Seungwoo Jeon
Management Science and Operations Research · 2018
A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Management Science and Operations Research — 9 citations into it
- Artificial Intelligence — 6 citations into it
- Economics and Econometrics — 5 citations into it
- Signal Processing — 5 citations into it
Whom Seungwoo Jeon trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ming-Chi Lee
- Jonathan L. Ticknor
- Lijuan Cao
- Kyoung-jae Kim
- Lei Chen
- Michail Vlachos
- Lei Chen
- Johan Bollen
- Jessica Lin
- Ingoo Han
Who trusts Seungwoo Jeon overall
Papers from Seungwoo Jeon's perspective
Ordered by how strongly the researchers Seungwoo Jeon trusts endorse each paper. Same corpus, a different order for every researcher.
- Discovering similar multidimensional trajectories (Proceedings / International Conference on Data Engineering)
- Using Dynamic Time Warping to Find Patterns in Time Series
- Financial Forecasting Using Support Vector Machines (Neural computing & applications (Print))
- Stock market prediction system with modular neural networks
- A symbolic representation of time series, with implications for streaming algorithms (Workshop on Research Issues on Data Mining and Knowledge Discovery)
- Twitter mood predicts the stock market
- Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index
- On The Marriage of Lp-norms and Edit Distance (Very Large Data Bases Conference)
- Oil shocks and their impact on energy related stocks in China
- Locally adaptive dimensionality reduction for indexing large time series databases (ACM SIGMOD Conference)
Their papers
- Pattern graph tracking-based stock price prediction using big data (2018) — 73 citations