Abdullah Mueen

Signal Processing · Knowledge Discovery and Data Mining · 2009–2016

A researcher in the Science corpus: 5 papers; trusts 6 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Abdullah Mueen trusts overall

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

  1. Eamonn J. Keogh
  2. Chotirat (Ann) Ratanamahatana
  3. Pierre Geurts
  4. Nitesh V. Chawla
  5. Kaushik Chakrabarti
  6. Hui Ding
  7. Lexiang Ye
  8. Yuhan Cai
  9. Sang-Wook Kim
  10. David Goldberg

Who trusts Abdullah Mueen overall

  1. Charu C. Aggarwal
  2. John Paparrizos
  3. Anthony J. Bagnall
  4. Jason Lines
  5. Jon Hills
  6. Luis Gravano
  7. Eamonn J. Keogh
  8. Rohit J. Kate
  9. Mustafa Gokce Baydogan
  10. Ben D. Fulcher

Papers from Abdullah Mueen's perspective

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

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

Their papers