Konferenzbeiträge
Titel	Autor	Quelle
Knowledge-Guided Learning of Temporal Dynamics and its Application to Gas Turbines	Pawel Bielski, Aleksandr Eismont, Jakob Bach, Florian Leiser, Dustin Kottonau, Klemens Böhm	15th ACM International Conference on Future and Sustainable Energy Systems (ACM e-Energy 2024). DOI: 10.1145/3632775.3661967
DEAL: Data-Efficient Active Learning for Regression Under Drift	Bèla H.Böhnke, Edouard Fouchè und Klemens Böhm	28th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2024). DOI: 10.1007/978-981-97-2266-2_15
Nyström M-Hilbert-Schmidt Independence Criterion	Florian Kalinke, Zoltan Szabó	Thirty-Ninth Conference on Uncertainty in Artificial Intelligence (UAI 2023). URL: https://proceedings.mlr.press/v216/kalinke23a.html
Multi-kernel Times Series Outlier Detection	Florian Kalinke, Edouard Fouché, Haiko Thiessen, Klemens Böhm	26th International Conference on Discovery Science (DS 2023). DOI: 10.1007/978-3-031-45275-8_46
A benchmark of categorical encoders for binary classification	Federico Matteucci, Vadim Arzamasov, Klemens Böhm	Thirty-seventh Annual Conference on Neural Information Processing Systems (NeurIPS 2023). DOI: 10.48550/arXiv.2307.09191
Active Learning for SAT Solver Benchmarking	Tobias Fuchs, Jakob Bach, Markus Iser	29th International Conference on Tools and Algorithms for the Construction and Analysis of Systems (TACAS 2023). DOI: 10.1007/978-3-031-30823-9_21
Tandem Outlier Detectors for Decentralized Data	Marco Heyden, Jürgen Wilwer, Edouard Fouché, Vadim Arzamasov, Steffen Thoma, Sven Matthiesen, Thomas Gwosch	34th International Conference on Scientific and Statistical Database Management (SSDBM 2022). DOI: 10.1145/3538712.3538748
A Comprehensive Study of k-Portfolios of Recent SAT Solvers	Jakob Bach, Markus Iser, Klemens Böhm	25th International Conference on Theory and Applications of Satisfiability Testing (SAT 2022). DOI: 10.4230/LIPIcs.SAT.2022.2
Results from the Verification of Models of Spectrum Auctions	Elaheh Ordoni, Jutta Mülle, Klemens Böhm	12th International Symposium on Business Modeling and Software Design (BMSD 2022). DOI: 10.1007/978-3-031-11510-3_4
Efficient Verification of Process Models Supporting Modifications of Data Values	Elaheh Ordoni, Jutta Mülle, Kuan Yang, Klemens Böhm	24th IEEE International Conference on Business Informatics (CBI 2022). DOI: 10.1109/CBI54897.2022.00010
REDS: Rule Extraction for Discovering Scenarios	Vadim Arzamasov, Klemens Böhm	2021 International Conference on Management of Data (SIGMOD 2021). DOI: 10.1145/3448016.3457301
An Evaluation of NILM Approaches on Industrial Energy-Consumption Data	Florian Kalinke, Pawel Bielski, Snigdha Singh, Edouard Fouché, Klemens Böhm	Twelfth ACM International Conference on Future Energy Systems (ACM e-Energy 2021). DOI: 10.1145/3447555.3464863
Accurate Cardinality Estimation of Co-occurring Words Using Suffix Trees	Jens Willkomm, Martin Schäler, Klemens Böhm	26th International Conference on Database Systems for Advanced Applications (DASFAA 2021). DOI: 10.1007/978-3-030-73197-7_50
Verification of Data-Value-Aware Processes and a Case Study on Spectrum Auctions	Elaheh Ordoni, Jutta Mülle, Klemens Böhm	22nd IEEE International Conference on Business Informatics (CBI 2020). DOI: 10.1109/CBI49978.2020.00027
Mining Text Outliers in Document Directories	Edouard Fouché, Yu Meng, Fang Guo, Honglei Zhuang, Klemens Boehm, Jiawei Han	20th IEEE International Conference on Data Mining (ICDM 2020). DOI: 10.1109/ICDM50108.2020.00024
Privacy Measures and Storage Technologies for Battery-Based Load Hiding—an Overview and Experimental Study	Vadim Arzamasov, Rebecca Schwerdt, Shahab Karrari, Klemens Böhm, Tien Bach Nguyen	Eleventh ACM International Conference on Future Energy Systems (ACM e-Energy 2020). DOI: 10.1145/3396851.3398320
Finding the Sweet Spot: Batch Selection for One-Class Active Learning	Adrian Englhardt, Holger Trittenbach, Dennis Vetter, Klemens Böhm	2020 SIAM International Conference on Data Mining (SDM 2020). DOI: 10.1137/1.9781611976236.14
Exploring the Unknown - Query Synthesis in One-Class Active Learning	Adrian Englhardt, Klemens Böhm	2020 SIAM International Conference on Data Mining (SDM 2020). DOI: 10.1137/1.9781611976236.17
Unsupervised Artificial Neural Networks for Outlier Detection in High-Dimensional Data	Daniel Popovic, Edouard Fouché, Klemens Böhm	23rd European Conference on Advances in Databases and Information Systems (ADBIS 2019). DOI: 10.1007/978-3-030-28730-6_1
