Research Output per year
Personal profile
Research interests
My primary area of research is data management systems. The focus of my research is two-fold: advancing database systems to respond to requirements of multiple emerging applications, and extending fundamental concepts of database systems to new data management platforms. My specific areas of interest include, but are not limited to: social data analysis, cyberbullying identification, similarity-aware data analysis, query processing and optimization, big data analytics, privacy assurance in databases, and scientific database systems.
Education/Academic qualification
PHD, Purdue University
… → 2010
MS, Purdue University
… → 2006
BS, Pontific Catholic University
… → 2001
Keywords
- Compuer Science Education
- Query Processing and Optimization
- Database Systems
- Social Networks
- SImCloud
- Similarity-aware Operators
- SimDB
- Big Data
- BullyBlocker
Fingerprint Fingerprint is based on mining the text of the experts' scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.
- 6 Similar Profiles
Join
Mathematics
MapReduce
Mathematics
Semantics
Engineering & Materials Science
Processing
Engineering & Materials Science
networking
Social Sciences
Scalability
Engineering & Materials Science
Application programs
Engineering & Materials Science
Costs
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output 2007 2019
XBully: Cyberbullying detection within a multi-modal context
Cheng, L., Li, J., Silva, Y., Hall, D. & Liu, H., Jan 30 2019, WSDM 2019 - Proceedings of the 12th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc, p. 339-347 9 p. (WSDM 2019 - Proceedings of the 12th ACM International Conference on Web Search and Data Mining).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Heterogeneous networks
Identification (control systems)
2
Citations
(Scopus)
BullyBlocker: toward an interdisciplinary approach to identify cyberbullying
Silva, Y., Hall, D. & Rich, C., Dec 1 2018, In : Social Network Analysis and Mining. 8, 1, 18.Research output: Contribution to journal › Article
Identification (control systems)
psychology
Application programs
computer science
Computer science
DBSnap++: Creating data-driven programs by snapping blocks
Silva, Y., Schenk, T. G., Nieuwenhuyse, A. & Symons, A., Jul 2 2018, ITiCSE 2018 - Proceedings of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education. Andreou, P., Armoni, M., Read, J. C. & Polycarpou, I. (eds.). Association for Computing Machinery, p. 170-175 6 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Specifications
Computer science
programming
Education
instruction
Preface
Marchand-Maillet, S., Silva, Y. & Chávez, E., Jan 1 2018, In : Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 11223 LNCS, p. V-VIResearch output: Contribution to journal › Editorial
2
Citations
(Scopus)
Comparing mapreduce-based k-NN similarity joins on hadoop for high-dimensional data
Čech, P., Maroušek, J., Lokoč, J., Silva, Y. & Starks, J., 2017, Advanced Data Mining and Applications - 13th International Conference, ADMA 2017, Proceedings. Springer Verlag, Vol. 10604 LNAI. p. 63-75 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10604 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
MapReduce
High-dimensional Data
Join
Data mining
Exponential Growth