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Sebastian Michel 0001
Person information

- affiliation: University of Kaiserslautern, Germany
Other persons with the same name
- Sebastian Michel 0002 — TU Dortmund, Germany
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2020 – today
- 2024
- [c96]Angjela Davitkova, Damjan Gjurovski, Sebastian Michel:
Learning over Sets for Databases. EDBT 2024: 68-80 - 2023
- [j16]Nico Schäfer, Damjan Gjurovski, Angjela Davitkova, Sebastian Michel:
To UDFs and Beyond: Demonstration of a Fully Decomposed Data Processor for General Data Wrangling Tasks. Proc. VLDB Endow. 16(12): 4018-4021 (2023) - [c95]Damjan Gjurovski
, Sebastian Michel
:
Tuple Bubbles: Learned Tuple Representations for Tunable Approximate Query Processing. aiDM@SIGMOD 2023: 2:1-2:9 - [c94]Patrick Hansert
, Sebastian Michel
:
Schema-based Column Reordering for Dremel-encoded Data. BiDEDE@SIGMOD 2023: 2:1-2:7 - 2022
- [c93]Damjan Gjurovski
, Jan Heidemann, Sebastian Michel
:
Summarizing Edge-Device Data via Core Items. ADBIS 2022: 133-147 - [c92]Patrick Hansert
, Sebastian Michel:
Ameliorating data compression and query performance through cracked Parquet. BiDEDE@SIGMOD 2022: 6:1-6:7 - [c91]Angjela Davitkova, Damjan Gjurovski, Sebastian Michel:
LMKG: Learned Models for Cardinality Estimation in Knowledge Graphs. EDBT 2022: 2:169-2:182 - [c90]Nico Schäfer, Sebastian Michel:
BETZE: Benchmarking Data Exploration Tools with (Almost) Zero Effort. ICDE 2022: 2385-2398 - [i8]Angjela Davitkova, Damjan Gjurovski, Sebastian Michel:
Compressing (Multidimensional) Learned Bloom Filters. CoRR abs/2208.03029 (2022) - [i7]Damjan Gjurovski, Sebastian Michel:
Approximate Query Processing via Tuple Bubbles. CoRR abs/2212.10150 (2022) - 2021
- [c89]Damjan Gjurovski, Sebastian Michel:
Natural Joins for Schema-free Data. IEEE BigData 2021: 2372-2380 - [c88]Nico Schäfer, Sebastian Michel:
Utilizing Delta Trees for Efficient, Iterative Exploration and Transformation of Semi-Structured Contents. ICDE 2021: 1895-1900 - [c87]Manuel Dossinger
, Sebastian Michel:
Optimizing Multiple Multi-Way Stream Joins. ICDE 2021: 1985-1990 - [i6]Angjela Davitkova, Damjan Gjurovski, Sebastian Michel:
LMKG: Learned Models for Cardinality Estimation in Knowledge Graphs. CoRR abs/2102.10588 (2021) - [i5]Manuel Dossinger, Sebastian Michel:
Optimizing Multiple Multi-Way Stream Joins. CoRR abs/2104.07742 (2021) - 2020
- [c86]Evica Milchevski, Sebastian Michel:
Distributed Similarity Joins over Top-K Rankings. EDBT 2020: 205-216 - [c85]Nico Schäfer, Sebastian Michel:
Partially Materializable Delta Trees for Efficient Data Wrangling of Semi-Structured Contents. EDBT 2020: 399-402 - [c84]Angjela Davitkova, Evica Milchevski, Sebastian Michel:
The ML-Index: A Multidimensional, Learned Index for Point, Range, and Nearest-Neighbor Queries. EDBT 2020: 407-410 - [c83]Damjan Gjurovski, Sebastian Michel:
Scaling Out Schema-free Stream Joins. ICDE 2020: 805-816 - [c82]Nico Schäfer, Sebastian Michel:
JODA: A Vertically Scalable, Lightweight JSON Processor for Big Data Transformations. ICDE 2020: 1726-1729