Learning from Few Samples: Lexical Substitution with Word Embeddings for Short Text Classification	Ábel Elekes, Simone Di Stefano, Martin Schäler, Klemens Böhm, Matthias Keller	2019 ACM/IEEE Joint Conference on Digital Libraries (JCDL 2019). DOI: 10.1109/JCDL.2019.00025
One-Class Active Learning for Outlier Detection with Multiple Subspaces	Holger Trittenbach, Klemens Böhm	28th ACM International Conference on Information and Knowledge Management (CIKM 2019). DOI: 10.1145/3357384.3357873
Efficient Interval-focused Similarity Search under Dynamic Time Warping	Jens Willkomm, Janek Bettinger, Martin Schäler, Klemens Böhm	16th International Symposium on Spatial and Temporal Databases (SSTD 2019). DOI: 10.1145/3340964.3340969
Monte Carlo Dependency Estimation	Edouard Fouché, Klemens Böhm	31st International Conference on Scientific and Statistical Database Management (SSDBM 2019). DOI: 10.1145/3335783.3335795
Informative Summarization of Numeric Data	Michael Vollmer, Lukasz Golab, Klemens Böhm, Divesh Srivastava	31st International Conference on Scientific and Statistical Database Management (SSDBM 2019). DOI: 10.1145/3335783.3335797
Minimizing Bias in Estimation of Mutual Information from Data Streams	Vadim Arzamasov, Klemens Böhm, Ignaz Rutter	31st International Conference on Scientific and Statistical Database Management (SSDBM 2019). DOI: 10.1145/3335783.3335796
Scaling Multi-Armed Bandit Algorithms	Edouard Fouché, Junpei Komiyama, Klemens Böhm	25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2019). DOI: 10.1145/3292500.3330862
Iterative Estimation of Mutual Information with Error Bounds	Michael Vollmer, Klemens Böhm	22nd International Conference on Extending Database Technology (EDBT/ICDT 2019). DOI:10.5441/002/edbt.2019.08
Efficient and Reliable Estimation of Cell Positions	Mirela T. Cazzolato, Agma J. M. Traina, Klemens Böhm	27th ACM International Conference on Information and Knowledge Management (CIKM 2018). DOI: 10.1145/3269206.3271734
Towards Simulation-Data Science – a Case Study on Material Failures	Holger Trittenbach, Martin Gauch, Klemens Böhm, Katrin Schulz	5th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2018). DOI: 10.1109/DSAA.2018.00058
Towards Concise Models of Grid Stability	Vadim Arzamasov, Klemens Böhm, Patrick Jochem	2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm 2018). DOI: 10.1109/SmartGridComm.2018.8587498
Resources to Examine the Quality of Word Embedding Models Trained on n-Gram Data	Ábel Elekes, Adrian Englhardt, Martin Schäler, Klemens Böhm	22nd Conference on Computational Natural Language Learning (CoNLL 2018). DOI: 10.18653/v1/K18-1041
Distance-Based Data Mining Over Encrypted Data	Christine Tex, Martin Schäler, Klemens Böhm	34th IEEE International Conference on Data Engineering (ICDE 2018). DOI: 10.1109/ICDE.2018.00126
Towards Meaningful Distance-Preserving Encryption	Christine Tex, Martin Schäler, Klemens Böhm	30th International Conference on Scientific and Statistical Database Management 2018 (SSDBM 2018). DOI: 10.1145/3221269.3223029
In-Database Analytics with ibmdbpy	Edouard Fouché, Alexander Eckert, Klemens Böhm	30th International Conference on Scientific and Statistical Database Management 2018 (SSDBM 2018). DOI: 10.1145/3221269.3223026
A Query Algebra for Temporal Text Corpora	Jens Willkomm, Christoph Schmidt-Petri, Martin Schäler, Michael Schefczyk, Klemens Böhm	ACM/IEEE Joint Conference on Digital Libraries in 2018 (JCDL 2018). DOI: 10.1145/3197026.3197044
On Complexity and Efficiency of Mutual Information Estimation on Static and Dynamic Data	Michael Vollmer, Ignaz Rutter, Klemens Böhm	21st International Conference on Extending Database Technology (EDBT 2018). DOI: 10.5441/002/edbt.2018.06
Accelerating mulit-column selection predicates in main-memory - the Elf approach	David Broneske, Veit Köppen, Gunter Saake, Martin Schäler
Process Synthesis with Sequential and Parallel Constraints	Richard Mrasek, Jutta Mülle, Klemens Böhm	24th International Conference on COOPERATIVE INFORMATION SYSTEMS (https://eventegg.com/coopis-2016/) Rhodos, Greece 2016
Towards Provable Privacy Guarantees Using Rechargeable Energy-Storage Devices	Fabian Laforet, Erik Buchmann, Klemens Böhm	Seventh ACM International Conference on Future Energy Systems (e-Energy'16), Waterloo, ON, Canada, 2016.
