Boyan Kolev

ORCID: 0000-0003-4871-0434
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About
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Research Areas
  • Data Management and Algorithms
  • Advanced Database Systems and Queries
  • Intuitionistic Fuzzy Systems Applications
  • Time Series Analysis and Forecasting
  • Data Quality and Management
  • Data Mining Algorithms and Applications
  • Graph Theory and Algorithms
  • Semantic Web and Ontologies
  • Multi-Criteria Decision Making
  • Constraint Satisfaction and Optimization
  • Cloud Computing and Resource Management
  • Anomaly Detection Techniques and Applications
  • Complex Systems and Time Series Analysis
  • Photodynamic Therapy Research Studies
  • Petri Nets in System Modeling
  • Music and Audio Processing
  • Advanced Data Processing Techniques
  • Thermal and Kinetic Analysis
  • Spectroscopy Techniques in Biomedical and Chemical Research
  • Peer-to-Peer Network Technologies
  • Nanoplatforms for cancer theranostics
  • Blind Source Separation Techniques
  • Metal Alloys Wear and Properties
  • Logic, Reasoning, and Knowledge
  • Psychosomatic Disorders and Their Treatments

Bulgarian Academy of Sciences
2001-2021

Institute of Electronics
2021

Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier
2015-2020

Université de Montpellier
2015-2020

Centre National de la Recherche Scientifique
2020

Institut national de recherche en informatique et en automatique
2015-2019

Institute of Metal Science, Equipment and Technologies
2003

Institute of General and Inorganic Chemistry
2001

The blooming of different cloud data management infrastructures has turned multistore systems to a major topic in the nowadays landscape. In this demonstration, we present Cloud Multidatastore Query Language (CloudMdsQL), and its query engine. CloudMdsQL is functional SQL-like language, capable querying multiple heterogeneous stores (relational NoSQL) within single that may contain embedded invocations each store's native interface. innovation can exploit full power local stores, by simply...

10.1145/2882903.2899400 article EN Proceedings of the 2022 International Conference on Management of Data 2016-06-16

The CloudMdsQL polystore provides integrated access to multiple heterogeneous data stores, such as RDBMS, NoSQL or even HDFS through a big analytics framework MapReduce Spark. language is functional SQL-like query with flexible nested model. A major capability exploit the full power of each underlying stores by allowing native queries be expressed functions and involved in SQL statements. has been validated good number different stores: HDFS, key-value, document, graph, RDBMS OLAP engine. In...

10.1109/bigdata.2016.7840899 article EN 2021 IEEE International Conference on Big Data (Big Data) 2016-12-01

The blooming of different cloud data management infrastructures has turned multistore systems to a major topic in the nowadays landscape.In this paper, we give an overview design Cloud Multidatastore Query Language (CloudMdsQL), and implementation its query engine.CloudMdsQL is functional SQL-like language, capable querying multiple heterogeneous stores (relational, NoSQL, HDFS) within single that can contain embedded invocations each store's native interface.The innovation CloudMdsQL...

10.5220/0005923803520359 article EN cc-by-nc-nd 2016-01-01

The blooming of different cloud data stores has turned polystore systems to a major topic in the nowadays landscape. Especially, as amount processed grows rapidly each year, much attention is being paid on taking advantage parallel processing capabilities underlying stores. To provide federation, typical solution defines common model and query language with translations API calls or queries store. However, this may lead losing important querying capabilities. polyglot approach CloudMdsQL...

10.1109/bigdata.2018.8622187 article EN 2021 IEEE International Conference on Big Data (Big Data) 2018-12-01

A growing number of domains (finance, seismology, internet-of-things, etc.) collect massive time series. When the series grow to hundreds millions or even billions, similarity queries become intractable on a single machine. Further, naive (quadratic) parallelization won't work well. So, we need both efficient indexing and parallelization. We propose demonstration Spark-parSketch, complete solution based sketches / random projections efficiently perform parallel large sets search them....

10.1145/3269206.3269226 article EN 2018-10-17

10.1023/a:1017903424237 article EN Journal of Materials Science 2001-01-01

This paper presents a data warehouse implemented on the basis of database management system that supports operations over intuitionistic fuzzy data. The source for Intuitionistic Fuzzy Data Warehouse (IFDW) is learning provides university courses and used blended learning. To analyze (IF) concepts we apply new method comparison IF implement operators in relational model. Sample application provided through some queries towards star schema IFDW. It stores from student's performance quiz...

10.1109/is.2010.5548391 article EN 2010-07-01

Abstract Porphyrins used as photosensitizers are accumulated selectively in glioblastoma cells due to the latter heme metabolism disorders and could be effectively for intraoperative fluorescence staining of tumor formation differentiation from normal brain parenchyma. The aim this work was investigate photodynamic properties 5-ALA/PpIX on stem cell cultures isolated glioblastoma. Supernatant samples photosensitizer-treated lines were evaluation photosensitizers’ accumulation investigated...

10.1088/1742-6596/1859/1/012047 article EN Journal of Physics Conference Series 2021-03-01

The model we suggest makes the data quality an intrinsic feature of intuitionistic fuzzy relational database. is no more determined by level user complaints or ad hoc sql queries prior to load but it stored explicitly in tables and could be monitored measured regularly. on attribute basis supplementary base ones. along preferred dimensions represented degrees. To consider preferences with respect different table attributes create additional that contain weight values. are not have use RDBMS...

10.1109/is.2008.4670520 article EN 2008-09-01

Abstract The use of polarized light for biomedical diagnostics skin and mucosa has already a long history. Prior studies have shown contrast enhancement the polarimetric values in images cancerous healthy zones tissues. In present study, reflectance-geometry polarization measurements were made with gastrointestinal tissue (GIT) samples containing normal neoplastic mucosa. We investigated ex vivo characteristic differences parameters, including Stokes vector elements, degree polarization,...

10.1088/1742-6596/1859/1/012041 article EN Journal of Physics Conference Series 2021-03-01
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