2010 – 2019
- 2019
- [j15]Kiril Panev, Sebastian Michel:
Concept and Computation of Ranking-based Dominance. Inf. Syst. 84: 174-188 (2019) - [c81]Manuel Dossinger
, Sebastian Michel:
Scaling Out Multi-Way Stream Joins using Optimized, Iterative Probing. IEEE BigData 2019: 449-456 - [c80]Sebastian Michel:
Similarity Search and Data Exploration over Entity Rankings (Ähnlichkeitssuche und Datenexploration über Entitäts-Ranglisten). Grundlagen von Datenbanken 2019: 1 - [c79]Manuel Dossinger
, Sebastian Michel, Constantin Roudsarabi:
CLASH: A High-Level Abstraction for Optimized, Multi-Way Stream Joins over Apache Storm. SIGMOD Conference 2019: 1897-1900 - 2018
- [j14]Sebastian Michel, Rainer Gemulla, Ralf Schenkel, Theo Härder:
Editorial. Datenbank-Spektrum 18(2): 75-77 (2018) - [c78]Jéssica Andressa de Souza, Agma J. M. Traina, Sebastian Michel:
Class-constraint similarity queries. SAC 2018: 549-556 - [c77]Kiril Panev, Sebastian Michel:
Exploring Pros and Cons of Ranked Entities with COMPETE. ExploreDB@SIGMOD/PODS 2018: 6:1-6:6 - [c76]Koninika Pal, Sebastian Michel:
Learning interesting attributes for automated data categorization. SSDBM 2018: 9:1-9:12 - [c75]Evica Milchevski, Fabian Neffgen, Sebastian Michel:
Processing Class-Constraint K-NN Queries with MISP. WebDB 2018: 2:1-2:6 - 2017
- [c74]Kiril Panev, Nico Weisenauer, Sebastian Michel:
Reverse Engineering Top-k Join Queries. BTW 2017: 61-80 - [c73]Kiril Panev, Sebastian Michel, Evica Milchevski, Koninika Pal:
Exploring Databases via Reverse Engineering Ranking Queries with PALEO. BTW 2017: 617 - [c72]Sebastian Michel:
Playing Information LEGO at Large Scale. CIDR 2017 - [c71]Manuel Hoffmann
, Sebastian Michel:
Scaling Out Continuous Multi-Way Theta-Joins. BeyondMR@SIGMOD 2017: 8:1-8:4 - [c70]Koninika Pal, Sebastian Michel:
LSH-Based Probabilistic Pruning of Inverted Indices for Sets and Ranked Lists. WebDB 2017: 23-28 - [i4]Koninika Pal, Sebastian Michel:
Learning Interesting Categorical Attributes for Refined Data Exploration. CoRR abs/1711.10933 (2017) - 2016
- [j13]Fabian Reinartz, Koninika Pal, Sebastian Michel:
Mining Entity Rankings. Datenbank-Spektrum 16(1): 27-38 (2016) - [j12]Stefan Deßloch, Theo Härder
, Sebastian Michel:
Die Arbeitsgruppen für Datenbanken und Informationssysteme an der TU Kaiserslautern. Datenbank-Spektrum 16(3): 237-245 (2016) - [j11]Kiril Panev, Sebastian Michel, Evica Milchevski, Koninika Pal:
Exploring Databases via Reverse Engineering Ranking Queries with PALEO. Proc. VLDB Endow. 9(13): 1525-1528 (2016) - [c69]Kiril Panev, Sebastian Michel:
Reverse Engineering Top-k Database Queries with PALEO. EDBT 2016: 113-124 - [c68]Evica Milchevski, Sebastian Michel:
Quantifying Likelihood of Change through Update Propagation across Top-k Rankings. EDBT 2016: 660-661 - [c67]Koninika Pal, Sebastian Michel:
A Data Mining Approach to Choosing Categorical Attributes for Ranked Lists. EDBT 2016: 664-665 - [c66]Manuel Hoffmann
, Evica Milchevski, Sebastian Michel:
Playing LEGO with JSON: Probabilistic joins over attribute-value fragments. ICDE Workshops 2016: 173-180 - [c65]Kiril Panev, Evica Milchevski, Sebastian Michel:
Computing similar entity rankings via reverse engineering of top-k database queries. ICDE Workshops 2016: 181-188 - [c64]Koninika Pal, Sebastian Michel:
Efficient Similarity Search across Top-k Lists under the Kendall's Tau Distance. SSDBM 2016: 6:1-6:12 - 2015
- [c63]Evica Milchevski, Avishek Anand, Sebastian Michel:
The Sweet Spot between Inverted Indices and Metric-Space Indexing for Top-K-List Similarity Search. EDBT 2015: 253-264 - [c62]Evica Milchevski, Sebastian Michel:
ligDB - Online Query Processing Without (almost) any Storage. EDBT 2015: 683-688 - 2014
- [c61]Foteini Alvanaki, Sebastian Michel:
Tracking set correlations at large scale. SIGMOD Conference 2014: 1507-1518 - [i3]Koninika Pal, Sebastian Michel:
An LSH Index for Computing Kendall's Tau over Top-k Lists. CoRR abs/1409.0651 (2014) - 2013
- [c60]Evica Ilieva, Sebastian Michel, Aleksandar Stupar:
The essence of knowledge (bases) through entity rankings. CIKM 2013: 1537-1540 - [c59]Aleksandar Stupar, Sebastian Michel:
SRbench-a benchmark for soundtrack recommendation systems. CIKM 2013: 2285-2290 - [c58]Foteini Alvanaki, Evica Ilieva, Sebastian Michel, Aleksandar Stupar:
Interesting event detection through hall of fame rankings. DBSocial 2013: 7-12 - [c57]Foteini Alvanaki, Sebastian Michel:
Scalable, continuous tracking of tag co-occurrences between short sets using (almost) disjoint tag partitions. DBSocial 2013: 49-54 - [c56]Aleksandar Stupar, Sebastian Michel:
Automated educated guessing. ICDE Workshops 2013: 19-20 - [c55]Foteini Alvanaki, Sebastian Michel:
A thin monitoring layer for top-k aggregation queries over a database. DBRank@VLDB 2013: 3:1-3:6 - [i2]Aleksandar Stupar, Sebastian Michel:
Benchmarking Soundtrack Recommendation Systems with SRBench. CoRR abs/1308.1224 (2013) - 2012
- [j10]Christoph Pinkel, Foteini Alvanaki, Sebastian Michel:
Sequoia - An Approach to Declarative Information Retrieval. Datenbank-Spektrum 12(2): 101-108 (2012) - [j9]Parisa Haghani, Sebastian Michel, Karl Aberer:
Efficient monitoring of personalized hot news over Web 2.0 streams. Comput. Sci. Res. Dev. 27(1): 81-92 (2012) - [c54]Aleksandar Stupar, Sebastian Michel:
Being picky: processing top-k queries with set-defined selections. CIKM 2012: 912-921 - [c53]Chuancong Gao
, Sebastian Michel:
Top-k interesting phrase mining in ad-hoc collections using sequence pattern indexing. EDBT 2012: 264-275 - [c52]Foteini Alvanaki, Sebastian Michel, Krithi Ramamritham, Gerhard Weikum:
See what's enBlogue: real-time emergent topic identification in social media. EDBT 2012: 336-347 - [c51]Aleksandar Stupar, Sebastian Michel:
Enhancing Locality Sensitive Hashing with Peek Probing and Nearest Neighbor Links. WebDB 2012: 37-42 - [i1]Foteini Alvanaki, Sebastian Michel, Aleksandar Stupar:
Building and Maintaining Halls of Fame over a Database. CoRR abs/1208.1231 (2012) - 2011
- [c50]Parisa Haghani, Sebastian Michel, Karl Aberer:
Tracking Hot-k Items over Web 2.0 Streams. BTW 2011: 105-122 - [c49]Adriana Budura, Sebastian Michel, Karl Aberer:
