Duong Tuan Anh

Orcid: 0000-0003-3340-7117

According to our database1, Duong Tuan Anh authored at least 73 papers between 1995 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Combining Dynamic Programming and GPU to accelerate k-Distance Discord Detection in Time Series Data.
Proceedings of the 6th International Conference on Machine Learning and Machine Intelligence, 2023

2022
Anomaly repair-based approach to improve time series forecasting.
Intell. Data Anal., 2022

Improving River Runoff Forecasting through Anomaly Detection and Repair.
Proceedings of the RIVF International Conference on Computing and Communication Technologies, 2022

2021
Efficient segmentation-based methods for anomaly detection in static and streaming time series under dynamic time warping.
J. Intell. Inf. Syst., 2021

A Comparison between Deep Belief Network and LSTM in Chaotic Time Series Forecasting.
Proceedings of the MLMI 2021: The 4th International Conference on Machine Learning and Machine Intelligence, Hangzhou, China, September 17, 2021

A new discord definition and an efficient time series discord detection method using GPUs.
Proceedings of the ICSED 2021: 3rd International Conference on Software Engineering and Development, Xiamen, China, November 19, 2021

Foreign Exchange Rate Forecasting using Autoencoder and LSTM Networks.
Proceedings of the ICIIT '21: 6th International Conference on Intelligent Information Technology, Ho Chi Minh, Vietnam, February 25, 2021

Segmentation-Based Methods for Top-k Discords Detection in Static and Streaming Time Series Under Euclidean Distance.
Proceedings of the Context-Aware Systems and Applications, 2021

A Dynamic Programming Approach for Time Series Discord Detection.
Proceedings of the Context-Aware Systems and Applications, 2021

2020
Efficient search for top-<i>k</i> discords in streaming time series.
Int. J. Bus. Intell. Data Min., 2020

2019
A survey on time series motif discovery.
Int. J. Bus. Intell. Data Min., 2019

An Efficient Method for Discovering Variable-length Motifs in Time Series based on Suffix Array.
Proceedings of the Tenth International Symposium on Information and Communication Technology, 2019

Incremental Clustering for Time Series Data Based on an Improved Leader Algorithm.
Proceedings of the 2019 IEEE-RIVF International Conference on Computing and Communication Technologies, 2019

An Effective Implementation of Motif-Based Time Series Classification.
Proceedings of the 2019 IEEE-RIVF International Conference on Computing and Communication Technologies, 2019

2018
Discord Discovery in Streaming Time Series based on an Improved HOT SAX Algorithm.
Proceedings of the Ninth International Symposium on Information and Communication Technology, 2018

An Efficient Hash-Based Method for Time Series Motif Discovery.
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2018

A Novel Method for Time Series Anomaly Detection based on Segmentation and Clustering.
Proceedings of the 10th International Conference on Knowledge and Systems Engineering, 2018

Discord Detection in Streaming Time Series with the Support of R-Tree.
Proceedings of the 2018 International Conference on Advanced Computing and Applications, 2018

2017
A novel clustering-based method for time series motif discovery under time warping measure.
Int. J. Data Sci. Anal., 2017

Instance reduction for time series classification using MDL principle.
Intell. Data Anal., 2017

Discovering Motifs in a Database of Shapes under Rotation Invariant Dynamic Time Warping.
Proceedings of the Eighth International Symposium on Information and Communication Technology, 2017

An Application of Similarity Search in Streaming Time Series under DTW: Online Forecasting.
Proceedings of the Eighth International Symposium on Information and Communication Technology, 2017

2016
Similarity search for numerous patterns over multiple time series streams under dynamic time warping which supports data normalization.
Vietnam. J. Comput. Sci., 2016

Two Novel Techniques to Improve MDL-Based Semi-Supervised Classification of Time Series.
Trans. Comput. Collect. Intell., 2016

An efficient implementation of EMD algorithm for motif discovery in time series data.
Int. J. Data Min. Model. Manag., 2016

An efficient implementation of anytime k-medoids clustering for time series under dynamic time warping.
Proceedings of the Seventh Symposium on Information and Communication Technology, 2016

Some improvements for time series subsequence join based on pearson correlation coefficients.
Proceedings of the Seventh Symposium on Information and Communication Technology, 2016

A suite of techniques to improve random projection in time series motif discovery.
Proceedings of the 2016 IEEE RIVF International Conference on Computing & Communication Technologies, 2016

Some Efficient Segmentation-Based Techniques to Improve Time Series Discord Discovery.
Proceedings of the Nature of Computation and Communication, 2016

Improving SPRING Method in Similarity Search Over Time-Series Streams by Data Normalization.
Proceedings of the Nature of Computation and Communication, 2016

An Efficient Method for Time Series Join on Subsequence Correlation Using Longest Common Substring Algorithm.
Proceedings of the Context-Aware Systems and Applications - 5th International Conference, 2016

Detecting Variable Length Anomaly Patterns in Time Series Data.
Proceedings of the Data Mining and Big Data, First International Conference, 2016

2015
An efficient method for motif and anomaly detection in time series based on clustering.
Int. J. Bus. Intell. Data Min., 2015

An efficient implementation of k-means clustering for time series data with DTW distance.
Int. J. Bus. Intell. Data Min., 2015

Improving Sort-Tile-Recusive algorithm for R-tree packing in indexing time series.
Proceedings of the 2015 IEEE RIVF International Conference on Computing & Communication Technologies, 2015

