Course textbooks

    • Text 1: M. T. Oszu and P. Valduriez, Principles of Distributed Database Systems, 2nd ed., Prentice-Hall, 1999.
      Errata
    • Text 2: J. Han and M. Kamber, Data Mining: Concepts and Techniques, Morgan Kaufmann, 2000.
      Errata

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

  1. Machine Learning and Data Mining（机器学习与数据挖掘）

    Problems[show] Classification Clustering Regression Anomaly detection Association rules Reinforcemen ...

  2. 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 ...

  3. A web crawler design for data mining

    Abstract The content of the web has increasingly become a focus for academic research. Computer prog ...

  4. Datasets for Data Mining and Data Science

    https://github.com/mattbane/RecommenderSystem http://grouplens.org/datasets/movielens/ KDDCUP-2012官网 ...

  5. 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 ...

  6. 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 ...

  7. 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 ...

  8. cluster analysis in data mining

    https://en.wikipedia.org/wiki/K-means_clustering k-means clustering is a method of vector quantizati ...

  9. 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

  1. Java 之 List<T> 接口的实现：ArrayList

    Collection├List│├LinkedList│├ArrayList│└Vector│ └Stack└SetMap├Hashtable├HashMap└WeakHashMap ArrayLis ...

  2. spring-cloud-event-sourcing-example-master 运行效果及说明

    1.微服务架构下电商示例,部署成功!监控等技术细节未深入研究.      简单介绍:             配置服务(config-service ),端口8888,健康检查 xx:8888/hea ...

  3. C/C++二维数组的用法

    二维数组在存储时按行优先连续存储,数组名是一个二维指针,如 int a[3][2] 中,a 是一个二维指针,而a[0],a[1],a[2]都相当于普通的一位数组的数组名,是一个固定值的指针. 二维数组 ...

  4. 终端更新ubuntu系统

    1.sudo apt-get update 2. sudo apt-get dist-upgrade

  5. 实体框架高级应用之动态过滤 EntityFramework DynamicFilters

    实体框架高级应用之动态过滤 EntityFramework DynamicFilters 我们开门见山,直奔主题. 一.EntityFramework DynamicFilters 是什么,它能做什么 ...

  6. BigInteger和BigDecimal大数操作

    有时候可能会碰到需要计算非常大的数,比如7777777777777777777777777*3333333333333333333333333333,这样的计算需要显然不能用之前的方式来进行.我们不能 ...

  7. 这次是Selenide测试自动发送博客

    asdfasfdfsdaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaafdsfasdfdas

  8. Mac OS下基于Eclipse的Android调试环境搭建

    1.安装Eclipse:http://www.eclipse.org/downloads/,网页会自动检测适用的版本(Mac OS x64),下载“Eclipse IDE for java Devel ...

  9. Dagger2 使用初步

    Dagger2 是一个Android依赖注入框架,由谷歌开发,最早的版本Dagger1 由Square公司开发.依赖注入框架主要用于模块间解耦,提高代码的健壮性和可维护性.Dagger 这个库的取名不 ...

  10. easyUI 操作

    <a href="javascript:void(0)" onclick="locationUrl()">点击 自动加链接</a> fu ...