Chapter 1 data mining is knowledge discovery from data; The knowledge discovery process is an iterative sequence of 7 steps: data cleaning: to remove noise and inconsistent data data integration: where multiple data sources may be combined (step1 and…

data ------> knowledge Are all patterns interesting? No. only a small fraction of the patterns potentially generated would actually be of interest to a given user. What makes a pattern interesting? easily understood by humans valid potentially useful…

Why: real-world data are typically noisy, enormous in volume, and may originate from a hodgepodge of heterogeneous sources. mean; median; mode(most common value); distribution; Knowing such basic statistics regarding each attribute makes it easier to…

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 Th…

What is the most common software of data mining? 1 Orange? 2 Weka? 3 Apache mahout? 4 Rapidminer? 5 R? and which one? If you have any explanation about the topic, I appreciate it.…

Data mining is the process of finding patterns in a given data set. These patterns can often provide meaningful and insightful data to whoever is interested in that data. Data mining is used today in a wide variety of contexts – in fraud detection, a…

Abstract The content of the web has increasingly become a focus for academic research. Computer programs are needed in order to conduct any large-scale processing of web pages, requiring the use of a web crawler at some stage in order to fetch the pa…

https://github.com/mattbane/RecommenderSystem http://grouplens.org/datasets/movielens/ KDDCUP-2012官网 From kdnuggets Data repositories AWS (Amazon Web Services) Public Data Sets, provides a centralized repository of public data sets that can be seamle…

https://en.wikipedia.org/wiki/K-means_clustering k-means clustering is a method of vector quantization, originally from signal processing, that is popular for cluster analysis in data mining. k-means clustering aims to partition n observations into k…

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初步一.二.三.四 使用Weka进行数据挖掘 一个小时速度入门数据挖掘WEKA(一个完整的小例子) 百度文库 WEKA中文详细教程(全) WEKA 3-5-3 Experimenter 指南 数据挖掘工具(weka教程)   基本概念 classify分类     cluster聚类     Associate…