Efficient Interest Group Discovery in Social Networks using an Integrated Structure/Quality Index. BTW 2011: 367-378 - [c48]Aleksandar Stupar, Sebastian Michel:
PICASSO: automated soundtrack suggestion for multi-modal data. CIKM 2011: 2589-2592 - [c47]Aleksandar Stupar, Sebastian Michel:
Picasso - to sing, you must close your eyes and draw. SIGIR 2011: 715-724 - [c46]Foteini Alvanaki, Sebastian Michel, Krithi Ramamritham, Gerhard Weikum:
EnBlogue: emergent topic detection in web 2.0 streams. SIGMOD Conference 2011: 1271-1274 - 2010
- [c45]Parisa Haghani, Sebastian Michel, Karl Aberer:
The gist of everything new: personalized top-k processing over web 2.0 streams. CIKM 2010: 489-498 - [c44]Oana Jurca, Sebastian Michel, Alexandre Herrmann, Karl Aberer:
Continuous query evaluation over distributed sensor networks. ICDE 2010: 912-923 - [c43]Aleksandar Stupar, Sebastian Michel, Ralf Schenkel:
RankReduce - Processing K-Nearest Neighbor Queries on Top of MapReduce. LSDS-IR@SIGIR 2010: 13-18
2000 – 2009
- 2009
- [j8]Thomas Neumann
, Matthias Bender, Sebastian Michel, Ralf Schenkel
, Peter Triantafillou, Gerhard Weikum:
Distributed top-k aggregation queries at large. Distributed Parallel Databases 26(1): 3-27 (2009) - [j7]Sebastian Michel, Gleb Skobeltsyn, Wai Gen Yee:
Workshop on large-scale distributed systems for information retrieval. SIGIR Forum 43(1): 42-48 (2009) - [c42]Sebastian Michel:
Top-k Aggegation Queries in Large-Scale Distributed Systems. BTW 2009: 418-427 - [c41]Parisa Haghani, Sebastian Michel, Karl Aberer:
Evaluating top-k queries over incomplete data streams. CIKM 2009: 877-886 - [c40]Oana Jurca, Sebastian Michel, Alexandre Herrmann, Karl Aberer:
Processing publish/subscribe queries over distributed data streams. DEBS 2009 - [c39]Parisa Haghani, Sebastian Michel, Karl Aberer:
Distributed similarity search in high dimensions using locality sensitive hashing. EDBT 2009: 744-755 - [c38]Adriana Budura, Sebastian Michel, Philippe Cudré-Mauroux
, Karl Aberer:
Neighborhood-Based Tag Prediction. ESWC 2009: 608-622 - [c37]Sebastian Michel, Ali Salehi, Liqian Luo, Nicholas Dawes, Karl Aberer, Guillermo Barrenetxea, Mathias Bavay
, Aman Kansal, K. Ashwin Kumar, Suman Nath
, Marc Parlange
, Stewart Tansley
, Catharine van Ingen, Feng Zhao, Yongluan Zhou
:
Environmental Monitoring 2.0. ICDE 2009: 1507-1510 - [c36]Ali Salehi, Mehdi Riahi, Sebastian Michel, Karl Aberer:
Knowing When to Slide - Efficient Scheduling for Sliding Window Processing. Mobile Data Management 2009: 202-211 - [c35]Sebastian Michel, Ingmar Weber
:
Rethinking email message and people search. WWW 2009: 1107-1108 - 2008
- [j6]Tom Crecelius, Mouna Kacimi, Sebastian Michel, Thomas Neumann, Josiane Xavier Parreira, Ralf Schenkel, Gerhard Weikum:
Making SENSE: socially enhanced search and exploration. Proc. VLDB Endow. 1(2): 1480-1483 (2008) - [j5]Josiane Xavier Parreira, Carlos Castillo
, Debora Donato, Sebastian Michel, Gerhard Weikum:
The Juxtaposed approximate PageRank method for robust PageRank approximation in a peer-to-peer web search network. VLDB J. 17(2): 291-313 (2008) - [c34]Thomas Neumann
