Institute for Program Structures and Data Organization (IPD), Chair Prof. Böhm

Recent Research Topics in Data Analysis, Privacy and Machine Learning

Preliminary list of topics:

  • Diversity in test data generation
  • Sampling reduction methods for one-class classifiers
  • No-Free-Lunch Theorems in Machine Learning
  • Estimating Maximum Model Performance
  • Support vector machine active learning
  • Decision trees and Random forests active learning
  • (Pedagogical) Rule extraction
  • Differentially private database indices for answering range queries
  • Differentially privacy statistics on dynamic databases