Managing Gigabytes pdf epub mobi txt 电子书 下载 2025
- 搜索引擎
- 大规模数据处理
- 信息检索
- 计算机
- Information+Retrieval
- IR
- Search
- Data
- 数据管理
- 云计算
- 数字存储
- 大数据
- 信息技术
- 网络管理
- 存储技术
- 系统架构
- 数字化转型
- 信息科学
具体描述
In this fully updated second edition of the highly acclaimed Managing Gigabytes, authors Written, Moffat, and Bell continue to provide unparalleled coverage of state-of-the-art techniques for compressing and indexing data. Whatever your field, if you work with large quantities of information, this book is essential reading - an authoritative theoretical resource and a practical guide to meeting the toughest storage and access challenges. It covers the latest developments in compression and indexing and their application on the Web and in digital libraries. It also details dozens of powerful techniques supported by mg, the authors' own system for compressing, storing, and retrieving text, images, and textual images. Mg's source code is freely available on the Web. It provides up-to-date coverage of new text compression algorithms such as block sorting, approximate arithmetic coding, and fat Huffman coding. It includes new sections on content-based index compression and distributed querying, with 2 new data structures for fast indexing. It provides new coverage of image coding, including descriptions of de facto standards in use on the Web (GIF and PNG), information on CALIC, the new proposed JPEG Lossless standard, and JBIG2. It includes new information on the Internet and WWW, digital libraries, web search engines, and agent-based retrieval. It is accompanied by a public domain system called MG which is a fully worked-out operational example of the advanced techniques developed and explained in the book. It includes a new appendix on an existing digital library system that uses the MG software.
作者简介
目录信息
读后感
在这个大数据时代，管理海量数据是必备技能，也是数据挖掘、数据统计分析，信息检索与数据化运营的基础技术，这本书作为斯坦福大学信息检索和挖掘课程的首选教材，重视理论和实践，深入浅出地给出了海量信息数据处理的整套解决方案，包括压缩、索引和查询的方方面面。其最...
评分英文版是99年出版的，从英文标题也可以看出来是老书了。原来是信息检索实现方面的经典教材。现在看来内容稍显陈旧。 建议参考 http://www.douban.com/subject/3059637/ (原书网站+电子版：http://nlp.stanford.edu/IR-book/information-retrieval-book.html) 和 http://www.do...
评分相对于Introduction to Information Retrieval来说 这本书太老了，基本上就前几章还算比较有用 要知道这本书是在Google普及前出版的(1999年) 帮助Google成名的Link Analysis才刚刚发表不久 另外也缺少了机器学习在信息检索中应用的介绍 如果不是信息检索的初学者，不推荐购买
评分 评分用户评价
bell的这本书其实讲的大多是data compression，还上过他的课哈。
评分信息检索好书
评分男神写的！放在架子上供着！
评分bell的这本书其实讲的大多是data compression，还上过他的课哈。
评分qwewqewqe
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