Estimating Mutual Information on Data Streams	Fabian Keller, Emmanuel Müller, Klemens Böhm	Proceedings of the 27th International Conference on Scientific and Statistical Database Management (SSDBM 2015), San Diego, USA (2015)
Deploying and Evaluating Pufferfish Privacy for Smart Meter Data	Stephan Kessler, Erik Buchmann, Klemens Böhm	12th IEEE International Conference on Ubiquitous Intelligence and Computing (UIC 2015)
How to Quantify the Impact of Lossy Transformations on Change Detection	Pavel Efros, Erik Buchmann, Adrian Englhardt, Klemens Böhm	Proceedings of 27th International Conference on Scientific and Statistical Database Management (SSDBM 2015 ), San Diego, CA, USA
Automatic Generation of Optimized Process Models from Declarative Specifications	Richard Mrasek, Jutta Mülle, Klemens Böhm	Proceedings of the 27th International Conference on Advanced Information Systems Engineering (CAiSE'15), 2015
Identifying User Interests within the Data Space - a Case Study with SkyServer	Hoang Vu Nguyen, Klemens Böhm, Florian Becker, Bertrand Goldman, Georg Hinkel, Emmanuel Müller	EDBT: 18th International Conference on Extending Database Technology
Efficient Algorithms for a Robust Modularity-Driven Clustering of Attributed Graphs	Patricia Iglesias Sánchez, Emmanuel Müller, Uwe Leo Korn, Klemens Böhm, Andrea Kappes, Tanja Hartmann, Dorothea Wagner	Proceedings of the SIAM International Conference on Data Mining (SDM 2015), Vancouver, Canada

Zeitschriftenbeiträge
Titel	Autor	Quelle
Exploring Reciprocal Exchanges and Trust-Based Authorizations: A Feasibility Demonstration with Location-Based Services	Gabriela Suntaxi, Aboubakr Achraf El Ghazi, Klemens Bohm
Combining simulation and experimental data via surrogate modelling of continuum dislocation dynamics simulations	Balduin Katzer, Daniel Betsche, Felix von Hoegen, Benjamin Jochum, Klemens Böhm, Katrin Schulz	Modelling and Simulation in Materials Science and Engineering (2024). DOI: 10.1088/1361-651X/ad4b4c
Alternative feature selection with user control	Jakob Bach, Klemens Böhm	International Journal of Data Science and Analytics (2024). DOI: 10.1007/s41060-024-00527-8
Adaptive Bernstein Change Detector for High-Dimensional Data Streams	Marco Heyden, Edouard Fouché, Vadim Arzamasov, Tanja Fenn, Florian Kalinke, Klemens Böhm	Data Mining and Knowledge Discovery (2024). DOI: 10.1007/s10618-023-00999-5
CH-Bench: a user-oriented benchmark for systems for efficient distant reading (design, performance, and insights)	Jens Willkomm, Markus Raster, Martin Schäler, Klemens Böhm	International Journal on Digital Libraries (2023). DOI: 10.1007/s00799-023-00347-4
Reduction of data-value-aware process models: A relevance-based approach	Elaheh Ordoni, Jutta Mülle, Klemens Böhm	Information Systems (2023). DOI: 10.1016/j.is.2022.102157
An Empirical Evaluation of Constrained Feature Selection	Jakob Bach, Kolja Zoller, Holger Trittenbach, Katrin Schulz, Klemens Böhm	SN Computer Science (2022). DOI: 10.1007/s42979-022-01338-z
Analyzing and Predicting Verification of Data-Aware Process Models—A Case Study With Spectrum Auctions	Elaheh Ordoni, Jakob Bach, Ann-Katrin Fleck	IEEE Access (2022). DOI: 10.1109/ACCESS.2022.3154445
Effcient SVDD Sampling with Approximation Guarantees for the Decision Boundary	Adrian Englhardt, Holger Trittenbach, Daniel Kottke, Bernhard Sick, Klemens Böhm	Machine Learning (2022). DOI: 10.1007/s10994-022-06149-0
Benchmarking Unsupervised Outlier Detection with Realistic Synthetic Data	Georg Steinbuss, Klemens Böhm	ACM Transactions on Knowledge Discovery from Data (TKDD) (2021). DOI: 10.1145/3441453
Efficient Subspace Search in Data Streams	Edouard Fouché, Florian Kalinke, Klemens Böhm	Information Systems (2021): DOI: 10.1016/j.is.2020.101705
An overview and a benchmark of active learning for outlier detection with one-class classifiers	Holger Trittenbach, Adrian Englhardt, Klemens Böhm	Expert Systems with Applications (2021). DOI: 10.1016/j.eswa.2020.114372
A framework for dependency estimation in heterogeneous data streams	Edouard Fouché, Alan Mazankiewicz, Florian Kalinke, Klemens Böhm	Distributed and Parallel Databases (2021). DOI: 10.1007/s10619-020-07295-x
Secrecy and Performance Models for Query Processing on Outsourced Graph Data	Gabriela Suntaxi, Aboubakr Achraf El Ghazi, Klemens Böhm	Distributed and Parallel Databases (2021). DOI: 10.1007/s10619-020-07284-0
Data-driven exploration and continuum modeling of dislocation networks	Markus Sudmanns, Jakob Bach, Katrin Schulz	Modelling and Simulation in Materials Science and Engineering (2020). DOI: 10.1088/1361-651X/ab97ef
