from here 论文Timeseries data mining(2012)中提出:时间序列数据挖掘包括7个基本任务和3个基础问题: 7 tasks: query by content clustering classification segmentation?? prediction anomaly detection motif discovery 3 Issues: data representation similarity measure indexing 现已有2013-201…

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…

Conference WSDM(Web Search and Data Mining)The ACM WSDM Conference Series 不像KDD.WWW或者SIGIR,WSDM因为从最开始就由不少工业界的学术领导人发起并且长期引领,所以十分重视工业界的学术成果的展现. 2017 WSDM 2017精选论文解读 2016 前沿理论.反思创新.产学结合--你不能错过的WSDM 2016大会 Accepted Paper 2015 严谨与特色并行--WSDM 2015大会见闻记 其他 聚…

以HADOOP为代表的云计算提供的仅仅是一个算法执行环境,为大数据的并行计算提供了在现有软硬件水平下最好的(近似)方法.并不能解决大数据应用中的全部问题.从详细应用而言,通过物联网方式接入IT圈的数据供应商(Data Provider)所面临的首要问题是数据分析的算法.其次才是算法的并行计算. 以汽车厂商(OEM,Tire1,Vendor,TSP)为例,所面临的大数据问题在 4V(Volume,Velocity,Variety,Veracity/Value)中,最突出的差异是Velocity,即…

Problem: ?? mining relationships in time series data; A new class of relationships in time series data. traditional methods: discover pair-wise relationships. Introduction: Challenge: discovery of complex patterns of relationships between individual…

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://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…