= 2011-01-27 =

 * [http://lca2011.linux.conf.au linux.conf.au] LCA 2011 - Day 4

 * '''大會錄影紀錄'''
  * http://linuxconfau.blip.tv/
  * https://conf.linux.org.au/wiki/Videos

 * Keynote : Eric Allman
   * 介紹 sendmail，雖然說大家都開始使用公用的電子郵件（如：Gmail、Yahoo!、Hotmail等），但為了資料隱私安全性，講者還是建議應該要自行架設 mail server。
   * 在討論串中，有人分享了以前架設的經驗 - [http://www.fatofthelan.com/technical/how-to-install-postfix-dovecot-amavis-clamav-and-spamassassin-etch/ How To Install Postfix, Dovecot, Amavis, ClamAV, and Spamassassin (Etch)]
 
 * <*> Advanced C Coding For Fun! - Rusty Russell
   * http://ccan.ozlabs.org/
 * <1> Kernel development: how it goes wrong and why you should be a part of it anyway - Jonathan Corbet
   * Lesson 1 : get merged into main tree - 讓程式被納入主要核心開發
   * 開發是孤獨的，team 
 * <2> Orchestrating the Intelligent Web with Apache Mahout - [http://au.linkedin.com/pub/aneesha-bakharia/4/790/439 Aneesha Bakharia]
{{{
/opt/mahout$ bin/mahout
/opt/mahout$ bin/mahout kmeans -help
}}}
{{{
/opt/mahout$ bin/mahout seqdirectory -i <input> -o <seq-output>
/opt/mahout$ bin/mahout seq2sparse -i <seq-output> -o <vector-sparse>
}}}
   * parallel FPGrowth algorism
   * Latent Dirichlet Allocation (LDA) 可以幫忙做話題分類
|| || Word 1 || Word 2 || Word n ||
|| Topic 1 || 0.5 || 0 || 1 ||
|| Topic 2 || 0 || 0.5 || 0 ||

|| || Word 1 || Word 2 || Word n ||
|| Doc 1 || 1 || 0 || 0 ||
|| Doc 2 || 0 || 1 || 0 ||
|| Doc n || 1 || 0 || 1 ||
{{{
/opt/mahout$ bin/mahout lda -input <PATH>  .... (skipped)
}}}
  * k-mean 的 k 分類要靠經驗，LDA 的 k 分類也是要嘗試，如果能夠結合 !WordNet 的語意屬性，或許會更容易做語意網。
  * Programming Collective Intelligence - http://oreilly.com/catalog/9780596529321
    * [[Image(http://covers.oreilly.com/images/9780596529321/cat.gif)]]
  * Mahout in Action - http://www.manning.com/owen/
    * [[Image(http://www.manning.com/owen/owen_cover150.jpg)]]
  * No 3 - Identifying Manipulated Images
  * No 2 - Seam Carving - Content Aware Resizing
  * No 1 - Digital Face Beautification

== Autonomic Computing ==

 * [http://www.isgtw.org/feature/what-autonomic-computing What is autonomic computing?]
{{{
As a scientific discipline, autonomic computing encompasses the study of 
systems that are capable of autonomously achieving desired behaviors. The 
systems are often called self-* systems, where * is a placeholder for the 
type of behavior. For example, self-tuned systems are capable of tuning 
their performance as needed by their intended mission; self-protected 
systems automatically deal with intrusion attacks. Self-managed systems 
do not require manual configuration and updating, and self-healing systems 
are capable of repairing themselves. Self-managed systems can also be more 
broadly construed as being capable of managing all behaviors mentioned above.
}}}