Distributed Databases and Data Mining: Class timetable
Course textbooks
Lecture Schedule
This course will cover topics in distributed database systems (Part I) and data mining (Part II). The following is the weekly schedule for the course.
Lectures 1-4
Introduction, distributed database architecture and design
- Chapters 1-5 from textbook 1.
Lectures 5-9
Distributed query processing and optimization
- Chapters 7-9 from textbook 1.
Lectures 10-12
Transaction Processing, Concurrency Control and Reliability
- Chapters 10-12 of textbook 1.
Lectures 13-15
Data warehousing and OLAP technology
- Chapters 1-2 from textbook 2.
Lectures 16-18
Association mining
- Chapters 6 from textbook 2.
Lectures 19-21
Classification
- Chapters 7 from textbook 2.
Lectures 22-24
Clustering
- Chapters 8 from textbook 2.
Term project presentation and discussion sessions
TBA
Distributed Databases and Data Mining: Class timetable的更多相关文章
- Machine Learning and Data Mining(机器学习与数据挖掘)
Problems[show] Classification Clustering Regression Anomaly detection Association rules Reinforcemen ...
- What’s the difference between data mining and data warehousing?
Data mining is the process of finding patterns in a given data set. These patterns can often provide ...
- A web crawler design for data mining
Abstract The content of the web has increasingly become a focus for academic research. Computer prog ...
- Datasets for Data Mining and Data Science
https://github.com/mattbane/RecommenderSystem http://grouplens.org/datasets/movielens/ KDDCUP-2012官网 ...
- 论文翻译:Data mining with big data
原文: Wu X, Zhu X, Wu G Q, et al. Data mining with big data[J]. IEEE transactions on knowledge and dat ...
- 18 Candidates for the Top 10 Algorithms in Data Mining
Classification============== #1. C4.5 Quinlan, J. R. 1993. C4.5: Programs for Machine Learning.Morga ...
- What is the most common software of data mining? (整理中)
What is the most common software of data mining? 1 Orange? 2 Weka? 3 Apache mahout? 4 Rapidminer? 5 ...
- cluster analysis in data mining
https://en.wikipedia.org/wiki/K-means_clustering k-means clustering is a method of vector quantizati ...
- Weka 3: Data Mining Software in Java
官方网站: Weka 3: Data Mining Software in Java 相关使用方法博客 WEKA使用教程(经典教程转载) (实例数据:bank-data.csv) Weka初步一.二. ...
随机推荐
- 分布式入门之2:Quorum机制
1. 全写读1(write all, read one) 全写读1是最直观的副本控制规则.写时,只有全部副本写成功,才算是写成功.这样,读取时只需要从其中一个副本上读数据,就能保证正确性. 这种规则 ...
- xshell5激活
Xshell是一个用于MS Windows平台的强大的SSH,TELNET,和RLOGIN终端仿真软件.它使得用户能轻松和安全地从Windows PC上访问Unix/Linux主机.以上内容全部为广告 ...
- push or get File or Folder using scp wrapped with expect and bash
经常需要把服务器的某些文件传到 Mac,或者获取 Mac 的一些文件到服务器.尽管有很多命令scp, ftp, rsync都可以,霸特每次都有敲好长的命令,好烦,而且还要输入密码.所以想着 wrap ...
- UI图标资源搜索
下面这些网站可以搜索图标资源,方面界面制作: 分享下http://www.tutorialcadet.com/20-user-interface-icon-sets-for-developers/下面 ...
- org.hibernate.AssertionFailure:collection[......] was not processed by flush()
八月 12, 2016 11:00:49 上午 org.apache.catalina.core.StandardWrapperValve invoke 严重: Servlet.service() f ...
- Struts框架 内部资料 请勿转载 谢谢合作
Struts框架 struts框架具有组件的模块化,灵活性和重用性的优点,同时简化了基于MVC的web应用程序的开发. 本章详细讨论struts架构.我们将看到struts是如何清晰地区分控制,事务逻 ...
- CSU 1660 K-Cycle(dfs判断无向图中是否存在长度为K的环)
题意:给你一个无向图,判断是否存在长度为K的环. 思路:dfs遍历以每一个点为起点是否存在长度为k的环.dfs(now,last,step)中的now表示当前点,last表示上一个访问的 点,step ...
- Bootstrap相关总结
1.工具提示 Tooltips js调用显示 $('#example').tooltip( { title:'这个是一个提示', }); $('#example').tooltip('show');
- js_保留关键字
网页可以被我们分为三个大的部分:结构,表现,形式而js就是专对于表现的,js是一门编程的解释性脚本语言,和其他的语言相同js也有自己的保留的关键字,下面我们来看看js保留的关键字吧!js一共有56个关 ...
- AtCoder Grand Contest 008 A
Problem Statement Snuke has a calculator. It has a display and two buttons. Initially, the display s ...