An Ensemble Technique for Better Decisions Based on Data Streams and its Application to Data Privacy	Fabian Laforet, Christian Olms, Rudolf Biczok, Klemens Böhm	IEEE Transactions on Knowledge an Data Engineering (2020). DOI: 10.1109/TKDE.2020.2977035
Preserving Secrecy in Mobile Social Networks	Gabriela Suntaxi, Aboubakr Achraf El Ghazi, Klemens Böhm	ACM Transactions on Cyber-Physical Systems (2020). DOI: 10.1145/3396071
Improving Semantic Change Analysis by Combining Word Embeddings and Word Frequencies	Adrian Englhardt, Jens Willkomm, Martin Schäler, Klemens Böhm	International Journal on Digital Libraries (2020). DOI: 10.1007/s00799-019-00271-6
Towards More Meaningful Notions of Similarity in NLP Embedding Models	Ábel Elekes, Adrian Englhardt, Martin Schäler, Klemens Böhm	International Journal on Digital Libraries (2020). DOI: 10.1007/s00799-018-0237-y
On the Usefulness of SQL-Query-Similarity Measures to Find User Interests	Natalia Arzamasova, Klemens Böhm, Bertrand Goldman, Christian Saaler, Martin Schäler	IEEE Transactions on Knowledge and Data Engineering (2019). DOI: 10.1109/TKDE.2019.2913381
Reducing Energy Time Series for Energy System Models via Self-Organizing Maps	Hasan Ümitcan Yilmaz, Edouard Fouché, Thomas Dengiz, Lucas Krauß, Dogan Keles, Wolf Fichtner	it - Information Technology (2019). DOI: 10.1515/itit-2019-0025
Understanding the Effects of Temporal Energy-Data Aggregation on Clustering Quality	Holger Trittenbach, Jakob Bach, Klemens Böhm	it - Information Technology (2019). DOI: 10.1515/itit-2019-0014
How Meaningful Are Similarities in Deep Trajectory Representations?	Saeed Taghizadeh, Ábel Elekes, Martin Schäler, Klemens Böhm	Information Systems (2019). DOI: 10.1016/j.is.2019.101452
Data-driven crack assessment based on surface measurements	Katrin Schulz, Stephan Kreis, Holger Trittenbach, Klemens Böhm	Engineering Fracture Mechanics (2019). DOI: 10.1016/j.engfracmech.2019.106552
A Practical Data-Flow Verification Scheme for Business Processes	Jutta Mülle, Christine Tex, Klemens Böhm	Information Systems (2019). DOI: 10.1016/j.is.2018.12.002
Dimension-based Subspace Search for Outlier Detection	Holger Trittenbach, Klemens Böhm	International Journal of Data Science and Analytics (2019). DOI: 10.1007/s41060-018-0137-7
Cleaning Antipatterns in SQL Query Log	Natalia Arzamasova, Martin Schäler, Klemens Böhm	IEEE Transactions on Knowledge and Data Engineering (2018). DOI: 10.1109/TKDE.2017.2772252
Hiding Outliers in High-Dimensional Data Spaces	Georg Steinbuss, Klemens Böhm	International Journal of Data Science and Analytics (2017). DOI: 10.1007/s41060-017-0068-8
An Evaluation of Combinations of Lossy Compression and Change-Detection Approaches for Time-Series Data	Gregor Hollmig, Matthias Horne, Simon Leimkühler, Frederik Schöll, Carsten Strunk, Adrian Englhardt, Pavel Efros, Erik Buchmann, Klemens Böhm	Information Systems
How to Quantify the Impact of Lossy Transformations on Event Detection	Pavel Efros, Erik Buchmann, Adrian Englhardt, Klemens Böhm	Big Data Research, special issue on Online Forecasting and Proactive Analytics in the Big Data Era, Elsevier Science Publisher, 2017
Property Specification, Process Verification, and Reporting - a Case Study with Vehicle-Commissioning Processes	Richard Mrasek, Jutta Mülle, Klemens Böhm, Michael Becker, Christian Allmann	Information Systems, 56: 326-346, (2016)
Protecting the Dawid-Skene Algorithm against Low-Competence Raters and Collusion Attacks with Gold-Selection Strategies	Conny Kühne, Klemens Böhm	Social Network Analysis and Mining, Springer Verlag 2015
Individual privacy constraints on time-series data	Fabian Laforet, Erik Buchmann, Klemens Böhm	Information Systems, Volume 54, 2015, Pages 74–91
Improving Accuracy and Robustness of Self-Tuning Histograms by Subspace Clusterin	Andranik Khachatryan, Emmanuel Müller, Christian Stier, Klemens Böhm	IEEE Transactions on Knowledge and Data Engineering
A Time-Series Compression Technique and its Application to the Smart Grid	Frank Eichinger, Pavel Efros, Stamatis Karnouskos, Klemens Böhm	The VLDB Journal 24(2), 193-218, 2015
Detecting Data-Flow Errors in BPMN 2.0	Silvia von Stackelberg, Susanne Putze, Jutta Mülle, Klemens Böhm	Open Journal of Information Systems (OJIS), Vol. 1, No. 2, pp. 1-19, 2014, Online verfügbar
Deriving Bounds on the Size of Spatial Areas	Erik Buchmann, Patrick Erik Bradley, Klemens Böhm	Open Journal of Databases (OJDB)
Allocative and Strategic Effects of Privacy Enhancement in Smart Grids	Stephan Kessler, Christoph M Flath, Klemens Böhm	Information Systems Special Issue on Information Integrity in Smart Grid Systems
Identity Business Processes	Jens Müller, Klemens Böhm	International Journal of Trust Management in Computing and Communications, Inderscience Publishers, 2014.
