Kostas Zoumpatianos

Orcid: 0000-0002-6221-8254

Affiliations:
  • Harvard University, Cambridge, MA, USA


According to our database1, Kostas Zoumpatianos authored at least 29 papers between 2011 and 2022.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2022
Hercules Against Data Series Similarity Search.
Proc. VLDB Endow., 2022

2021
New Trends in High-D Vector Similarity Search: AI-driven, Progressive, and Distributed.
Proc. VLDB Endow., 2021

High-Dimensional Similarity Search for Scalable Data Science.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Big Sequence Management: Scaling up and Out.
Proceedings of the 24th International Conference on Extending Database Technology, 2021

2020
Scalable Machine Learning on High-Dimensional Vectors: From Data Series to Deep Network Embeddings.
Proceedings of the WIMS 2020: The 10th International Conference on Web Intelligence, Mining and Semantics, Biarritz, France, June 30, 2020

2019
Coconut: sortable summarizations for scalable indexes over static and streaming data series.
VLDB J., 2019

Return of the Lernaean Hydra: Experimental Evaluation of Data Series Approximate Similarity Search.
Proc. VLDB Endow., 2019

Learning Data Structure Alchemy.
IEEE Data Eng. Bull., 2019

Data Series Management (Dagstuhl Seminar 19282).
Dagstuhl Reports, 2019

Coconut Palm: Static and Streaming Data Series Exploration Now in your Palm.
Proceedings of the 2019 International Conference on Management of Data, 2019

2018
Generating data series query workloads.
VLDB J., 2018

Coconut: A Scalable Bottom-Up Approach for Building Data Series Indexes.
Proc. VLDB Endow., 2018

The Lernaean Hydra of Data Series Similarity Search: An Experimental Evaluation of the State of the Art.
Proc. VLDB Endow., 2018

The Periodic Table of Data Structures.
IEEE Data Eng. Bull., 2018

The Internals of the Data Calculator.
CoRR, 2018

The Data Calculator: Data Structure Design and Cost Synthesis from First Principles and Learned Cost Models.
Proceedings of the 2018 International Conference on Management of Data, 2018

Data Series Management: Fulfilling the Need for Big Sequence Analytics.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2016
Indexing for Very Large Data Series Collections.
PhD thesis, 2016

ADS: the adaptive data series index.
VLDB J., 2016

Past and Future Steps for Adaptive Storage Data Systems: From Shallow to Deep Adaptivity.
Proceedings of the Real-Time Business Intelligence and Analytics, 2016

2015
RINSE: Interactive Data Series Exploration with ADS+.
Proc. VLDB Endow., 2015

Query Workloads for Data Series Indexes.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Monitoring Strategic Business Goals with Argus.
Proceedings of the 19th IEEE International Enterprise Distributed Object Computing Conference, 2015

2014
Indexing for interactive exploration of big data series.
Proceedings of the International Conference on Management of Data, 2014

A systematic approach for dynamic targeted monitoring of KPIs.
Proceedings of 24th Annual International Conference on Computer Science and Software Engineering, 2014

2013
Monitoring and diagnosing indicators for business analytics.
Proceedings of the Center for Advanced Studies on Collaborative Research, 2013

2012
Strategic Management for Real-Time Business Intelligence.
Proceedings of the Enabling Real-Time Business Intelligence - 6th International Workshop, 2012

2011
Enhancing the Collective Knowledge for the Engineering of Ontologies in Open and Socially Constructed Learning Spaces.
J. Univers. Comput. Sci., 2011

Automated Transformation of SWRL Rules into Multiple-Choice Questions.
Proceedings of the Twenty-Fourth International Florida Artificial Intelligence Research Society Conference, 2011


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