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Duong Tuan Anh
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2020 – today
- 2024
- [j15]Bui Cong Giao, Duong Tuan Anh:
Subsequence Join in Streaming Time Series under Dynamic Time Warping. Vietnam. J. Comput. Sci. 11(2): 241-274 (2024) - 2023
- [c59]Nguyen Trong Nhan, Duong Tuan Anh, Jiri Dvorský:
Combining Dynamic Programming and GPU to accelerate k-Distance Discord Detection in Time Series Data. MLMI 2023: 106-113 - 2022
- [j14]Huynh Thi Thu Thuy, Duong Tuan Anh, Vo Thi Ngoc Chau:
Anomaly repair-based approach to improve time series forecasting. Intell. Data Anal. 26(2): 277-294 (2022) - [c58]Pham Ngoc Hung, Duong Tuan Anh:
Improving River Runoff Forecasting through Anomaly Detection and Repair. RIVF 2022: 250-255 - 2021
- [j13]Huynh Thi Thu Thuy, Duong Tuan Anh, Vo Thi Ngoc Chau:
Efficient segmentation-based methods for anomaly detection in static and streaming time series under dynamic time warping. J. Intell. Inf. Syst. 56(1): 121-146 (2021) - [c57]Huynh Thi Thu Thuy, Duong Tuan Anh, Vo Thi Ngoc Chau:
Segmentation-Based Methods for Top-k Discords Detection in Static and Streaming Time Series Under Euclidean Distance. ICCASA 2021: 147-163 - [c56]Duong Tuan Anh, Nguyen Van Hien:
A Dynamic Programming Approach for Time Series Discord Detection. ICCASA 2021: 255-266 - [c55]Tran Van Hoa, Duong Tuan Anh, Duong Ngoc Hieu:
Foreign Exchange Rate Forecasting using Autoencoder and LSTM Networks. ICIIT 2021: 22-28 - [c54]Huynh Thi Thu Thuy, Duong Tuan Anh, Vo Thi Ngoc Chau:
A new discord definition and an efficient time series discord detection method using GPUs. ICSED 2021: 63-70 - [c53]Nguyen Ngoc Phien, Duong Tuan Anh, Jan Platos:
A Comparison between Deep Belief Network and LSTM in Chaotic Time Series Forecasting. MLMI 2021: 157-163 - 2020
- [j12]Bui Cong Giao, Duong Tuan Anh:
Efficient search for top-k discords in streaming time series. Int. J. Bus. Intell. Data Min. 16(4): 397-417 (2020) - [c52]Bui Tan Kinh, Duong Tuan Anh, Duong Ngoc Hieu:
A Comparison Between Stacked Auto-Encoder and Deep Belief Network in River Run-Off Prediction. ICCASA/ICTCC 2020: 65-81
2010 – 2019
- 2019
- [j11]Cao Duy Truong, Duong Tuan Anh:
A survey on time series motif discovery. Int. J. Bus. Intell. Data Min. 15(2): 204-227 (2019) - [c51]Nguyen Van Kier, Duong Tuan Anh:
An Effective Implementation of Motif-Based Time Series Classification. RIVF 2019: 1-6 - [c50]Huynh Thi Thu Thuy, Duong Tuan Anh, Vo Thi Ngoc Chau:
Incremental Clustering for Time Series Data Based on an Improved Leader Algorithm. RIVF 2019: 1-6 - [c49]Nguyen Ngoc Phien, Nguyen Trong Nhan, Duong Tuan Anh:
An Efficient Method for Discovering Variable-length Motifs in Time Series based on Suffix Array. SoICT 2019: 125-131 - 2018
- [c48]Pham Minh Chau, Bui Minh Duc, Duong Tuan Anh:
Discord Detection in Streaming Time Series with the Support of R-Tree. ACOMP 2018: 96-103 - [c47]Huynh Thi Thu Thuy, Duong Tuan Anh, Vo Thi Ngoc Chau:
A Novel Method for Time Series Anomaly Detection based on Segmentation and Clustering. KSE 2018: 276-281 - [c46]Pham Thanh Xuan, Duong Tuan Anh:
An Efficient Hash-Based Method for Time Series Motif Discovery. MIWAI 2018: 205-211 - [c45]Pham Minh Chau, Bui Minh Duc, Duong Tuan Anh:
Discord Discovery in Streaming Time Series based on an Improved HOT SAX Algorithm. SoICT 2018: 24-30 - 2017
- [j10]Vo Thanh Vinh, Duong Tuan Anh:
Instance reduction for time series classification using MDL principle. Intell. Data Anal. 21(3): 491-514 (2017) - [j9]Cao Duy Truong, Duong Tuan Anh:
A novel clustering-based method for time series motif discovery under time warping measure. Int. J. Data Sci. Anal. 4(2): 113-126 (2017) - [c44]Bui Cong Giao, Duong Tuan Anh:
An Application of Similarity Search in Streaming Time Series under DTW: Online Forecasting. SoICT 2017: 10-17 - [c43]Cao Duy Truong, Duong Tuan Anh:
Discovering Motifs in a Database of Shapes under Rotation Invariant Dynamic Time Warping. SoICT 2017: 18-25 - 2016
