大规模数据挖掘
Mining of massive datasets
Anand Rajaraman、Jeffrey D. Ullman、Jure Leskovec · 初版 2012 年
17人推荐
20位读者提及
23次提及
为什么值得读
- 针对大规模数据处理提供深入算法解析
- 比一般入门书更有深度，且不难理解跟进
- 来自斯坦福大学的优质公开学术教材
本书基于斯坦福大学计算机科学课程CS246：Mining Massive Datasets（以及CS345A：Data Mining）。
Hacker News 上怎么说
正在加载完整评论……
……等 http://www.amazon.com/Pattern-Classification-Pt-1-Richard-Du... Hastie 等人写的《统计学习精要》（The Elements of Statistical Learning），斯坦福提供免费版本：http://www-stat.stanford.edu/~tibs/ElemStatLearn 斯坦福免费提供的《海量数据集挖掘》（Mining of Massive Datasets）：http://infolab.stanford.edu/~ullman/mmds.html Barber 写的《贝叶斯推理与机器学习》（Bayesian Reasoning and Machine Learning），线上免费看：http://web4.cs.ucl.ac.uk/staff/D.Barber/pmwiki/pmwiki.php?n=...……
…all http://www.amazon.com/Pattern-Classification-Pt-1-Richard-Du... The Elements of Statistical Learning, by Hastie et all. It is free from Stanford. http://www-stat.stanford.edu/~tibs/ElemStatLearn Mining of Massive Datasets, free from Stanford. http://infolab.stanford.edu/~ullman/mmds.html Bayesian Reasoning and Machine Learning, by Barber, free available online. http://web4.cs.ucl.ac.uk/staff/D.Barber/pmwiki/pmwiki.php?n=...…
我就喜欢看大家分享免费学术教材的链接，感谢！这里还有一本斯坦福的：《海量数据集挖掘》（Mining of Massive Datasets）http://infolab.stanford.edu/~ullman/mmds.html
I love it when people link to freely available academic texts, thank you. Here's another one from Stanford: Mining of Massive Datasets http://infolab.stanford.edu/~ullman/mmds.html
PCI（《集体智慧编程》）是本好书。读完它之后我会推荐的一本书是《海量数据集挖掘》（Mining of Massive Datasets，http://infolab.stanford.edu/~ullman/mmds.html）——尤其是第 9 章。它讲得比 PCI 更深入，而且读起来也不算太费劲。我正在做一个个人项目……
PCI is a great book. One book I'll recommend after reading it is "Mining of Massive Datasets" (http://infolab.stanford.edu/~ullman/mmds.html) - Chapter 9 especially. It goes into more depth than what's covered in PCI and it's not too difficult to follow. I'm working on a personal project in…
……经典）《算法技术手册》（Algorithms in a Nutshell，O'Reilly）《聪明算法》（Clever Algorithms，Jason Brownlee 著，用 Ruby 做示例）《数据挖掘与分析：基础算法》（Data Mining Analysis - Fundamental Algorithms，Mo. Zaki - 电子书）《利用 Python 进行数据分析》（Python for Data Analysis，Wes McKinney）《海量数据集挖掘》（Mining of Massive Datasets，Rajaraman, Leskovec, Ullman - 电子书）。祝阅读愉快。
…classic) Algorithms in a Nutshell (OReilly) Clever Algorithms (Jason Brownlee. Uses Ruby for examples) Data Mining Analysis - Fundamental Algorithms (Mo. Zaki - ebook) Python for Data Analysis (Wes McKinney) Mining of Massive Datasets (Rajaraman, Leskovec, Ullman - ebook) Enjoy.
Jure Leskovec、Anand Rajaraman 和 Jeffrey D. Ullman 写的《海量数据集挖掘》（Mining of Massive Datasets）。你可以在这里下载 PDF：http://infolab.stanford.edu/~ullman/mmds/book.pdf
"Mining of Massive Datasets", by Jure Leskovec, Anand Rajaraman, and Jeffrey D. Ullman. You can get the PDF here: http://infolab.stanford.edu/~ullman/mmds/book.pdf
太棒了！我这周刚好在读第一版，写得太好了。还可以看看《海量数据集挖掘》（Mining of Massive Datasets）：http://infolab.stanford.edu/~ullman/mmds/book.pdf
Great! I was just reading through the first edition this week. It's excellent. Also see Mining of Massive Datasets: http://infolab.stanford.edu/~ullman/mmds/book.pdf