北京大学：《大规模数据处理——云计算 Mass Data Processing Cloud Computing》课程教学资源（PPT课件）Clustering问题 Clustering

Last Course Review & Reading Check Document Retrieval &Inverted Index PageRank Algorithm

Functional Language and MapReduce MapReduce Basic MapReduce Algorithm Design Hadoop and Java Practice

北京大学：《大规模数据处理——云计算 Mass Data Processing Cloud Computing》课程教学资源（PPT课件）MapReduce原理 MapReduce Theory and Practice

 Motivation – Why do we need big data integration? – How has “small” data integration been done? – Challenges in big data integration  Schema alignment  Record linkage  Data fusion  Emerging topics

1 Introduction 2 MapReduce Basics 3 MapReduce algorithm design 4 Inverted Indexing for Text Retrieval 5 Graph Algorithms 6 EM Algorithms for Text Processing 7 Closing Remarks

《大规模数据处理——云计算 Mass Data Processing Cloud Computing》课程教学资源（阅读材料）MapReduce——Simplified Data Processing on Large Clusters

《大规模数据处理——云计算 Mass Data Processing Cloud Computing》课程教学资源（阅读材料）The Google File System（GFS）

《大规模数据处理——云计算 Mass Data Processing Cloud Computing》课程教学资源（阅读材料）k-means++——The Advantages of Careful Seeding

《大规模数据处理——云计算 Mass Data Processing Cloud Computing》课程教学资源（阅读材料）Efficient Clustering of High-Dimensional Data Sets with Application to Reference Matching