2021 Spring Instructor: Yao-Yi Chiang
| Assignments | Topic | Programming Language | Algorithms |
|---|---|---|---|
| 1 | Data Exploration | Python, Spark | MapReduce |
| 2 | Find Frequent Itemsets | Python, Spark | A-Priori, PCY, SON |
| 3 | Find Similar Items & Recommendation System | Python, Spark | Min-Hash, LSH; Content-based, Collaborative Filtering(Item-based & User-based) |
| 4 | Social Network communities | Python, Spark | Girvan-Newman, label propagation |
| 5 | Clustering | Python, Spark | K-Means, Bradley-Fayyad-Reina (BFR) |
| 6 | Streaming Data | Python, Spark | Bloom filter, Flajolet Martin, Reservoir Sampling |
| Final Competition Project | Hybrid Recommendation System | Python, Spark | Improve Recommendation system in HW3 by using model based and hybrid approaches |