R. Uday Kiran
Orcid: 0000-0002-5417-0289
According to our database1,
R. Uday Kiran
authored at least 120 papers
between 2007 and 2024.
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Bibliography
2024
Appl. Intell., January, 2024
2023
A fundamental approach to discover closed periodic-frequent patterns in very large temporal databases.
Appl. Intell., November, 2023
Inf. Sci., May, 2023
HDSHUI-miner: a novel algorithm for discovering spatial high-utility itemsets in high-dimensional spatiotemporal databases.
Appl. Intell., April, 2023
Training Performance Indications for Amateur Athletes Based on Nutrition and Activity Lifelogs.
Algorithms, January, 2023
Deep Learning-Based Spatiotemporal Fusion of Unmanned Aerial Vehicle and Satellite Reflectance Images for Crop Monitoring.
IEEE Access, 2023
Mining Periodic-Frequent Patterns in Irregular Dense Temporal Databases Using Set Complements.
IEEE Access, 2023
IEEE Access, 2023
IEEE Access, 2023
Towards Efficient Discovery of Spatially Interesting Patterns in Geo-referenced Sequential Databases.
Proceedings of the 35th International Conference on Scientific and Statistical Database Management, 2023
Discovering Geo-referenced Frequent Patterns in Uncertain Geo-referenced Transactional Databases.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023
A Novel Explainable Link Forecasting Framework for Temporal Knowledge Graphs Using Time-Relaxed Cyclic and Acyclic Rules.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023
A Novel Parallel Spatiotemporal Image Fusion Method for Predicting High-Resolution Satellite Images.
Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Applications, 2023
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Discovering Fuzzy Partial Periodic Patterns in Quantitative Irregular Multiple Time Series.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2023
Proceedings of the Database and Expert Systems Applications, 2023
2022
Int. J. Softw. Eng. Knowl. Eng., 2022
IEEE Access, 2022
Proceedings of the 14th International Conference on Knowledge and Systems Engineering, 2022
Towards Efficient Discovery of Stable Periodic Patterns in Big Columnar Temporal Databases.
Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence, 2022
A Spatiotemporal Image Fusion Method for Predicting High-Resolution Satellite Images.
Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence, 2022
UPFP-growth++: An Efficient Algorithm to Find Periodic-Frequent Patterns in Uncertain Temporal Databases.
Proceedings of the Neural Information Processing - 29th International Conference, 2022
Towards developing energy efficient algorithms to discover partial periodic patterns in big temporal databases.
Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022
Discovering Fuzzy Geo-referenced Periodic-Frequent Patterns in Geo-referenced Time Series Databases.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2022
Discovering Geo-referenced Periodic-Frequent Patterns in Geo-referenced Time Series Databases.
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022
Towards Efficient Discovery of Periodic-Frequent Patterns in Dense Temporal Databases Using Complements.
Proceedings of the Database and Expert Systems Applications, 2022
Effective and Robust Boundary-Based Outlier Detection Using Generative Adversarial Networks.
Proceedings of the Database and Expert Systems Applications, 2022
A Novel Null-Invariant Temporal Measure to Discover Partial Periodic Patterns in Non-uniform Temporal Databases.
Proceedings of the Database Systems for Advanced Applications, 2022
A Novel GPU-Accelerated Algorithm to Discover Periodic-Frequent Patterns in Temporal Databases.
Proceedings of the IEEE International Conference on Big Data, 2022
Proceedings of the Big Data Analytics - 10th International Conference, 2022
Towards Efficient Discovery of Partial Periodic Patterns in Columnar Temporal Databases.
Proceedings of the Intelligent Information and Database Systems - 14th Asian Conference, 2022
2021
IEEE Access, 2021
Challenges and Exit Strategies for Adapting Interactive Online Education Amid the Pandemic and its Aftermath.
Proceedings of the 2021 IEEE International Conference on Engineering, 2021
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021
Proceedings of the ICDAR@ICMR 2021: Proceedings of the 2021 Workshop on Intelligent Cross-Data Analysis and Retrieval, 2021
A Unified Framework to Discover Partial Periodic-Frequent Patterns in Row and Columnar Temporal Databases.
Proceedings of the 2021 International Conference on Data Mining, 2021
Fruit classification using deep feature maps in the presence of deceptive similar classes.
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2021
Towards Efficient Discovery of Periodic-Frequent Patterns in Columnar Temporal Databases.
Proceedings of the Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices, 2021
A Novel Rule-Based Online Judge Recommender System to Promote Computer Programming Education.
Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2021
Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2021
Discovering Spatial High Utility Itemsets in High-Dimensional Spatiotemporal Databases.
Proceedings of the Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices, 2021
Proceedings of the Neural Information Processing - 28th International Conference, 2021
Discovering Fuzzy Frequent Spatial Patterns in Large Quantitative Spatiotemporal databases.
Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021
A Novel Parameter-Free Energy Efficient Fuzzy Nearest Neighbor Classifier for Time Series Data.
Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021
Proceedings of the Database and Expert Systems Applications, 2021
Discovering Top-k Spatial High Utility Itemsets in Very Large Quantitative Spatiotemporal databases.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
Improving the Awareness of Sustainable Smart Cities by Analyzing Lifelog Images and IoT Air Pollution Data.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
Discovering Relative High Utility Itemsets in Very Large Transactional Databases Using Null-Invariant Measure.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
2020
Data Knowl. Eng., 2020
Efficient Discovery of Weighted Frequent Neighborhood Itemsets in Very Large Spatiotemporal Databases.
IEEE Access, 2020
Proceedings of the Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices, 2020
Proceedings of the 20th International Conference on Data Mining Workshops, 2020
Proceedings of the SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, 2020
Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020
Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
Distributed Mining of Spatial High Utility Itemsets in Very Large Spatiotemporal Databases using Spark In-Memory Computing Architecture.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
Fusion-3DCNN-max3P: A dynamic system for discovering patterns of predicted congestion.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
2019
Inf. Sci., 2019
Proceedings of the 31st International Conference on Scientific and Statistical Database Management, 2019
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019
Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2019
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019
Proceedings of the Database and Expert Systems Applications, 2019
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
Proceedings of the Big Data Analytics - 7th International Conference, 2019
Proceedings of the Big Data Analytics - 7th International Conference, 2019
2018
Trans. Large Scale Data Knowl. Centered Syst., 2018
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018
Novel Data Segmentation Techniques for Efficient Discovery of Correlated Patterns Using Parallel Algorithms.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2018
Proceedings of the Big Data Analytics and Knowledge Discovery, 2018
Efficient Discovery of Weighted Frequent Itemsets in Very Large Transactional Databases: A Re-visit.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
2017
J. Syst. Softw., 2017
Proceedings of the 29th International Conference on Scientific and Statistical Database Management, 2017
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017
Proceedings of the Big Data Analytics and Knowledge Discovery, 2017
2016
J. Syst. Softw., 2016
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Discovering Periodic-Frequent Patterns in Transactional Databases Using All-Confidence and Periodic-All-Confidence.
Proceedings of the Database and Expert Systems Applications, 2016
2015
Efficient discovery of correlated patterns using multiple minimum all-confidence thresholds.
J. Intell. Inf. Syst., 2015
Proceedings of the 18th International Conference on Extending Database Technology, 2015
Proceedings of the Databases in Networked Information Systems, 2015
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015
Proceedings of the Big Data Analytics - 4th International Conference, 2015
2014
Proceedings of the Database Systems for Advanced Applications, 2014
2013
Proceedings of the Conference on Scientific and Statistical Database Management, 2013
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2013
Towards Addressing the Coverage Problem in Association Rule-Based Recommender Systems.
Proceedings of the Database and Expert Systems Applications, 2013
Proceedings of the Big Data Analytics - Second International Conference, 2013
Proceedings of the Twenty-Fourth Australasian Database Conference, 2013
2012
Temporality-based user interface design approaches for desktop and small screen environment.
Int. J. Comput. Sci. Eng., 2012
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012
Efficient Discovery of Correlated Patterns in Transactional Databases Using Items' Support Intervals.
Proceedings of the Database and Expert Systems Applications, 2012
A robust neural network classifier to model the compressive strength of high performance concrete using feature subset selection.
Proceedings of the 5th ACM COMPUTE Conference: Intelligent & scalable system technologies, 2012
Proceedings of the 18th International Conference on Management of Data, 2012
2011
Proceedings of the 20th International Conference on World Wide Web, 2011
Proceedings of the New Frontiers in Applied Data Mining, 2011
Novel techniques to reduce search space in multiple minimum supports-based frequent pattern mining algorithms.
Proceedings of the EDBT 2011, 2011
Improving the Performance of Recommender System by Exploiting the Categories of Products.
Proceedings of the Databases in Networked Information Systems - 7th International Workshop, 2011
Proceedings of the Database Systems for Advanced Applications, 2011
Proceedings of the 17th International Conference on Management of Data, 2011
2010
Analysing dynamics of crop problems by applying text analysis methods on farm advisory data of eSagu<sup>TM</sup>.
Int. J. Comput. Sci. Eng., 2010
Proceedings of the Databases in Networked Information Systems, 6th International Workshop, 2010
Proceedings of the Database and Expert Systems Applications, 21th International Conference, 2010
Mining Rare Association Rules in the Datasets with Widely Varying Items' Frequencies.
Proceedings of the Database Systems for Advanced Applications, 2010
Proceedings of the 3rd Bangalore Annual Compute Conference, Compute 2010, 2010
Proceedings of the 16th International Conference on Management of Data, 2010
An Efficient Approach to Mine Rare Association Rules Using Maximum Items' Support Constraints.
Proceedings of the Data Security and Security Data, 2010
2009
An Improved Frequent Pattern-growth Approach to Discover Rare Association Rules.
Proceedings of the KDIR 2009 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Funchal, 2009
Mining Rare Periodic-Frequent Patterns Using Multiple Minimum Supports.
Proceedings of the 15th International Conference on Management of Data, 2009
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2009
2007
Understanding the Dynamics of Crop Problems by Analyzing Farm Advisory Data in eSagu<sup> <i>TM</i> </sup>.
Proceedings of the Databases in Networked Information Systems, 5th International Workshop, 2007