Towards Effective Structure-Based Assessment of Proposals and Arguments in Online Deliberation	Sanja Tanasijevic, Klemens Böhm	Erscheint in International Journal of Systems and Service-Oriented Engineering (IJSSOE), Special Issue on Social Media Systems and Services, IGI Global, 2014.
A Near-Linear Time Subspace Search Scheme for Unsupervised Selection of Correlated Features	Hoang Vu Nguyen, Emmanuel Müller, Klemens Böhm	Big Data Research Journal, Elsevier (2014)
A New Verification Technique for Large Processes Based on Identification of Relevant Tasks	Richard Mrasek, Jutta Mülle, Klemens Böhm	Information Systems Journal, Elsevier Science Publisher, 2014
Unsupervised Interaction-Preserving Discretization of Multivariate Data	Hoang Vu Nguyen, Emmanuel Müller, Jilles Vreeken, Klemens Böhm	Data Mining and Knowledge Discovery Journal, Springer (2014)
Data Mining for Defects in Multicore Applications: An Entropy-Based Call-Graph Technique	Frank Eichinger, Victor Pankratius, Klemens Böhm	Concurrency and Computation: Practice and Experience 26(1), 1-20, 2014
Improved Bibliographic Reference Parsing Based on Repeated Patterns	Guido Sautter, Klemens Böhm	International Journal on Digital Libraries, Springer Verlag, 2014
Pattern-sensitive Time-series Anonymization and its Application to Energy-Consumption Data	Stephan Kessler, Erik Buchmann, Thorben Burghardt, Klemens Böhm	Journal: OJIS 2014, 1(1), Pages 3-22
Efficient and secure exact-match queries in outsourced databases	Clemens Heidinger, Klemens Böhm, Erik Buchmann, Martin Spoo	World Wide Web Journal
Re-identification of Smart Meter data	Erik Buchmann, Klemens Böhm, Thorben Burghardt and Stephan Kessler	Personal and Ubiquitous Computing, 17(4), 653-662.
Efficient and Secure Exact-Match Queries in Outsourced Databases	Clemens Heidinger, Klemens Böhm, Erik Buchmann, Martin Spoo	World Wide Web, Springer Verlag, 2013
Graphs for Mining-Based Defect Localization in Multithreaded Programs	Christopher Oßner, Klemens Böhm	International Journal of Parallel Programming, Volume 41, Issue 4(2013), Page 570-593
Anonymous Search Histories Featuring Personalized Advertisement - Balancing Privacy with Economic Interests	Thorben Burghardt, Klemens Böhm, Achim Guttmann, and Chris Clifton	Transactions on Data Privacy 4:1 (2011) 31 - 50
Impact assessment in public policy: Towards a Web 2.0 application	Clemens Heidinger, Erik Buchmann, and Klemens Böhm	Information Polity – The International Journal of Government and Democracy in the Information Age
Fault-Tolerant Query Processing for Structured Peer-to-Peer Systems	Markus Bestehorn, Christian von der Weth, Erik Buchmann, Klemens Böhm	Distributed and Paralell Databases - An International Journal
Count Suffix Trees for Natural Language Data	Guido Sautter, Klemens Böhm	International Journal of Data Engineering (IJDE), 3(1), 2012
Assessing the Suitability of an Honest Rating Mechanism for the Collaborative Creation of Structured Knowledge	Conny Kühne, Klemens Böhm	World Wide Web, Springer Verlag, 2012
A Study of the Impact of Structure on Cooperation in Networks	Stefan Schosser, Klemens Böhm, Bodo Vogt	Web Intelligence and Agent Systems: An International Journal, 9(3), 2011
From Source Code to Runtime Behaviour: Software Metrics Help to Select the Computer Architecture	Frank Eichinger, David Kramer, Klemens Böhm, Wolfgang Karl	Knowledge-Based Systems 23(4), 343-349, 2010 Proceedings of the 29th BCS SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence (AI), Cambridge, UK, 2009
Das datenschutzrechtliche Vollzugsdefizit im Bereich der Telemedien - ein Schreckensbericht	Jürgen Kühling, Anastasios Sivridis, Mathis Schwuchow, Thorben Burghardt	Datenschutz und Datensicherheit (DUD), 06/2009
Incentivizing connectivity in structured Peer-to-Peer systems	Björn-Oliver Hartmann, Klemens Böhm, Andranik Khachatryan, Stephan Schosser, Bodo Vogt	In: Web Intelligence and Agent Systems An International Journal, IOS Press, vol. 8, no. 2, pp. 123-147, 2010.
Query Dissemination in Sensor Networks - Predicting Reachability and Energy Consumption.	Markus Bestehorn, Zinaida Benenson, Erik Buchmann, Marek Jawurek, Klemens Böhm, and Felix Freiling.	In: Ad Hoc and Sensor Wireless Networks, 2009.
