◼ Why Data Mining? ◼ What Is Data Mining? ◼ A Multi-Dimensional View of Data Mining ◼ What Kinds of Data Can Be Mined? ◼ What Kinds of Patterns Can Be Mined? ◼ What Kinds of Technologies Are Used? ◼ What Kinds of Applications Are Targeted? ◼ Major Issues in Data Mining ◼ A Brief History of Data Mining and Data Mining Society ◼ Summary
• Model Selection for SVM • Primal SVM • Model selection 1) Bilevel Program for CV 2) Two optimization Methods: Impilicit & Explicit methods 3) Experiments 4) Conclusions • Our intent works • Works related to matrix patterns • Zero-Shot Learning • How to Approximate more real scenario for research topics