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Computer Science

D-Index
58
Citations
10523
World Ranking
3698
National Ranking
67

Research.com Recognitions

  • 2018 - ACM Senior Member

Overview

Themis Palpanas is affiliated with Université Paris Cité in France and has a body of work primarily centered in the field of computer science. Their research spans several subfields including signal processing, artificial intelligence, management science and operations research, computer networks and communications, and computer vision and pattern recognition.

Their contributions involve major topics such as time series analysis and forecasting, data management and algorithms, anomaly detection techniques and applications, data quality and management, music and audio processing, advanced text analysis techniques, and advanced database systems and queries.

Palpanas has published extensively, with significant portions of work appearing in journals and conferences including:

  • arXiv (Cornell University)
  • Proceedings of the VLDB Endowment
  • The VLDB Journal
  • Proceedings of the ACM on Management of Data
  • IEEE Transactions on Knowledge and Data Engineering

Recent papers authored or co-authored by Palpanas include:

  • "An Overview of End-to-End Entity Resolution for Big Data," 2020, ACM Computing Surveys
  • "Blocking and Filtering Techniques for Entity Resolution," 2020, ACM Computing Surveys
  • "SAND," 2021, Proceedings of the VLDB Endowment
  • "TSB-UAD," 2022, Proceedings of the VLDB Endowment
  • "Series2Graph," 2020, Proceedings of the VLDB Endowment

They have also contributed to book publications, notably a work titled The Four Generations of Entity Resolution published in 2021 by Morgan & Claypool Publishers.

Frequent collaborators in their research include George Papadakis, Paul Boniol, Karima Echihabi, Ekaterini Ioannou, and John Paparrizos.

In professional recognition, Themis Palpanas was awarded the title of ACM Senior Member in 2018.

Best Publications

  • Survey on mining subjective data on the web

    Mikalai Tsytsarau;Themis Palpanas

  • Online outlier detection in sensor data using non-parametric models

    S. Subramaniam;T. Palpanas;D. Papadopoulos;V. Kalogeraki

  • Indexing large human-motion databases

    Eamonn Keogh;Themistoklis Palpanas;Victor B. Zordan;Dimitrios Gunopulos

  • Distributed deviation detection in sensor networks

    Themistoklis Palpanas;Dimitris Papadopoulos;Vana Kalogeraki;Dimitrios Gunopulos

  • iSAX 2.0: Indexing and Mining One Billion Time Series

    Alessandro Camerra;Themis Palpanas;Jin Shieh;Eamonn Keogh

  • Online amnesic approximation of streaming time series

    T. Palpanas;M. Vlachos;E. Keogh;D. Gunopulos

  • Comparative analysis of approximate blocking techniques for entity resolution

    George Papadakis;Jonathan Svirsky;Avigdor Gal;Themis Palpanas

  • An Overview of End-to-End Entity Resolution for Big Data

    Vassilis Christophides;Vasilis Efthymiou;Themis Palpanas;George Papadakis

  • Practical Data Prediction for Real-World Wireless Sensor Networks

    Usman Raza;Alessandro Camerra;Amy L. Murphy;Themis Palpanas

  • A Blocking Framework for Entity Resolution in Highly Heterogeneous Information Spaces

    George Papadakis;Ekaterini Ioannou;Themis Palpanas;Claudia Niederee

  • Incremental maintenance for non-distributive aggregate functions

    Themistoklis Palpanas;Richard Sidle;Roberta Cochrane;Hamid Pirahesh

  • Meta-Blocking: Taking Entity Resolutionto the Next Level

    George Papadakis;Georgia Koutrika;Themis Palpanas;Wolfgang Nejdl

  • Blocking and Filtering Techniques for Entity Resolution: A Survey

    George Papadakis;Dimitrios Skoutas;Emmanouil Thanos;Themis Palpanas

  • Beyond one billion time series: indexing and mining very large time series collections with $$i$$ SAX2+

    Alessandro Camerra;Jin Shieh;Themis Palpanas;Thanawin Rakthanmanon

  • Data Series Management: The Road to Big Sequence Analytics

    Themis Palpanas

  • Density-based Projected Clustering over High Dimensional Data Streams.

    Irene Ntoutsi;Arthur Zimek;Themis Palpanas;Peer Kröger

  • Ranked join indices

    P. Tsaparas;T. Palpanas;Y. Kotidis;N. Koudas

  • Maximizing the sustained throughput of distributed continuous queries

    Ioana Stanoi;George Mihaila;Themis Palpanas;Christian Lang

  • Indexing for interactive exploration of big data series

    Kostas Zoumpatianos;Stratos Idreos;Themis Palpanas

  • Frequent items in streaming data: An experimental evaluation of the state-of-the-art

    Nishad Manerikar;Themis Palpanas

  • Social Listening of City Scale Events Using the Streaming Linked Data Framework

    Marco Balduini;Emanuele Della Valle;Daniele Dell'Aglio;Mikalai Tsytsarau

Frequent Co-Authors

Eamonn Keogh
Eamonn Keogh University of California, Riverside
Manolis Koubarakis
Manolis Koubarakis National and Kapodistrian University of Athens
Wolfgang Nejdl
Wolfgang Nejdl University of Hannover
Athena Vakali
Athena Vakali Aristotle University of Thessaloniki
Vassilis Christophides
Vassilis Christophides École Nationale Supérieure de l'Électronique et de ses Applications
Gautam Das
Gautam Das The University of Texas at Arlington
Dimitrios Gunopulos
Dimitrios Gunopulos National and Kapodistrian University of Athens
John Mylopoulos
John Mylopoulos University of Ottawa
Nick Koudas
Nick Koudas University of Toronto
Charu C. Aggarwal
Charu C. Aggarwal IBM (United States)

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