Automated derivation of executable business processes from choreographies in virtual organisations.	Ingo Weber, Jochen Haller, Jutta Mülle	Int. Journal of Business Process Integration and Management, Vol. 3, No. 2, 2008, pp. 85 - 95
Towards a Systematic Evaluation of Protein Mutation Extraction Systems	René Witte, Christopher J. O. Baker	Journal of Bioinformatics and Computational Biology (JBCB), Volume 5, Issue 6, December 2007, pp.1339-1359.
Enhanced Semantic Access to the Protein Engineering Literature using Ontologies Populated by Text Mining	René Witte, Thomas Kappler, Christopher J. O. Baker	International Journal of Bioinformatics Research and Applications (IJBRA), Volume 3, Issue 3, 2007. PMID: 18048198.
A Combined Approach to Find all Taxon Names (FAT) in Legacy Biosystematics Literature	Guido Sautter, Donat Agosti, Klemens Böhm	Biodiversity Informatics 2006.
Free-Riding-Aware Forwarding in Content-Addressable Networks	Klemens Böhm, Erik Buchmann	VLDB Journal, 2005
Verteiltes Webcrawling in einer Peer-to-Peer-Umgebung	Holger Steinhaus, Klemens Böhm	Datenbank Spektrum, Heft 13/Mai 05
Von den Eigenschaften zur Architektur	P.C.Lockemann, J.Nimis	it - Information Technology 47:1 (2005), 28-35
PowerDB-IR – Scalable Information Retrieval and Storage on Top of a Database Cluster	Torsten Grabs, Klemens Böhm, Hans-Jörg Schek	Knowledge and Information Systems 6(4): 465-505, 2004

Bücher
Titel	Autor	Quelle
Proceedings Datenbanksysteme in Business, Technologie und Web	G.Vossen, F.Leymann, P.Lockemann, W.Stucky	Lect. Notes in Informatics, Ges. f. Informatik 2005

Veröffentlichungen - Buchbeiträge
Titel	Autor	Quelle
Optimization Techniques for Multiple Centrality Computations	Christian von der Weth, Klemens Böhm, Christian Hütter	In Tansel Ozyer et al. (Eds.), The Influence of Technology on Social Network Analysis and Mining. Springer, 2013.
Data Analysis Challenges in the Future Energy Domain	Frank Eichinger, Daniel Pathmaperuma, Harald Vogt, Emmanuel Müller	In Ting Yu, Nitesh Chawla, Simeon Simoff (editors): Computational Intelligent Data Analysis for Sustainable Development, Chapman and Hall/CRC, 2013.
Software-Bug Localization with Graph Mining	Frank Eichinger, Klemens Böhm	In Charu C. Aggarwal, Haixun Wang (editors): Managing and Mining Graph Data, Springer, 2010.
Valuation-Aware Traffic Control - the Notion and the Issues	Heiko Schepperle, Klemens Böhm	In Ana L. C. Bazzan, Franziska Klügl (Hrsg.): Handbook of Research on Multi-Agent Systems for Traffic and Transportation Engineering, Information Science Reference, April 2009.
Trust Mechanisms and Reputation Systems	Erik Buchmann	In: Lect. Notes in Algorithms for Sensor and Ad Hoc Networks, Vol. 4621, P. 325-336, Springer, 2007.
Erkennung und Vermeidung von unkooperativem Verhalten in Peer-to-Peer-Datenstrukturen	Erik Buchmann	Ausgezeichnete Informatikdissertationen 2006, Bd. D-7, Springer, Hrdg.: D. Wagner et al., 2007, S. 19–28
Ontology Design for Biomedical Text Mining.	René Witte, Thomas Kappler, Christopher J. O. Baker	Chapter 13 in "Semantic Web: Revolutionizing Knowledge Discovery in the Life Sciences", Springer Verlag, 2007.

Workshop-Beiträge
Titel	Autor	Quelle
Towards Automatically Refining Low-Quality Domain Knowledge: A Case Study in Healthcare	Pawel Bielski, Sönke Jendral, Lena Witterauf, Jakob Bach	1st European Knowledge-Guided Machine Learning Workshop (KGML 2023).
