Managing Gigabytes pdf epub mobi txt 電子書 下載2025
- 搜索引擎
- 大規模數據處理
- 信息檢索
- 計算機
- Information+Retrieval
- IR
- Search
- Data
- 數據管理
- 雲計算
- 數字存儲
- 大數據
- 信息技術
- 網絡管理
- 存儲技術
- 係統架構
- 數字化轉型
- 信息科學
具體描述
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.
著者簡介
圖書目錄
讀後感
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
評分不知道为什么国内目前还没有引进这本书。学校也只有计算机图书馆有2本。基本很难才能借到，真希望有翻译版的啊。
評分斯坦福大学是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。
評分很老的书，不过的确对得起标题，内容翔实全面，翻译的也很不错。当初看的时候正好在研究lucene的源代码，里面的内容对我帮助很大。 在《信息检索导论》这本书之前，《深入搜索引擎》应该是全面介绍信息检索最好的书了。
評分用戶評價
qwewqewqe
评分男神寫的！放在架子上供著！
评分趕在敲鍾前啃完瞭～內容有點老，但不失為一本好書，語言稍有晦澀，有的地方需要琢磨好幾遍纔能看明白
评分男神寫的！放在架子上供著！
评分qwewqewqe
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