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ahu icon ahu

安徽大学计算机专业【初试真题】 - >计算机专业基础(数据结构,操作系统)【复试真题】 - >计算机专业综合(计算机组成原理,数据库原理)

algo icon algo

数据结构和算法必知必会的50个代码实现

android-architecture icon android-architecture

A collection of samples to discuss and showcase different architectural tools and patterns for Android apps.

androidkickstartr icon androidkickstartr

AndroidKickstartR helps you to quickly create a well configured Android application using the most popular libraries. It creates and configures your project for you. Just focus on code!

awesome-bigdata icon awesome-bigdata

A curated list of awesome big data frameworks, ressources and other awesomeness.

banner icon banner

Android广告图片轮播控件,支持无限循环和多种主题,可以灵活设置轮播样式、动画、轮播和切换时间、位置、图片加载框架等!

baseadapter icon baseadapter

Android 万能的Adapter for ListView,RecyclerView,GridView等,支持多种Item类型的情况。

bgabaseadapter-android icon bgabaseadapter-android

在 AdapterView 和 RecyclerView 中通用的 Adapter 和 ViewHolder。RecyclerView 支持 DataBinding 、多种 Item 类型、添加 Header 和 Footer。RecyclerView 竖直方向通用分割线 BGADivider

bgaqrcode-android icon bgaqrcode-android

QRCode 扫描二维码、扫描条形码、相册获取图片后识别、生成带 Logo 二维码、支持微博微信 QQ 二维码扫描样式

big-data-analysis-using-mapreduce-in-hadoop icon big-data-analysis-using-mapreduce-in-hadoop

We explore data by using Big Data Analysis and Visualization skills. To obtain this, we perform 3 main operations. i.e. i)Data Aggregation through different sources. ii) Big Data Analysis using MapReduce and iii) Visualization through Tableau. Data Analysis is very critical in understanding the data, and what we can do with the data. For small datasets it is easier to process and obtain the results. But as for big companies, it becomes crucial for them to obtain the trends of the company for any changes need to be made. Hence we introduce Big Data Analysis to solve this problem. In this lab, we collect close to 20000 tweets, 500 articles on New York Times and 500 articles on Common Crawl Data about Entertainment, which is our main topic of discussion. Using this data, we perform preprocessing and feed it to a MapReduce to find the Word Count and Word Co-Occurrence. Using this, we find the trend of the data collected in this topic. We have used Python to perform Data Analysis.Data Analysis is very critical in understanding the data, and what we can do with the data. For small datasets it is easier to process and obtain the results. But as for big companies, it becomes crucial for them to obtain the trends of the company for any changes need to be made. Hence we introduce Big Data Analysis to solve this problem. In this lab, we collect close to 20000 tweets, 500 articles on New York Times and 500 articles on Common Crawl Data about Entertainment, which is our main topic of discussion. Using this data, we perform preprocessing and feed it to a MapReduce to find the Word Count and Word Co-Occurrence. Using this, we find the trend of the data collected in this topic. We have used Python to perform Data Analysis.

bigdata-1 icon bigdata-1

BigData Project 大数据项目由浅入深

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