Validating One-Class Active Learning with User Studies - a Prototype and Open Challenges	Holger Trittenbach, Adrian Englhardt, Klemens Böhm	3rd International Workshop on Interactive Adaptive Learning (IAL 2019). URL: https://ceur-ws.org/Vol-2444/ialatecml_paper2.pdf
Energy Time-Series Features for Emerging Applications on the Basis of Human-Readable Machine Descriptions	Michael Vollmer, Holger Trittenbach, Shahab Karrari, Adrian Englhardt, Pawel Bielski, Klemens Böhm	2nd International Workshop on Energy Data and Analytics (EDA 2019). DOI: 10.1145/3307772.3331022
FOBSS: Monitoring Data from a Modular Battery System	Georg Steinbuss, Benedikt Rzepka, Simon Bischof, Thomas Blank, Klemens Böhm	2nd International Workshop on Energy Data and Analytics (EDA 2019). DOI: 10.1145/3307772.3331020
The Effect of Temporal Aggregation on Battery Sizing for Peak Shaving	Dominik Werle, Simon Bischof, Holger Trittenbach, Daniel Warzel, Anne Koziolek, Klemens Böhm	2nd International Workshop on Energy Data and Analytics (EDA 2019). DOI: 10.1145/3307772.3331023
HIPE – An Energy-Status-Data Set from Industrial Production	Simon Bischof, Dominik Werle, Holger Trittenbach, Thomas Blank, Michael Vollmer, Klemens Böhm	1st International Workshop on Energy Data and Analytics (EDA 2018). DOI: 10.1145/3208903.3210278
On the Tradeoff between Energy Data Aggregation and Clustering Quality	Holger Trittenbach, Jakob Bach, Klemens Böhm	9th ACM International Conference on Future Energy Systems (ACM e-Energy 2018). DOI: 10.1145/3208903.3212038
PrivEnergy – a Privacy Operator Framework Addressing Individual Concerns	Christine Tex, Philipp Hertweck, Martin Schäler, Klemens Böhm	9th ACM International Conference on Future Energy Systems (ACM e-Energy 2018). DOI: 10.1145/3208903.3212048
Single Instruction Multiple Date - Not Everything is an Nail for this Hammer	David Broneske, Martin Schäler	VLDB FADS Workshop 2017
Ranking Outlier Nodes in Subspaces of Attributed Graphs	Emmanuel Müller, Patricia Iglesias, Yvonne Mülle, Klemens Böhm	Proc. 4th International Workshop on Graph Data Management: Techniques and Applications (GDM 2013) in conjunction with IEEE 29th International Conference on Data Engineering (ICDE 2013), Brisbane, Australia (2013)
Instant Selection of High Contrast Projections in Multi-dimensional Data Streams	Andrei Vanea, Emmanuel Müller, Fabian Keller, Klemens Böhm	Proceedings of the Workshop on Instant Interactive Data Mining (IID 2012) in conjunction with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2012), Bristol, UK
Semantic Support for Security-Annotated Business Process Models	Ioana Ciuciu, Gang Zhao, Jutta Mülle, Silvia von Stackelberg, Cristian Vasquez, Thorsten Haberecht, Robert Meersman and Klemens Böhm.	BPMDS 2011 - International series of working conferences on Business Process Modelling, Development and Support
Collaborative Data Privacy for the Web	Clemens Heidinger, Erik Buchmann, and Klemens Böhm	PAIS '10: The 3rd International Workshop on Privacy and Anonymity in the Information Society
Towards Scalability of Graph-Mining Based Bug Localisation	Frank Eichinger, Klemens Böhm	Proceedings of the 7th International Workshop on Mining and Learning with Graphs (MLG), Leuven, Belgium, 2009
PRIMO – Towards Privacy Aware Image Sharing	Thorben Burghardt, Andreas Walter, and Erik Buchmann.	CISWSN in Conjunction with IEEE/WIC/ACM Conference on Web Intelligence, December 2008.
Where in the Sensor Network Should the Join Be Computed, After All?	Mirco Stern, Erik Buchmann, and Klemens Böhm.	In Proceedings of the First Ubiquitous Knowledge Discovery Workshop (UKD'08), September 2008.
Why Do Privacy-Enhancement Mechanisms Fail, After All?	Thorben Burghardt, Erik Buchmann, and Klemens Böhm.	In Proceedings of the International Workshop on Web 2.0 Trust (W2Trust'08), June 2008.
Improved Software Fault Detection with Graph Mining	Frank Eichinger, Klemens Böhm, Matthias Huber	Proceedings of the 6th International Workshop on Mining and Learning with Graphs (MLG), Helsinki, Finland, 2008
Kombiniertes Mining von strukturellen und relationalen Daten	Frank Eichinger, Klemens Böhm	Proceedings of the 20th GI-Workshop on Foundations of Databases (GvD), Apolda, Germany, 2008
Agent-Based Traffic Control Using Auctions	Heiko Schepperle, Klemens Böhm	In Eleventh International Workshop on Cooperative Information Agents (CIA 2007), Delft, The Netherlands, September 2007.
Optimal Locations for Join Processing in Sensor Networks	Mirco Stern	International Workshop on Data Intensive Sensor Networks (DISN'07), Mannheim, Germany, May 2007
Traffic Management Based on Negotiations between Vehicles – a Feasibility Demonstration Using Agents	Heiko Schepperle, Klemens Böhm, Simone Forster	In Ninth Workshop on Agent Mediated Electronic Commerce (AMEC IX), Honolulu, Hawai’i, USA, Mai 2007.
Connecting Wikis and Natural Language Processing Systems	René Witte, Thomas Gitzinger	Proceedings of the 2007 International Symposium on Wikis (WikiSym 2007), pp. 165-176, October 21-23, 2007, Montréal, Canada. ACM, New York, NY, USA.
Sequence Mining for Customer Behaviour Predictions in Telecommunications	Frank Eichinger, Detlef D. Nauck, Frank Klawonn	Proceedings of the Workshop on Practical Data Mining: Applications, Experiences and Challenges, Berlin, Germany, 2006
A Unified Ontology-Based Process Model for Software Maintenance and Comprehension	Juergen Rilling, Yonggang Zhang, Wen Jun Meng, René Witte, Volker Haarslev, Philippe Charland	Workshops and Symposia at MoDELS 2006, Genoa, Italy, October 1-6, 2006, Reports and Revised Selected Papers, pp.56-65, LNCS 4364, 2007, Springer.

