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.
具体描述
读后感
一上来就讲手工时代编制索引的故事，从圣经讲到莎士比亚，囧~ 跳过有灰色条框的部分，估计得看两变以上，不懂压缩信息学知识……
评分The computer revolution has produced a society that feeds on information. Yet much of the information is its raw form: data. There is no shortage of this raw material. It is created in vast quantities by financial transactions, legal proceedings, and govern...
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...
评分斯坦福大学是GOOGLE的发源地哦。译者花了一年半的时间精心翻译的，期间加入了上百条译者注，帮助大家理解内容。
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
用户评价
为啥翻译得都不行呢?
评分信息检索好书
评分为啥翻译得都不行呢?
评分为啥翻译得都不行呢?
评分赶在敲钟前啃完了～内容有点老，但不失为一本好书，语言稍有晦涩，有的地方需要琢磨好几遍才能看明白
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