TagsArticle Source
Mining Massive Data Sets - Winter 2017
- 01/10: Introduction; MapReduce Slides: [pptx], [pdf] Reading: Ch1: Data Mining and Ch2: Large-Scale File Systems and Map-Reduce (Sect. 2.1-2.4)
- 01/12: Frequent Itemsets Mining Slides: [pptx], [pdf] Reading: Ch6: Frequent itemsets
- 01/17: Locality-Sensitive Hashing I Slides: [pptx], [pdf] Reading: Ch3: Finding Similar Items (Sect. 3.1-3.4)
- 01/19: Locality-Sensitive Hashing II Slides: [pptx], [pdf] Reading: Ch3: Finding Similar Items (Sect. 3.5-3.8)
- 01/24: Clustering Slides: [pptx], [pdf] Reading: Ch7: Clustering (Sect. 7.1-7.4)
- 01/26: Dimensionality Reduction Slides: [pptx], [pdf] Reading: Ch11: Dimensionality Reduction (Sect. 9.4)
- 01/31: PageRank Slides: [pptx], [pdf] Reading: Ch5: Link Analysis (Sect. 5.1-5.3, 5.5)
- 02/02: Link Spam and Introduction to Social Networks Slides: [pptx], [pdf] Reading: Ch5: Link Analysis (Sect. 5.4) Reading: Ch10: Analysis of Social Networks (Sect. 0.1-10.2, 10.6)
- 02/07: Social Networks Slides:[pptx][pdf] Reading: Ch10: Analysis of Social Networks (Sect.10.3-10.5)
- 02/09: Algorithms on Large Graphs Slides: [pptx], [pdf] Reading: Ch10: Analysis of Social Networks (Sect. 10.7-10.8)
- 02/14: Recommender Systems I Slides: [pdf] Reading: Ch9: Recommendation systems
- 02/16: Recommender Systems II Slides: [pdf] Reading: Ch9: Recommendation systems
- 02/21: Large-Scale Machine Learning I Slides: [pptx], [pdf] Reading: Ch12: Large-Scale Machine Learning
- 02/23: Large-Scale Machine Learning II Slides: [pptx], [pdf] Reading: Ch12: Large-Scale Machine Learning
- 02/28: Mining Data Streams I Slides: [pptx], [pdf] Reading: Ch4: Mining data streams (Sect. 4.1-4.3)
- 03/02: Mining Data Streams II Slides: [pptx], [pdf] Reading: Ch4: Mining data streams (Sect. 4.4-4.7)
- 03/07: Computational Advertising Slides: [pptx], [pdf] Reading: Ch8: Advertising on the Web
- 03/09: Complexity Theory for MapReduce Algorithms Slides: [pptx], [pdf] Reading: Ch2: Large-Scale File Systems and Map-Reduce (Sect. 2.5-2.6)
- 03/14: Large Scale Recommender systems at Pinterest (Jure Leskovec)
- 03/16: Review Slides: [pdf]
All readings have been derived from the Mining Massive Datasets by J. Leskovec, A. Rajaraman and J. Ullman.