Jure Leskovec, Stanford University - SNAP - Stanford University

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How to analyze large datasets to discover patterns and models that are: valid: hold on new data with some certainty novel: non-obvious to the system useful: should be possible to act on the item understandable: humans should be able to interpret the pattern How to do this using massive data (that does not fit into main memory) 3/9/2011 Jure Leskovec, Stanford C246: Mining Massive Datasets 44
Seminars: InfoSeminar: http://i.stanford.edu/infoseminar RAIN Seminar: http://rain.stanford.edu Conferences: KDD: ACM Conference on Knowledge Discovery and Data Mining ICDM: IEEE International Conference on Data Mining WWW: World Wide Web Conference ICML: International Conference on Machine Learning NIPS: Neural Information Processing Systems Some courses: CS341: Research Project in Data Mining CS224W: Social and Information Network Analysis CS276: Information Retrieval and Web Search CS229: Machine Learning CS448g: Interactive Data Analysis 3/9/2011 Jure Leskovec, Stanford C246: Mining Massive Datasets 45
Page 1 and 2: CS246: Mining Massive Datasets Jure
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Page 5 and 6: The crew of the space shuttle Endea
Page 7 and 8: Many problems can be expressed as f
Page 9 and 10: Shingling: convert docs to sets of
Page 11 and 12: ands Hash cols of signature matrix
Page 13 and 14: SciFi Romnce A = U Σ V T - exampl
Page 15 and 16: SciFi Romnce A = U Σ V T - exampl
Page 17 and 18: Hierarchical: Agglomerative (botto
Page 19 and 20: LSH: Find somewhat similar pairs o
Page 21 and 22: Rank nodes using link structure Pa
Page 23 and 24: HITS (Hypertext-Induced Topic Selec
Page 25 and 26: High-dimensional data: Locality Sen
Page 27 and 28: Distance metric: Euclidean How ma
Page 29 and 30: Building decision trees using MapRe
Page 33 and 34: Can’t store the whole stream but
Page 35 and 36: You get to see one input piece at a
Page 39 and 40: Observation: Subsets of a frequent
Page 41 and 42: User-user collaborative filtering
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Jure Leskovec, Stanford University - SNAP - Stanford University

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