- [j8]Duong Tuan Anh, Nguyen Van Nhat:
An efficient implementation of EMD algorithm for motif discovery in time series data. Int. J. Data Min. Model. Manag. 8(2): 180-194 (2016) - [j7]Vo Thanh Vinh, Duong Tuan Anh:
Two Novel Techniques to Improve MDL-Based Semi-Supervised Classification of Time Series. Trans. Comput. Collect. Intell. 25: 127-147 (2016) - [j6]Bui Cong Giao, Duong Tuan Anh:
Similarity search for numerous patterns over multiple time series streams under dynamic time warping which supports data normalization. Vietnam. J. Comput. Sci. 3(3): 181-196 (2016) - [c42]Ngo Duy Khanh Vy, Duong Tuan Anh:
Detecting Variable Length Anomaly Patterns in Time Series Data. DMBD 2016: 279-287 - [c41]Vo Duc Vinh, Nguyen Phuc Chau, Duong Tuan Anh:
An Efficient Method for Time Series Join on Subsequence Correlation Using Longest Common Substring Algorithm. ICCASA 2016: 121-131 - [c40]Huynh Thi Thu Thuy, Duong Tuan Anh, Vo Thi Ngoc Chau:
Some Efficient Segmentation-Based Techniques to Improve Time Series Discord Discovery. ICTCC 2016: 179-188 - [c39]Bui Cong Giao, Duong Tuan Anh:
Improving SPRING Method in Similarity Search Over Time-Series Streams by Data Normalization. ICTCC 2016: 189-202 - [c38]Dang Xuan Binh, Duong Tuan Anh:
A suite of techniques to improve random projection in time series motif discovery. RIVF 2016: 13-18 - [c37]Van The Huy, Duong Tuan Anh:
An efficient implementation of anytime k-medoids clustering for time series under dynamic time warping. SoICT 2016: 22-29 - [c36]Luong Van Do, Duong Tuan Anh:
Some improvements for time series subsequence join based on pearson correlation coefficients. SoICT 2016: 58-65 - 2015
- [j5]Duong Tuan Anh, Le Huu Thanh:
An efficient implementation of k-means clustering for time series data with DTW distance. Int. J. Bus. Intell. Data Min. 10(3): 213-232 (2015) - [j4]Cao Duy Truong, Duong Tuan Anh:
An efficient method for motif and anomaly detection in time series based on clustering. Int. J. Bus. Intell. Data Min. 10(4): 356-377 (2015) - [c35]Nguyen Hoang An, Duong Tuan Anh:
Comparison of Strategies for Multi-step-Ahead Prediction of Time Series Using Neural Network. ACOMP 2015: 142-149 - [c34]Vo Thanh Vinh, Duong Tuan Anh:
Compression rate distance measure for time series. DSAA 2015: 1-10 - [c33]Vo Thanh Vinh, Duong Tuan Anh:
Constraint-Based MDL Principle for Semi-Supervised Classification of Time Series. KSE 2015: 43-48 - [c32]Bui Cong Giao, Duong Tuan Anh:
Similarity Search for Numerous Patterns in Multiple High-Speed Time-Series Streams. KSE 2015: 314-317 - [c31]Phan Thi Bao Tran, Vo Thi Ngoc Chau, Duong Tuan Anh:
Towards Efficiently Mining Frequent Interval-Based Sequential Patterns in Time Series Databases. MIWAI 2015: 125-136 - [c30]Nguyen Huy Kha, Duong Tuan Anh:
From Cluster-Based Outlier Detection to Time Series Discord Discovery. PAKDD Workshops 2015: 16-28 - [c29]Bui Cong Giao, Duong Tuan Anh:
Improving Sort-Tile-Recusive algorithm for R-tree packing in indexing time series. RIVF 2015: 117-122 - 2014
- [j3]Duong Tuan Anh, Tran Thi Thanh Nga:
Similarity search in streaming time series with the support of Skyline index. Int. J. Bus. Intell. Data Min. 9(1): 31-51 (2014) - [c28]Vo Thanh Vinh, Duong Tuan Anh:
Some Novel Improvements for MDL-Based Semi-supervised Classification of Time Series. ICCCI 2014: 483-493 - [c27]Bui Cong Giao, Duong Tuan Anh:
Efficient k-Nearest Neighbor Search for Static Queries over High Speed Time-Series Streams. ICTCC 2014: 83-97 - [c26]Cao Duy Truong, Duong Tuan Anh:
A Fast Method for Motif Discovery in Large Time Series Database under Dynamic Time Warping. KSE 2014: 155-167 - [c25]Nguyen Hoai Le, Duong Tuan Anh:
Extracting rules from neural networks for time series prediction. SoICT 2014: 218-225 - 2013
- [c24]Cao Duy Truong, Duong Tuan Anh:
An Efficient Method for Discovering Motifs in Large Time Series. ACIIDS (1) 2013: 135-145 - [c23]Cao Duy Truong, Duong Tuan Anh:
