是Web挖掘研究领域的国际知名专家，在Web内容挖掘、互联网观点挖掘、数据挖掘等领域有非常高的造诣，他先后在国际著名学术期刊与重要国际学术会议(如KDD、WWW、AAAI、SIGIR、ICML、TKDE等)上发布关于数据挖掘、Web挖掘和文本挖掘论文一百多篇。刘兵教授担任过多个国际期刊的编辑，也是多个国际学术会议(如WWW、KDD与AAAI等)的程序委员会委员。 本书旨在阐述web数据挖掘的概念及其核心算法，使读者获得相对完整的关于web数据挖掘的算法和技术知识。本书不仅介绍了搜索、页面爬取和资源探索以及链接分析等传统的Web挖掘主题，而且还介绍了结构化数据的抽取、信息整合、观点挖掘和Web使用挖掘等内容，这些内容在已有书籍中没有提及过，但它们在Web数据挖掘中却占有非常重要的地位。全书分为两大部分：第一部分包括第2章到第5章，介绍数据挖掘的基础；第二部分包括第6章到第12章，介绍Web相关的挖掘任务。 (Web data mining (world-renowned computer materials selection), the authors BingLiu Liu Bing Liu Bing (BingLiu), University of Illinois at Chicago (UIC) professor, Ph.D. in Artificial Intelligence at Edinburgh University. Professor Liu Bing is the field of Web mining research internationally renowned expert in Web content mining, Internet, view mining, data mining and other areas have very high attainments, he worked in internationally renowned academic journals and major international conferences (such as KDD, WWW, AAAI, SIGIR, ICML, TKDE, etc.) on the release of data mining, Web mining and text mining papers more than a hundred articles. Professor Liu Bing served as editor of several international journals, but also a number of international conferences (such as WWW, KDD and AAAI, etc.) of the Program Committee. This book seeks to explain the concept and web data mining of the core algorithm, so that readers gain a relatively complete information on web data mining algorithms )

Corporate finance is the study of the flow of funds into and out of organizations and the decisions affecting those flows, such as which projects a firm should invest in, and how they should go about raising the money to do so. This book is meant to be a plain-spoken introduction to the basic concepts of corporate finance one, which is suitable for use either as a supplement to a traditional, introductory college text or as a stand-alone text for students or practitioners who are interested in a more practical approach to the topic.

斯坦福大学计算机系Andrew N.G教授于2011年CVPR发表文章Learning hierarchical spatio-temporal features for action recognition with independent subspace analysis，文件是实现的code，很有用哦(Andrew NG, Professor of the Department of Computer Science at Stanford University published in 2011 CVPR article Learning hierarchical spatio-temporal features for action recognition with independent Sbspaces are analysis, file implementation code very useful oh)

it is a few article about microRNA in science direct

说明：  SAR图像斑点噪声抑制方法与应用研究，里面给出里处理Sar 影像的算法(SAR image speckle noise reduction methods and applied research, which is given to deal with Sar Imaging Algorithm)

关于DFIG的低压穿越能力的研究。对以后实现低压穿越做一些探索性的工作(Along with the sharp increase in the proportion of wind power supply some areas the impact of Large-scale wind farms for the stability of regional power grid is more significant. The research on low voltage ride-through (LVRT) of wind power system based on doubly-fed induction generators (DFIG) becomes a hot issue. In this paper ,Firstly introduces the concept of low voltage ride-through technology, The standards of LVRT of some European countries are presented, And then analyses and compares the kinds of common realize low voltage ride- technology and improve control strategy. The transient characteristics of DFIG when the grid voltage sagging.)

变速恒频风力发电技术风力发电具有一些自身所拥有的特点，因此如何提高整个风力发电系统的效率、性能以及其输出电能质量，是当今风力发电研究的重点也是风力发电研究的发展方向。目前已有的风力发电技术主要有四类：定桨距调节技术、变桨距调节技术、主动失速调剂技术、变速恒频技术。因定桨距调节技术产生的时间比较早，并且现在的风力发电系统中不再使用因此不做详细介绍。(VSCF wind power generation technology)

互联网公司通过改良传统中间件或改进设计架构使其具备分布式能力，同时使用了新兴的采用分布式思路设计的大数据中间件等方案，让应用系统具备了支撑弹性扩展、高并发、海量数据、高可靠业务的能力，并大大缩短业务的上线和更新周期。(Strategic thinking of cloud computing)

wsn using djkstra, use to find the shortest path between the nodes

我上传了《云计算核心技术剖析》一书的pdf版本，供广大研究云计算方面的朋友参考(I uploaded the PDF version of "Cloud Computing Core Technology Analysis" for the reference of friends who study cloud computing.)