C. Baldauf

Artificial Intelligence · with Assent · 2011

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom C. Baldauf trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Charu C. Aggarwal
  2. Yixin Chen

Papers from C. Baldauf's perspective

Ordered by how strongly the researchers C. Baldauf trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  2. A Framework for Clustering Evolving Data Streams
  3. Streaming-data algorithms for high-quality clustering (Proceedings / International Conference on Data Engineering)
  4. A Framework for Projected Clustering of High Dimensional Data Streams
  5. Mining concept-drifting data streams using ensemble classifiers
  6. A streaming ensemble algorithm (SEA) for large-scale classification (Knowledge Discovery and Data Mining)
  7. MONIC: modeling and monitoring cluster transitions (Knowledge Discovery and Data Mining)
  8. BIRCH: an efficient data clustering method for very large databases
  9. Density-Based Clustering over an Evolving Data Stream with Noise
  10. Density-based clustering for real-time stream data

Their papers