, Sebastian Michel:
Smooth Interpolating Histograms with Error Guarantees. BNCOD 2008: 126-138 - [c33]Nicholas Dawes, K. Ashwin Kumar, Sebastian Michel, Karl Aberer, Michael Lehning
:
Sensor Metadata Management and Its Application in Collaborative Environmental Research. eScience 2008: 143-150 - [c32]Matthias Bender, Tom Crecelius, Mouna Kacimi, Sebastian Michel, Thomas Neumann
, Josiane Xavier Parreira, Ralf Schenkel
, Gerhard Weikum:
Exploiting social relations for query expansion and result ranking. ICDE Workshops 2008: 501-506 - [c31]Ralf Schenkel
, Tom Crecelius, Mouna Kacimi, Sebastian Michel, Thomas Neumann
, Josiane Xavier Parreira, Gerhard Weikum:
Efficient top-k querying over social-tagging networks. SIGIR 2008: 523-530 - [c30]Adriana Budura, Sebastian Michel, Philippe Cudré-Mauroux
, Karl Aberer:
To tag or not to tag -: harvesting adjacent metadata in large-scale tagging systems. SIGIR 2008: 733-734 - [c29]Tom Crecelius, Mouna Kacimi, Sebastian Michel, Thomas Neumann
, Josiane Xavier Parreira, Ralf Schenkel
, Gerhard Weikum:
Social recommendations at work. SIGIR 2008: 884 - [c28]Parisa Haghani, Sebastian Michel, Philippe Cudré-Mauroux, Karl Aberer:
LSH At Large - Distributed KNN Search in High Dimensions. WebDB 2008 - [c27]Sheila Kinsella, Adriana Budura, Gleb Skobeltsyn, Sebastian Michel, John G. Breslin, Karl Aberer:
From Web 1.0 to Web 2.0 and back -: how did your grandma use to tag? WIDM 2008: 79-86 - [c26]Josiane Xavier Parreira, Sebastian Michel, Gerhard Weikum:
Efficiently Handling Dynamics in Distributed Link Based Authority Analysis. WISE 2008: 36-49 - [c25]Thomas Neumann
, Matthias Bender, Sebastian Michel, Ralf Schenkel
, Peter Triantafillou, Gerhard Weikum:
Optimizing Distributed Top-k Queries. WISE 2008: 337-349 - [e1]Sebastian Michel, Gleb Skobeltsyn, Wai Gen Yee:
Proceeding of the 2008 ACM Workshop on Large-Scale Distributed Systems for Information Retrieval, LSDS-IR 2008, Napa Valley, California, USA, October 30, 2008. ACM 2008, ISBN 978-1-60558-254-2 [contents] - 2007
- [b1]Sebastian Michel:
Top-k aggregation queries in large-scale distributed systems. Saarland University, 2007 - [j4]Matthias Bender, Tom Crecelius, Mouna Kacimi, Sebastian Michel, Josiane Xavier Parreira, Gerhard Weikum:
Peer-to-Peer Information Search: Semantic, Social, or Spiritual? IEEE Data Eng. Bull. 30(2): 51-60 (2007) - [j3]Thomas Neumann
, Sebastian Michel:
Algebraic query optimization for distributed top-k queries. Inform. Forsch. Entwickl. 21(3-4): 197-211 (2007) - [j2]Josiane Xavier Parreira, Sebastian Michel, Gerhard Weikum:
p2pDating: Real life inspired semantic overlay networks for Web search. Inf. Process. Manag. 43(3): 643-664 (2007) - [c24]Thomas Neumann, Sebastian Michel:
Algebraic Query Optimization for Distributed Top-k Queries. BTW 2007: 324-343 - [c23]Matthias Bender, Sebastian Michel, Josiane Xavier Parreira, Tom Crecelius:
P2P Web Search: Make It Light, Make It Fly (Demo). CIDR 2007: 164-168 - [c22]Sebastian Michel, Josiane Xavier Parreira:
Peer-to-Peer Information Search. SBBD 2007: 391 - [c21]Josiane Xavier Parreira, Sebastian Michel, Matthias Bender, Tom Crecelius, Gerhard Weikum:
