搜索资源列表
TankWar
- 坦克大战实现敌我相互对战、我方坦克可以加血块、穿越障碍、子弹打中敌方坦克、会产生爆破的火花、敌方打中我方坦克掉血、游戏结束会显示那方胜利。-Tankedaizhan the enemy to battle each other, our tanks can add blood clot, through obstacles, the bullet hit the enemy tanks, will produce a spark, blasting enemy hit our tanks out
[Packt-Publishing]-Fast-Data-Processing-with-Spar
- Spark is a new sysytem that can process big data. Now, it is becoming more and more popular!
spark
- 快来看啊，，此款代码乃神人之作，包学包会，不会再来，简单易懂，想学51单片机就来吧-4micro control unit
demo-xmpp
- 安卓及时通讯xmpp 方式，实现单聊，需要自己在电脑上搭建服务器，openfire +spark-Andrews timely communication xmpp way to achieve a single chat, you need to build their own server on the computer, openfire+ spark
hadoop资源
- 包括hadoop的综述文献，与Mahout学习路线、实时处理Storm、Apache Pig与Apache Spark的相关文献。
sparkweb
- spark的web版，spark是在线即时聊天的软件。还缺一个服务器端openfire，稍后会上传，解压后放到openfire的resources目录下即可。登陆localhost:7070/sparkweb就能看到页面。官网地址http://www.igniterealtime.org/downloads/index.jsp-The web version of the spark, the spark is online instant messaging software.Need a s
model-based-cold-start-scheme
- cold start speed control scheme for SI engine-model-based cold-start speeed control scheme for spark ignition engines
[Packt-Publishing]-Fast-Data-Processing-with-Spar
- Fast Data Processing with Spark High-speed distributed computing made easy with Spark -Fast Data Processing with Spark High-speed distributed computing made easy with Spark
mahout-distribution-0.9-src
- mahout源码,包括单机实现，hadoop分布式算法实现和spark内存实现-Mahout source code, including stand-alone realizes, the distributed implementation of Hadoop algorithm and spark memory
regression
- spark平台上关于回归的Scala程序-This is about scala progection on regression based on spark
src
- 在spark上对一个包含电影信息，流派等信息的聚类-Movie information contained on the spark a, genre information such as the clustering
JN3
- 用于东南大学云计算比赛初赛第三题，使用技术：spark，语言：java-Southeast University cloud competition for preliminary third question, the use of technology: spark, Language: java
JN4
- 用于东南大学云计算比赛初赛第四题，使用技术：spark，语言：java-Southeast University cloud competition for preliminary fourth question, the use of technology: spark, Language: java
sparkdgdd
- flex spark datagrid column dragdrop
HistoryIQPlugin
- openfire的spark插件，spark发送请求，然后openfire接收-openfire s and spark plugin。saprk send packet ,enth openfire receive
casvIQ
- openfire 的iq插件，接收spark传过来的请求，spark插件在我另一个上传-Openfire plugin IQ, receiving the request of the spark over, the spark plug-in in another I upload
scala-shell-code_09.scala
- 基于spark做的文本分类，有分词、提取TFIFDF关键词特征，贝叶斯分类次，word2vector-Make text classification based spark, partakers word feature extraction TFIFDF keyword, Bayesian classification times, word2vector
sparkts
- scala 实现的基于spark的时间序列代码-Time Series codes scala implemented based spark
testpython
- 用python在spark上取数据，实现了python和hbase的对接-Access to data on the use python spark, realized the python and hbase docking
ghsc257112221053401
- spark-spring: Provide support for Spring Context when using Spark Framework