auction-lap-master

一个JSP的在线考试系统,各个功能都很完善,有学生在线考试,和教师后台管理系统(an online examination system, each function is perfect, students online examinations, and teachers background Management System)

说明：  javaee实验smm 太原理工大学java ee课程代码实验报告(Java EE experiment report on code experiment of Java EE course in SMM University of Technology)

java 操作文件写入，读取。。。。。。。。。。。。(Java operation file write, read)

说明：  在软件业，AOP为Aspect Oriented Programming的缩写，意为：面向切面编程，通过预编译方式和运行期动态代理实现程序功能的统一维护的一种技术。AOP是OOP的延续，是软件开发中的一个热点，也是Spring框架中的一个重要内容，是函数式编程的一种衍生范型。利用AOP可以对业务逻辑的各个部分进行隔离，从而使得业务逻辑各部分之间的耦合度降低，提高程序的可重用性，同时提高了开发的效率(In the software industry, AOP is the abbreviation of Aspect Oriented Programming, which means: Face-Oriented Programming, a technology to achieve unified maintenance of program functions through pre-compiling and run-time dynamic proxy. AOP is the continuation of OOP, a hotspot in software development, an important content in Spring framework, and a derivative paradigm of functional programming. Using AOP can isolate all parts of business logic, which reduces the coupling between the parts of business logic, improves the reusability of programs, and improves the efficiency of development.)

说明：  hotel source code can try ng liang shen

这是关于学生选修和老师教学的代码作业。这是java学习类的时候的作业希望对大家有用(This is about teaching the students and teachers of the code elective operations. This is the java class to learn when operating the hope that useful)

麦咖啡升级中心，升级时直接运行此软件，链接至网络即可，不必再到官网下载，节省大量时间。(escalation center, upgrade the software run directly, link to the network and not network officials then downloaded, save a lot of time.)

猜数问题，实现了rand（）函数的随机，随着你猜的次数，他会做一个统计(The guessing problem implements the randomness of the rand () function and, as you guess, he makes a statistic)

Hive 源码吧，官方下 载。(Hive Open source, download from official website)

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.)