Mikhail L. Zymbler

According to our database, Mikhail L. Zymbler authored at least 23 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

High-performance Time Series Anomaly Discovery on Graphics Processors.

Mikhail L. Zymbler, Yana Kraeva

CoRR, 2023

2022

Botanical Leaf Disease Detection and Classification Using Convolutional Neural Network: A Hybrid Metaheuristic Enabled Approach.

Madhumini Mohapatra, Ami Kumar Parida, Pradeep Kumar Mallick, Mikhail L. Zymbler, Sachin Kumar

Comput., 2022

Brain Tumor Classification Using Dense Efficient-Net.

Dillip Ranjan Nayak, Neelamadhab Padhy, Pradeep Kumar Mallick, Mikhail L. Zymbler, Sachin Kumar

Axioms, 2022

A Novel Algorithmic Forex Trade and Trend Analysis Framework Based on Deep Predictive Coding Network Optimized with Reptile Search Algorithm.

Swaty Dash, Pradip Kumar Sahu, Debahuti Mishra, Pradeep Kumar Mallick, Bharti Sharma, Mikhail L. Zymbler, Sachin Kumar

Axioms, 2022

2020

Analyzing MRI scans to detect glioblastoma tumor using hybrid deep belief networks.

Annapareddy V. N. Reddy, Ch. Phani Krishna, Pradeep Kumar Mallick, Sandeep Kumar Satapathy, Prayag Tiwari, Mikhail L. Zymbler, Sachin Kumar

J. Big Data, 2020

2019

A machine learning approach to analyze customer satisfaction from airline tweets.

Sachin Kumar, Mikhail L. Zymbler

J. Big Data, 2019

Internet of Things is a revolutionary approach for future technology enhancement: a review.

Sachin Kumar, Prayag Tiwari, Mikhail L. Zymbler

J. Big Data, 2019

Parallel Algorithm for Time Series Discords Discovery on the Intel Xeon Phi Knights Landing Many-core Processor.

Andrey Polyakov, Mikhail L. Zymbler

CoRR, 2019

Big Data Processing and Analytics Inside DBMS.

Mikhail L. Zymbler, Sachin Kumar, Yana Kraeva, Alexander Grents, Anastasiya Perkova

Proceedings of the Selected Papers of the XXI International Conference on Data Analytics and Management in Data Intensive Domains (DAMDID/RCDL 2019), 2019

An Approach to Fuzzy Clustering of Big Data Inside a Parallel Relational DBMS.

Mikhail L. Zymbler, Yana Kraeva, Alexander Grents, Anastasiya Perkova, Sachin Kumar

Proceedings of the Data Analytics and Management in Data Intensive Domains, 2019

2018

The Use of MPI and OpenMP Technologies for Subsequence Similarity Search in Very Large Time Series on Computer Cluster System with Nodes Based on the Intel Xeon Phi Knights Landing Many-core Processor.

Yana Kraeva, Mikhail L. Zymbler

CoRR, 2018

Parallel Algorithm for Frequent Itemset Mining on Intel Many-core Systems.

Mikhail L. Zymbler

J. Comput. Inf. Technol., 2018

Scalable Algorithm for Subsequence Similarity Search in Very Large Time Series Data on Cluster of Phi KNL.

Yana Kraeva, Mikhail L. Zymbler

Proceedings of the Data Analytics and Management in Data Intensive Domains, 2018

An Efficient Subsequence Similarity Search on Modern Intel Many-core Processors for Data Intensive Applications.

Yana Kraeva, Mikhail L. Zymbler

Proceedings of the Selected Papers of the XX International Conference on Data Analytics and Management in Data Intensive Domains (DAMDID/RCDL 2018), 2018

2017

An Approach to Data Mining inside PostgreSQL Based on Parallel Implementation of UDFs.

Timofey Rechkalov, Mikhail L. Zymbler

Proceedings of the Selected Papers of the XIX International Conference on Data Analytics and Management in Data Intensive Domains (DAMDID/RCDL 2017), 2017

Integrating DBMS and Parallel Data Mining Algorithms for Modern Many-Core Processors.

Timofey Rechkalov, Mikhail L. Zymbler

Proceedings of the Data Analytics and Management in Data Intensive Domains, 2017

Accelerating Dynamic Itemset Counting on Intel many-core systems.

Mikhail L. Zymbler

Proceedings of the 40th International Convention on Information and Communication Technology, 2017

2015

Encapsulation of partitioned parallelism into open-source database management systems.

Constantin S. Pan, Mikhail L. Zymbler

Program. Comput. Softw., 2015

Time Series Subsequence Similarity Search Under Dynamic Time Warping Distance on the Intel Many-core Accelerators.

Aleksander Movchan, Mikhail L. Zymbler

Proceedings of the Similarity Search and Applications - 8th International Conference, 2015

Accelerating time series subsequence matching on the Intel Xeon Phi many-core coprocessor.

Ruslan Miniakhmetov, Aleksander Movchan, Mikhail L. Zymbler

Proceedings of the 38th International Convention on Information and Communication Technology, 2015

Best-Match Time Series Subsequence Search on the Intel Many Integrated Core Architecture.

Mikhail L. Zymbler

Proceedings of the Advances in Databases and Information Systems, 2015

2013

Taming Elephants, or How to Embed Parallelism into PostgreSQL.

Constantin S. Pan, Mikhail L. Zymbler

Proceedings of the Database and Expert Systems Applications, 2013

Very Large Graph Partitioning by Means of Parallel DBMS.

Constantin S. Pan, Mikhail L. Zymbler

Proceedings of the Advances in Databases and Information Systems, 2013