Technische Berichte und Interne Berichte
Titel	Autor	Quelle
Nyström Kernel Stein Discrepancy	Florian Kalinke, Zoltan Szabo, Bharath K. Sriperumbudur	arXiv [stat.ML] (2024). DOI: 10.48550/arXiv.2406.08401
Using Constraints to Discover Sparse and Alternative Subgroup Descriptions	Jakob Bach	arXiv [cs.LG] (2024). DOI: 10.48550/arXiv.2406.01411
The Minimax Rate of HSIC Estimation for Translation-Invariant Kernels	Florian Kalinke, Zoltán Szabò	arXiv [math.ST] (2024). DOI: 10.48550/arXiv.2403.07735
Uncertainty-Aware Partial-Label Learning	Tobias Fuchs, Florian Kalinke, Klemens Böhm	arXiv [cs.LG] (2024). DOI: 10.48550/arXiv.2402.00592
Finding Optimal Diverse Feature Sets with Alternative Feature Selection	Jakob Bach	arXiv [cs.LG] (2023). DOI: 10.48550/arXiv.2307.11607
Maximum Mean Discrepancy on Exponential Windows for Online Change Detection	Florian Kalinke, Marco Heyden, Edouard Fouché, Klemens Böhm	arXiv [cs.LG] (2022). DOI: 10.48550/arXiv.2205.12706
Verifying Workflow Models with Data Values - a Case Study of SMR Spectrum Auctions	Elaheh Ordoni, Jutta Mülle, Klemens Böhm	Karlsruhe Reports in Informatics 2019,4 ISSN 2190-4782
On the Various Semantics of Similarity in Word Embedding Models	Ábel Elekes, Martin Schäler, Klemens Böhm	Karlsruhe Reports in Informatics 2017,3 ISSN 2190-4782
A Practical Data-Flow Verification Scheme for Business Processes	C. Tex, J.Mülle, K. Böhm	Karlsruhe Reports in Informatics
On the Usability of a Break-the-Glass Annotation Language for Process Models	Silvia von Stackelberg, Klemens Böhm, Stefan Grabatin, Jürgen Wäsch	Karlsruhe Reports in Informatics ; 2014,16 ISSN: 2190-4782
Automatic Generation of Optimized Process Models from Declarative Specifications	Richard Mrasek, Jutta Mülle, Klemens Böhm	Karlsruhe Reports in Informatics ; 2014,15
Deploying and Evaluating Pufferfish Privacy for Smart Meter Data (Technical Report '15)	Stephan Kessler, Erik Buchmann, Klemens Böhm	Karlsruhe Reports in Informatics ; 2015,1
FRESCO: A Framework for the Energy Estimation of Computers (Extended Version)	Pavel Efros, Erik Buchmann, Klemens Böhm	Karlsruhe Reports in Informatics; 2014,4 ISSN: 2190-4782
FACTS: A Framework for Anonymity towards Comparability, Transparency, and Sharing (Extended Version)	Clemens Heidinger, Klemens Böhm, Erik Buchmann, Kai Richter	Karlsruhe Reports in Informatics
How Much do Digital Natives Disclose on the Internet - a Privacy Study	Erik Buchmann, Klemens Böhm	Karlsruhe Reports in Informatics
Embedding 'Break the Glass' into Business Process Models	Silvia von Stackelberg, Klemens Böhm and Matthias Bracht	Technical Report, Faculty of Informatics, Karlsruhe Institute of Technology (KIT)
A Security Language for BPMN Process Models	Jutta Mülle, Silvia von Stackelberg, Klemens Böhm	Karlsruhe Reports in Informatics
Energy-Efficient Processing of Spatio-Temporal Queries in Wireless Sensor Networks (Extended Version)	Markus Bestehorn Klemens Böhm Erik Buchmann Stephan Kessler	Interner Bericht (Nr. 2010,12) des Karlsruher Instituts für Technologie Fakultät für Informatik Institut für Programm Strukturen und Datenorganisation (IPD)
On the Usefulness of Weight-Based Constraints in Frequent Subgraph Mining	Frank Eichinger, Matthias Huber, Klemens Böhm	Proceedings of the 30th BCS SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence (AI), Cambridge, UK, 2010 Karlsruhe Reports in Informatics 2010,10, Fakultät für Informatik, Karlsruher Institut für Technologie (KIT)
Towards Efficient Equilibria of Combinations of Network-Formation and Interaction Strategies	Björn-Oliver Hartmann, Klemens Böhm, and Christian Hütter.	Karlsruhe Institute of Technology (KIT), Tech. Rep. 2010-6, 2010.

Publikationen des IPD Lockemann 1995 - 2002

2001

Bücher und Buchbeiträge	2002	2001	2000	1995-1999
Tagungsbände und Beiträge in Tagungsbänden und Zeitschriften	2002	2001	2000	1995-1999
Interne Berichte	2002	2001	2000	1995-1999
Promotionsarbeiten	2002	2001	2000	1995-1999
Diplomarbeiten	2002	2001	2000	1995-1999
Vorträge	2002	2001	2000	1995-1999