H. Cao

Industrial Conference on Data Mining · 2004–2016

A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Whom H. Cao trusts overall

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

1. Eamonn J. Keogh
2. Rakesh Agrawal
3. Stefano Lonardi

Who trusts H. Cao overall

1. Yu Zheng
2. Manolis Terrovitis
3. Gowtham Atluri
4. Nikos Mamoulis
5. Anuj Karpatne
6. Vipin Kumar
7. Fosca Giannotti

Papers from H. Cao's perspective

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

1. Finding surprising patterns in a time series database in linear time and space (Knowledge Discovery and Data Mining)
2. A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise
3. Fast Algorithms for Mining Association Rules
4. MV3R-Tree: A Spatio-Temporal Access Method for Timestamp and Interval Queries (Very Large Data Bases Conference)
5. Novel Approaches in Query Processing for Moving Object Trajectories (Very Large Data Bases Conference)
6. Mining, indexing, and querying historical spatiotemporal data (Knowledge Discovery and Data Mining)
7. Mining top-k frequent closed patterns without minimum support (IEEE International Conference on Data Mining. Proceedings)
8. An online algorithm for segmenting time series (Proceedings 2001 IEEE International Conference on Data Mining)
9. Pattern classification and scene analysis
10. Dimensionality Reduction for Fast Similarity Search in Large Time Series Databases

Their papers

• Characterizing and quantifying noise in PMU data (2016) — 216 citations
• Mining frequent spatio-temporal sequential patterns (2005) — 331 citations
• Mining, indexing, and querying historical spatiotemporal data (2004) — 329 citations