P2P Authority Analysis for Social Communities. VLDB 2007: 1398-1401 - [c20]Sebastian Michel, Thomas Neumann:
Search for the Best but Expect the Worst - Distributed Top-k Queries over Decreasing Aggregated Scores. WebDB 2007 - 2006
- [c19]Josiane Xavier Parreira, Sebastian Michel, Matthias Bender:
Size doesn't always matter: exploiting pageRank for query routing in distributed IR. P2PIR@CIKM 2006: 25-32 - [c18]Sebastian Michel, Matthias Bender, Nikos Ntarmos
, Peter Triantafillou, Gerhard Weikum, Christian Zimmer:
Discovering and exploiting keyword and attribute-value co-occurrences to improve P2P routing indices. CIKM 2006: 172-181 - [c17]Matthias Bender, Sebastian Michel, Sebastian Parkitny, Gerhard Weikum:
A Comparative Study of Pub/Sub Methods in Structured P2P Networks. DBISP2P 2006: 385-396 - [c16]Sebastian Michel, Matthias Bender, Peter Triantafillou, Gerhard Weikum:
IQN Routing: Integrating Quality and Novelty in P2P Querying and Ranking. EDBT 2006: 149-166 - [c15]Thomas Neumann, Matthias Bender, Sebastian Michel, Gerhard Weikum:
A Reproducible Benchmark for P2P Retrieval. ExpDB 2006: 1-8 - [c14]Matthias Bender, Sebastian Michel, Gerhard Weikum:
P2P Directories for Distributed Web Search: From Each According to His Ability, to Each According to His Needs. ICDE Workshops 2006: 51 - [c13]Matthias Bender, Sebastian Michel, Peter Triantafillou, Gerhard Weikum, Christian Zimmer:
P2P Content Search: Give the Web Back to the People. IPTPS 2006 - [c12]Josiane Xavier Parreira, Debora Donato, Sebastian Michel, Gerhard Weikum:
Efficient and Decentralized PageRank Approximation in a Peer-to-Peer Web Search Network. VLDB 2006: 415-426 - [c11]Matthias Bender, Sebastian Michel, Peter Triantafillou, Gerhard Weikum:
Global Document Frequency Estimation in Peer-to-Peer Web Search. WebDB 2006 - 2005
- [j1]Matthias Bender, Sebastian Michel, Gerhard Weikum, Christian Zimmer:
Das MINERVA-Projekt: Datenbankselektion für Peer-to-Peer-Websuche. Inform. Forsch. Entwickl. 20(3): 152-166 (2005) - [c10]Matthias Bender, Sebastian Michel, Gerhard Weikum, Christian Zimmer:
The MINERVA Project: Database Selection in the Context of P2P Search. BTW 2005: 125-144 - [c9]Sergey Chernov, Pavel Serdyukov, Matthias Bender, Sebastian Michel, Gerhard Weikum, Christian Zimmer:
Database Selection and Result Merging in P2P Web Search. DBISP2P 2005: 26-37 - [c8]Sebastian Michel, Peter Triantafillou, Gerhard Weikum:
MINERVAinfinity: A Scalable Efficient Peer-to-Peer Search Engine. Middleware 2005: 60-81 - [c7]Odysseas Papapetrou
, Sebastian Michel, Matthias Bender, Gerhard Weikum:
On the Usage of Global Document Occurrences in Peer-to-Peer Information Systems. OTM Conferences (1) 2005: 310-328 - [c6]Matthias Bender, Sebastian Michel, Peter Triantafillou, Gerhard Weikum, Christian Zimmer:
Improving collection selection with overlap awareness in P2P search engines. SIGIR 2005: 67-74 - [c5]Sebastian Michel, Peter Triantafillou, Gerhard Weikum:
KLEE: A Framework for Distributed Top-k Query Algorithms. VLDB 2005: 637-648 - [c4]