An Efficient Method for Discovering Motifs in Streaming Time Series Data. KSE (1) 2013: 225-236 - [c22]Phan Thi Bao Tran, Vo Thi Ngoc Chau, Duong Tuan Anh:
An Efficient Interval-Based Approach to Mining Frequent Patterns in a Time Series Database. MIWAI 2013: 211-222 - [c21]Doan Ngoc Bao, Ngo Duy Khanh Vy, Duong Tuan Anh:
A hybrid method for forecasting trend and seasonal time series. RIVF 2013: 203-208 - [c20]Nguyen Quoc Viet Hung, Duong Tuan Anh:
Using motif information to improve anytime time series classification. SoCPaR 2013: 1-6 - 2012
- [j2]Cao Duy Truong, Huynh Nguyen Tin, Duong Tuan Anh:
Combining motif information and neural network for time series prediction. Int. J. Bus. Intell. Data Min. 7(4): 318-339 (2012) - [c19]Cao Duy Truong, Duong Tuan Anh:
Time Series Prediction Using Motif Information. MIWAI 2012: 110-121 - [c18]Tran Cong Doi, Quan Thanh Tho, Duong Tuan Anh:
Efficient Handling of 2D Image Queries Using VPC + -tree. MIWAI 2012: 176-187 - [c17]Vuong Ba Thinh, Duong Tuan Anh:
Time Series Clustering Based on I-k-Means and Multi-Resolution PLA Transform. RIVF 2012: 1-4 - [c16]Nguyen Cong Thuong, Duong Tuan Anh:
Comparing three lower bounding methods for DTW in time series classification. SoICT 2012: 200-206 - [c15]Nguyen Dang Kim Khanh, Duong Tuan Anh:
Time series discord discovery using WAT algorithm and iSAX representation. SoICT 2012: 207-213 - 2011
- [j1]Duong Tuan Anh, Nguyen Thanh Trung:
Three improved variants of simulated annealing for optimising dorm room assignments. Int. J. Intell. Inf. Database Syst. 5(3): 296-312 (2011) - [c14]Le Phu, Duong Tuan Anh:
Motif-Based Method for Initialization the K-Means Clustering for Time Series Data. Australasian Conference on Artificial Intelligence 2011: 11-20 - [c13]Huynh Tran Quoc Buu, Duong Tuan Anh:
Time Series Discord Discovery Based on iSAX Symbolic Representation. KSE 2011: 11-18 - [c12]Vo Le Quy Nhon, Duong Tuan Anh:
A BIRCH-Based Clustering Method for Large Time Series Databases. PAKDD Workshops 2011: 148-159 - 2010
- [c11]Nguyen Huu Bao Quoc, Duong Tuan Anh:
Combining Constraint Programming and Tabu Search to Solve Vehicle Routing Problem with Time Windows. RIVF 2010: 1-4 - [c10]Son Thai Mai, Duong Tuan Anh:
EWAT+: Finding Time Series Discords Based on New Discord Measure Functions. RIVF 2010: 1-4 - [p1]Son Thai Mai, Duong Tuan Anh:
Some Novel Heuristics for Finding the Most Unusual Time Series Subsequences. Advances in Intelligent Information and Database Systems 2010: 229-240
2000 – 2009
- 2009
- [c9]Pham Van Chung, Duong Tuan Anh:
From Checking Integrity Constraints to Temporal Abstraction for Clinical Databases. ACIIDS 2009: 121-126 - [c8]Nguyen Thanh Trung, Tran Ngoc Tuan, Duong Tuan Anh:
Informed Simulated Annealing for Optimizing Dorm Room Assignments. ACIIDS 2009: 265-270 - [c7]Nguyen Thanh Trung, Duong Tuan Anh:
Comparing Three Improved Variants of Simulated Annealing for Optimizing Dorm Room Assignments. RIVF 2009: 1-5 - 2008
- [c6]Nguyen Quoc Viet Hung, Duong Tuan Anh:
An Improvement of PAA for Dimensionality Reduction in Large Time Series Databases. PRICAI 2008: 698-707 - 2007
- [c5]Pham Van Chung, Duong Tuan Anh:
Applying Temporal Abstraction in Clinical Databases. RIVF 2007: 192-199 - 2006
- [c4]Duong Tuan Anh, Vo Hoang Tam, Nguyen Quoc Viet Hung:
Generating complete university course timetables by using local search methods. RIVF 2006: 67-74 - 2003
- [c3]Duong Tuan Anh:
Constraint Retraction for Dynamic Constraint Satisfaction Problems over Disjoint Real Intervals. HPSC 2003: 1-14
1990 – 1999
- 1996
- [c2]Duong Tuan Anh, Kanchana Kanchanasut:
An Incremental Solver for Constraint Hierarchies over Real Intervals. IEA/AIE 1996: 395-402 - 1995
- [c1]Duong Tuan Anh, Kanchana Kanchanasut:
Arc-Consistency for Dynamic Constraint Satisfaction Problems over Real Intervals. IEA/AIE 1995: 247-254
Coauthor Index
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last updated on 2024-09-22 00:38 CEST by the dblp team
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