Bijay Prasad Jaysawal

Orcid: 0000-0001-6958-0347

According to our database1, Bijay Prasad Jaysawal authored at least 13 papers between 2014 and 2022.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2022
Multiscale Control Chart Pattern Recognition Using Histogram-Based Representation of Value and Zero-Crossing Rate.
IEEE Trans. Ind. Electron., 2022

Unsupervised Concept Drift Detection Using Dynamic Crucial Feature Distribution Test in Data Streams.
Proceedings of the International Conference on Technologies and Applications of Artificial Intelligence, 2022

2021
Finding Possible Promoter Binding Sites in DNA Sequences by Sequential Patterns Mining With Specific Numbers of Gaps.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Mining full, inner and tail periodic patterns with perfect, imperfect and asynchronous periodicity simultaneously.
Data Min. Knowl. Discov., 2021

2020
TADILOF: Time Aware Density-Based Incremental Local Outlier Detection in Data Streams.
Sensors, 2020

On Mining Progressive Positive and Negative Sequential Patterns Simultaneously.
J. Inf. Sci. Eng., 2020

SOHUPDS: a single-pass one-phase algorithm for mining high utility patterns over a data stream.
Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020

2019
PSP-AMS: Progressive Mining of Sequential Patterns Across Multiple Streams.
ACM Trans. Knowl. Discov. Data, 2019

DMHUPS: Discovering Multiple High Utility Patterns Simultaneously.
Knowl. Inf. Syst., 2019

Mining frequent and top-K High Utility Time Interval-based Events with Duration patterns.
Knowl. Inf. Syst., 2019

2017
Subsequence Search Considering Duration and Relations of Events in Time Interval-Based Events Sequences.
Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

2014
Mining Frequent Progressive Usage Patterns Across Multiple Mobile Broadcasting Channels.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2014

Mining frequent Time Interval-based Event with duration patterns from temporal database.
Proceedings of the International Conference on Data Science and Advanced Analytics, 2014


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