Data Management Systems

This GitBook notes are maintained by zealscott.

Material

1. "Introduction to Data Mining” by Pang-Ning Tan, Michael Steinbach, Vipin Kuma

Project

• Data
  • KDD Cup

Syllabus

Reading

1. Topic: Rumor detection
   • Prominent Features of Rumor Propagation in Online Social Media
   • Detect Rumors Using Time Series of Social Context Information on Microblogging Websites
2. Topic: Graph
   • Fast Discovery of Connection Subgraphs
   • Compression of Weighted Graphs
3. Topic: Time series: shapelets
   • Learning time-series shapelets
   • Time series shapelets a new primitive for data mining
4. Topic: Socal data
   • Predicting Online Protest Participation of Social Media Users
   • TweetFit: Fusing Multiple Social Media and Sensor Data for Wellness Profile Learning
5. Topic: networks
   • Community structure in social and biological networks
   • Detecting community structure in networks
6. Topic: Health
   • Risk Prediction with Electronic Health Records: A Deep Learning Approach
   • Using recurrent neural network models for early detection of heart failure onset
7. Topic: Social
   • Interpretable Decision Sets
   • MobileMiner: Mining Your Frequent Patterns on Your Phone
8. Topic: Multi-view Learning
   • Multi-View Clustering and Semi-Supervised Classification with Adaptive Neighbours
   • Incomplete Multi-View Weak-Label Learning
9. Topic：Transfer Learning
   • Multi-Adversarial Domain Adaptation
   • Distant Domain Transfer Learning
10. Topic: ML with DL
    • Gaussian Conditional Random Field Network for Semantic Segmentation
    • Conditional Random Fields as Recurrent Neural Networks
11. Topic:
    • Multi-Type Itemset Embedding for Learning Behavior Success
    • TruePIE Discovering Reliable Patterns in Pattern-Based Information Extraction