- Comparing MapReduce-Based k-NN Similarity Joins On Hadoop For High-dimensional Data2017 | Faculty of Mathematics and Physics
- Learning communication patterns for malware discovery in HTTPs data2018 | Faculty of Mathematics and Physics
- How to Store and Process Big Data: Are Today's Databases Sufficient?2014 | Faculty of Mathematics and Physics
- Big Data Storage and Management: Challenges and Opportunities2017 | Faculty of Mathematics and Physics
- Pivot-based approximate k-NN similarity joins for big high-dimensional data2020 | Faculty of Mathematics and Physics
- Feature Extraction and Malware Detection on Large HTTPS Data Using MapReduce2016 | Faculty of Mathematics and Physics
- Big Data Processing and Big Analytics2019 | Faculty of Mathematics and Physics
- Database Architectures: Current State and Development2015 | Faculty of Mathematics and Physics
- Scalable Framework for Semantic Web Crawling2012 | Faculty of Mathematics and Physics
- The Analysis of Technology Development Trends Based on the Network Semantic Structure “Subject-Action-Object”Publication without faculty affiliation