Hui Ding

Signal Processing · with Keogh · 2008–2010

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Hui Ding trusts overall

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

  1. Eamonn J. Keogh
  2. Lei Chen
  3. Pierre Geurts
  4. Lei Chen
  5. Raymond T. Ng
  6. Kaushik Chakrabarti
  7. Ivan Popivanov
  8. Yuhan Cai
  9. Ron Kohavi
  10. Chotirat (Ann) Ratanamahatana

Who trusts Hui Ding overall

  1. Eamonn J. Keogh
  2. Rohit J. Kate
  3. Jason Lines
  4. John Paparrizos
  5. Anthony J. Bagnall
  6. Yi Zheng
  7. Ben D. Fulcher
  8. Lexiang Ye
  9. Pablo Montero
  10. Philippe Esling

Papers from Hui Ding's perspective

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

  1. Locally adaptive dimensionality reduction for indexing large time series databases (ACM SIGMOD Conference)
  2. Exact indexing of dynamic time warping (Knowledge and Information Systems)
  3. Discovering similar multidimensional trajectories (Proceedings / International Conference on Data Engineering)
  4. Using Dynamic Time Warping to Find Patterns in Time Series
  5. Dimensionality Reduction for Fast Similarity Search in Large Time Series Databases
  6. On the Need for Time Series Data Mining Benchmarks: A Survey and Empirical Demonstration
  7. Similarity search over time-series data using wavelets (Proceedings / International Conference on Data Engineering)
  8. An index-based approach for similarity search supporting time warping in large sequence databases (Proceedings / International Conference on Data Engineering)
  9. Pattern Extraction for Time Series Classification (European Conference on Principles of Data Mining and Knowledge Discovery)
  10. Warping indexes with envelope transforms for query by humming (ACM SIGMOD Conference)

Their papers