From Cluster-Based Outlier Detection to Time Series Discord Discovery.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2015

Towards Efficiently Mining Frequent Interval-Based Sequential Patterns in Time Series Databases.
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2015

Constraint-Based MDL Principle for Semi-Supervised Classification of Time Series.
Proceedings of the 2015 Seventh International Conference on Knowledge and Systems Engineering, 2015

Similarity Search for Numerous Patterns in Multiple High-Speed Time-Series Streams.
Proceedings of the 2015 Seventh International Conference on Knowledge and Systems Engineering, 2015

Compression rate distance measure for time series.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

Comparison of Strategies for Multi-step-Ahead Prediction of Time Series Using Neural Network.
Proceedings of the 2015 International Conference on Advanced Computing and Applications, 2015

2014
Similarity search in streaming time series with the support of Skyline index.
Int. J. Bus. Intell. Data Min., 2014

Extracting rules from neural networks for time series prediction.
Proceedings of the Fifth Symposium on Information and Communication Technology, 2014

A Fast Method for Motif Discovery in Large Time Series Database under Dynamic Time Warping.
Proceedings of the Knowledge and Systems Engineering, 2014

Efficient k-Nearest Neighbor Search for Static Queries over High Speed Time-Series Streams.
Proceedings of the Nature of Computation and Communication - International Conference, 2014

Some Novel Improvements for MDL-Based Semi-supervised Classification of Time Series.
Proceedings of the Computational Collective Intelligence. Technologies and Applications, 2014

2013
Using motif information to improve anytime time series classification.
Proceedings of the 2013 International Conference on Soft Computing and Pattern Recognition, 2013

A hybrid method for forecasting trend and seasonal time series.
Proceedings of the 2013 IEEE RIVF International Conference on Computing and Communication Technologies, 2013

An Efficient Interval-Based Approach to Mining Frequent Patterns in a Time Series Database.
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2013

An Efficient Method for Discovering Motifs in Streaming Time Series Data.
Proceedings of the Knowledge and Systems Engineering, 2013

An Efficient Method for Discovering Motifs in Large Time Series.
Proceedings of the Intelligent Information and Database Systems - 5th Asian Conference, 2013

2012
Combining motif information and neural network for time series prediction.
Int. J. Bus. Intell. Data Min., 2012

Comparing three lower bounding methods for DTW in time series classification.
Proceedings of the Symposium on Information and Communication Technology 2012, 2012

Time series discord discovery using WAT algorithm and iSAX representation.
Proceedings of the Symposium on Information and Communication Technology 2012, 2012

Time Series Clustering Based on I-k-Means and Multi-Resolution PLA Transform.
Proceedings of the 2012 IEEE RIVF International Conference on Computing & Communication Technologies, Research, Innovation, and Vision for the Future (RIVF), Ho Chi Minh City, Vietnam, February 27, 2012

Time Series Prediction Using Motif Information.
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2012

Efficient Handling of 2D Image Queries Using VPC<sup> + </sup>-tree.
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2012

2011
Three improved variants of simulated annealing for optimising dorm room assignments.
Int. J. Intell. Inf. Database Syst., 2011

A BIRCH-Based Clustering Method for Large Time Series Databases.
Proceedings of the New Frontiers in Applied Data Mining, 2011

Time Series Discord Discovery Based on iSAX Symbolic Representation.
Proceedings of the Third International Conference on Knowledge and Systems Engineering, 2011

Motif-Based Method for Initialization the K-Means Clustering for Time Series Data.
Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011

2010
Some Novel Heuristics for Finding the Most Unusual Time Series Subsequences.
Proceedings of the Advances in Intelligent Information and Database Systems, 2010

EWAT+: Finding Time Series Discords Based on New Discord Measure Functions.
Proceedings of the 2010 IEEE RIVF International Conference on Computing & Communication Technologies, 2010

Combining Constraint Programming and Tabu Search to Solve Vehicle Routing Problem with Time Windows.
Proceedings of the 2010 IEEE RIVF International Conference on Computing & Communication Technologies, 2010

2009
Comparing Three Improved Variants of Simulated Annealing for Optimizing Dorm Room Assignments.
Proceedings of the 2009 IEEE International Conference on Computing and Communication Technologies, 2009

Informed Simulated Annealing for Optimizing Dorm Room Assignments.
Proceedings of the First Asian Conference on Intelligent Information and Database Systems, 2009

From Checking Integrity Constraints to Temporal Abstraction for Clinical Databases.
Proceedings of the First Asian Conference on Intelligent Information and Database Systems, 2009

2008
An Improvement of PAA for Dimensionality Reduction in Large Time Series Databases.
Proceedings of the PRICAI 2008: Trends in Artificial Intelligence, 2008

2007
Applying Temporal Abstraction in Clinical Databases.
Proceedings of the 2007 IEEE International Conference on Research, 2007

2006
Generating complete university course timetables by using local search methods.
Proceedings of the 4th International Confernce on Computer Sciences: Research, 2006

2003
Constraint Retraction for Dynamic Constraint Satisfaction Problems over Disjoint Real Intervals.
Proceedings of the Modeling, 2003

1996
An Incremental Solver for Constraint Hierarchies over Real Intervals.
Proceedings of the Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, 1996

1995
Arc-Consistency for Dynamic Constraint Satisfaction Problems over Real Intervals.
Proceedings of the Eighth International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, 1995


  Loading...