JAVA

一个用java编写的日历记事本. 具有正常日历功能；也可以用于在不同日期记录下当日重要的事情，日历和记事功能有机组合.(A java program about calendar.)

说明：  java课件，介绍java，帮助学习java，欢迎使用，多多指导。(java courseware on java, help to learn java, welcome to use a lot of guidance.)

JFreeChart它主要是用来制作各种各样的图表，这些图表包括：饼图、柱状图(普通柱状图以及堆栈柱状图)、线图、区域图、分布图、混合图、甘特图以及一些仪表盘等等。(JfreeChart it is primarily used to produce a wide variety of charts, graphs include : pie histogram (histogram and ordinary stack histogram), maps, regional maps, maps, maps mixed, Gantt Chart and some dashboard, and so on.)

ssd3 exam 1 stock WeatherApplication Weather EmployeeInformationSystem

主要了解深入理解Java虚拟机，JVM高级特性与最佳实践 软件的性能，都是从JVM 开始。很重要。(The further understanding of Java virtual machine: JVM advanced features and best practice of software performance is from JVM began. Very important. )

springmvc前台新增页面配合dwz简单demo，方便学习开发，简单易懂。(springmvc new front page with dwz simple demo, facilitate learning and development, easy to understand.)

网络聊天室：包括用户注册，聊天，私聊功能，希望对大家有用(Internet chat rooms)

Java五子棋编程 (Gobang Java Programming)

本书讲述的Struts、Hibernate、Spring无论在已有项目的选用比例，还是在开发人员的认知度上，都是最有影响力和号召力的，Struts+Hibernate+Spring已经成为轻量级开发J2EE的标准配置，被称为SHS经典组合，这也是目前Java程序员必须掌握的技能。本书是一本由小实例组合成的实践书，每个案例读者都可以亲自实践。(Book tells Struts, Hibernate, Spring, whether in the selection of the ratio of existing projects, or in the awareness of developers, are the most influential and charismatic, Struts+ Hibernate+ Spring has become a lightweight J2EE Development the standard configuration is called SHS classic combination, which is currently the Java programmer must master the skills. This book is a small example of a combination of practical book, readers can each case personally practice.)

CLIQUE（Clustering In QUEst)是一种简单的基于网格的聚类方法，用于发现子空间中基于密度的簇。CLIQUE把每个维划分成不重叠的区间，从而把数据对象的整个嵌入空间划分成单元。它使用一个密度阈值识别稠密单元和稀疏单元。一个单元是稠密的，如果映射到它的对象数超过该密度阈值。(CLIQUE (Clustering In QUEst) is a simple grid based clustering method for the discovery of clusters based on density in subspace. CLIQUE divides each dimension into a non overlapping interval, dividing the entire embedded space of the data object into a unit. It uses a density threshold to identify dense and sparse units. A unit is dense, if the number of objects mapped to it is more than the density threshold.)