Opinion Miner

http://robertnyman.com/2008/10/09/explaining-javascript-scope-and-closures/

http://ww2.cs.mu.oz.au/~hanb/acl2011-normalisation-slides.pdf

The following is only content for XML file in MyBatis <insert id="insertOrUpdateMultipleRecords" parameterType="HashMap">     INSERT INTO table1  ( field1, field2, created )     VALUES     <foreach collection="inputList" item="inputListItem" separator=",">        (#{inputListItem.itemfield1}, #{inputListItem.itemfield2} , NOW())     </foreach>     ON DUPLICATE KEY UPDATE field2 = VALUES(field2)   </insert>

http://www.dtic.mil/cgi-bin/GetTRDoc?AD=ADA556718

https://github.com/darcyclarke/Front-end-Developer-Interview-Questions/tree/master/Chinese

http://java.net/projects/tda/

It is interesting to see that Google has API to do sentiment analysis https://developers.google.com/prediction/

http://blog.csdn.net/cenwenchu79/article/details/8066368

http://homes.cs.washington.edu/~pedrod/papers/cacm12.pdf

http://blog.csdn.net/accesine960/article/details/8066877

1.听说过James Gosling，SUN和Oracle公司。知道网上下载Java的地址，在哪讨论Java。练习过Java在Windows下的安装和配置。知道Java应用系统中常见的几种license和JCP。了解bytecode和Java在不同系统下可以轻松移植的原理。 2.懂得基本的Java编程和行命令格式。了解面向对象的编程思路。 几个基本点：Java基本语法和控制结构，命名和代码风格，结构化，对象封装，继承，抽象，多态，接口，异常处理，堆空间，栈空间，垃圾回收器，static，this，synchronized，annotations，JUnit，JDBC，JSP/servlet Java Core APIs: java.lang，java.util，java.io，java.awt，javax.swing，JFrame ，String，java.sql，JUnit 3.了解Java ME，Java SE，和Java EE的基本区别。知道JVM，JRE，Java SDK，JavaContainer的不同。懂得Java SE6，Java 1.5和Java 1.4的不同，特别是1.4到1.5的改进，包括generics，enum，new loop，variable number of arguments。听说过Oracle JRockit。 4.熟悉一种Java IDE比如Eclipse，NetBeans，JDeveloper，IntelliJ，JBuilder，JCreator。最好版本比较新。懂得如何在程序中查错，熟悉常见的几种Java错误。 5.能用SVN/CVS/GIT进行团队开发。可以编写Javadoc文档。懂得一般的版本管理方法。 6.熟悉JDBC和JSP编写基本的Web数据库应用。懂得基本的SQL编程，JDBC，HTML格式， JavaScript编程和CSS语法。 7.懂得进一步的Java编程比如collections，serialization，streams，networking，multi-threading，reflection，event handling，localization，charset conversion Java Core APIs: java.util，java.text，j

http://www.ibm.com/developerworks/aix/library/au-dist_ver_control/

http://www.cnblogs.com/villion/archive/2009/07/23/1893765.html

http://www.blogjava.net/BlueDavy/archive/2008/09/03/226749.html

A little old article http://www.ibm.com/developerworks/library/wa-lucene/

http://nlp.stanford.edu/IR-book/information-retrieval.html

The Unstandardized Predicted Value and the Standardized Predicted Value have a perfect correlation  because they are simple linear transformations of one another.  Illustrattively, the standardized predicted value involves the subtraction of a constant (the mean predicted value) from each predicted value, and division by a constant (the standard deviation of the predicted values). The adjusted predicted value is somewhat more complicated.  This is the predicted value for a case when it is excluded from the computation of the regression coefficients. http://spssx-discussion.1045642.n5.nabble.com/regression-predicted-values-td1069695.html

http://obelix.ee.duth.gr/~apostolo/TowersOfHanoi/hanoiA.html#NWD2

The following are kinds of coding websites. http://codeforces.com/ http://codingbat.com/ http://projecteuler.net/ http://poincare.matf.bg.ac.rs/~jelenagr/ASP/testHeadHunter.pdf anandtechblog.blogspot.com/ http://tianrunhe.wordpress.com/category/questions-from-careercup/ http://codinggeeks.blogspot.com/ interview question summary https://docs.google.com/file/d/0B2I8CDQfM3NKLVdEWkNxNjVkWjA/edit?+usp=sharing

http://www.cloudera.com/blog/2012/09/analyzing-twitter-data-with-hadoop/

http://www.cis.upenn.edu/~matuszek/cit594-2002/Pages/backtracking.html