何友等人著的书，是信息融合技术的经典著作之一，适合入门和有一定工程数学基础的人士阅读

information retrieval 最经典教材 Introduction to Information Retrieval By Christopher D. Manning Stanford University Prabhakar Raghavan Yahoo! Research Hinrich Schutze University of Stuttgart

基于互信息的配准程序，matlab版的，内部包括测试图像为CT和ＭＲ。是老外编的，不错。- Matlab Program to find mutual information for two images stored as vectors. The images must contain 8-bit (0-255) integer pixels Requires two data vectors X,Y which must be the same length and Nx1 in size. Written by B. Corner--2003, University of Nebraska-Lincoln

隐私信息检索Private Information Retrieval，云计算

Corporate Information Factory 2nd Edition PDF File

Author: Michael E. Whitman, Michael E. Whitman The purpose of this textbook is to fulfill the need for a quality academic textbook in the discipline of information security management.

Search Engines: Information Retrieval in Practice 搜索引擎：信息检索实践， W. Bruce Croft is a Distinguished Professor in the Department of Computer Science at the University of Massachusetts, Amherst, which he joined in 1979. In 1992, he became the Director of the Center for Intelligent Information Retrieval (CIIR), which combines basic research with technology transfer to a variety of government and industry partners. He has published more than 180 articles related to information retrieval. Dr. Croft was elected a Fellow of ACM in 1997, received the Research Award from the American Society for Information Science and Technology in 2000, and received the Gerard Salton Award from the ACM Special Interest Group in Information Retrieval (SIGIR) in 2003. Donald Metzler is a Research Scientist in the Search and Computational Advertising group at Yahoo! Research in Santa Clara, CA. He obtained his Ph.D. from the University of Massachusetts in 2007. During his graduate studies he was awarded a Microsoft Live Labs Graduate Fellowship. His research interests include formal information retrieval models, web search, advertising, and machine learning. Trevor Strohman is a software engineer in the Google search quality division. His Ph.D., from the University of Massachusetts Amherst, focused on high-performance text retrieval systems that are easily adaptable to fit specific retrieval applications. He has published papers and presented a tutorial at the top information retrieval conference, SIGIR. He is the creator of the Galago search engine, and the primary developer of the Indri search engine (www.lemurproject.org/indri). He has ten years of professional software development experience, including desktop, server, and web applications.

本书讲解了如何使用python网络爬虫程序，内容包括网络爬虫简介，从页面抓取数据的三种方法，提取缓存中的数据。使用多个线程和进程进行并发抓取。如何抓取动态页面中的内容。与表单进行交互，处理页面中的验证码问题。以及使用scarpy和Portia来来进行数据抓取，并在最后使用本书介绍的数据抓取技术对几个真实的网站进行了抓取

Introduction  Few phenomena characterize our time more uniquely and powerfully than the rapid rise and influence of  information technologies. These technologies have unleashed a tsunami of data that rolls over and flattens  us in its wake. Taming this beast has become a primary goal of the information industry. One tool that has  emerged from this effort in recent years is the information dashboard. This single‐screen display of the  most important information people need to do a job, presented in a way that allows them to monitor  what's going on in an instant, is a powerful new medium of communication. At least it can be, but only  when properly designed.  Most information dashboards that are used in business today fall far short of their potential. The root of  the problem is not technologyat least not primarilybut poor visual design. To serve their purpose and fulfill  their potential, dashboards must display a dense array of information in a small amount of space in a  manner that communicates clearly and immediately. This requires design that taps into and leverages the  power of visual perception to sense and process large chunks of information rapidly. This can be achieved  only when the visual design of dashboards is central to the development process and is informed by a solid  understanding of visual perceptionwhat works, what doesn't, and why.  No technology can do this for you. You must bring this expertise to the process. Take heartthe visual design  skills that you need to develop effective dashboards can be learned, and helping you learn them is the sole  purpose of this book.  If the information is important, it deserves to be communicated well.

信息论基础的配套教材