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ORCIDKlemens Böhm
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- affiliation: Karlsruhe Institute of Technology, IPD, Germany
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2020 – today
- 2024
[j72]Marco Heyden
, Edouard Fouché, Vadim Arzamasov, Tanja Fenn, Florian Kalinke, Klemens Böhm:
Adaptive Bernstein change detector for high-dimensional data streams. Data Min. Knowl. Discov. 38(3): 1334-1363 (2024)- [j71]Jakob Bach, Klemens Böhm:
Correction to: Alternative feature selection with user control. Int. J. Data Sci. Anal. 18(3): 349-350 (2024) - [c190]Marco Heyden, Vadim Arzamasov, Edouard Fouché, Klemens Böhm:
Budgeted Multi-Armed Bandits with Asymmetric Confidence Intervals. KDD 2024: 1073-1084 - [c189]Béla H. Böhnke, Edouard Fouché, Klemens Böhm:
DEAL: Data-Efficient Active Learning for Regression Under Drift. PAKDD (6) 2024: 188-200 - [c188]Marco Heyden, Heitor Murilo Gomes, Edouard Fouché, Bernhard Pfahringer, Klemens Böhm:
Leveraging Plasticity in Incremental Decision Trees. ECML/PKDD (5) 2024: 38-54 - [c187]Daniel Betsche, Balduin Katzer, Katrin Schulz, Klemens Böhm:
Towards a Temporal Graph Query Language for Durable Patterns. SSDBM 2024: 13:1-13:4 - [i20]Tobias Fuchs, Florian Kalinke, Klemens Böhm:
Uncertainty-Aware Partial-Label Learning. CoRR abs/2402.00592 (2024) - [i19]Jose Cribeiro-Ramallo, Vadim Arzamasov, Klemens Böhm:
Efficient Generation of Hidden Outliers for Improved Outlier Detection. CoRR abs/2402.03846 (2024) - [i18]Jose Cribeiro-Ramallo, Vadim Arzamasov, Federico Matteucci, Denis Wambold, Klemens Böhm:
Generative Subspace Adversarial Active Learning for Outlier Detection in Multiple Views of High-dimensional Data. CoRR abs/2404.14451 (2024) - [i17]Tu Anh Dinh, Carlos Mullov, Leonard Bärmann, Zhaolin Li, Danni Liu, Simon Reiß, Jueun Lee, Nathan Lerzer, Fabian Tërnava, Jianfeng Gao, Alexander Waibel, Tamim Asfour, Michael Beigl, Rainer Stiefelhagen, Carsten Dachsbacher, Klemens Böhm, Jan Niehues:
SciEx: Benchmarking Large Language Models on Scientific Exams with Human Expert Grading and Automatic Grading. CoRR abs/2406.10421 (2024) - [i16]Federico Matteucci, Vadim Arzamasov, Jose Cribeiro-Ramallo, Marco Heyden, Konstantin Ntounas, Klemens Böhm:
Generalizability of experimental studies. CoRR abs/2406.17374 (2024) - 2023
- [j70]Elaheh Ordoni, Jutta A. Mülle, Klemens Böhm:
Reduction of data-value-aware process models: A relevance-based approach. Inf. Syst. 114: 102157 (2023) - [j69]Jens Willkomm, Markus Raster, Martin Schäler, Klemens Böhm:
CH-Bench: a user-oriented benchmark for systems for efficient distant reading (design, performance, and insights). Int. J. Digit. Libr. 24(4): 243-261 (2023) - [c186]Florian Kalinke, Edouard Fouché, Haiko Thiessen, Klemens Böhm:
Multi-kernel Times Series Outlier Detection. DS 2023: 688-702 - [c185]Federico Matteucci, Vadim Arzamasov, Klemens Böhm:
A benchmark of categorical encoders for binary classification. NeurIPS 2023 - [i15]Marco Heyden, Vadim Arzamasov, Edouard Fouché, Klemens Böhm:
Budgeted Multi-Armed Bandits with Asymmetric Confidence Intervals. CoRR abs/2306.07071 (2023) - [i14]Marco Heyden, Edouard Fouché, Vadim Arzamasov, Tanja Fenn, Florian Kalinke, Klemens Böhm:
Adaptive Bernstein Change Detector for High-Dimensional Data Streams. CoRR abs/2306.12974 (2023) - [i13]Federico Matteucci, Vadim Arzamasov, Klemens Böhm:
A benchmark of categorical encoders for binary classification. CoRR abs/2307.09191 (2023) - 2022
- [j68]Mirela T. Cazzolato, Agma J. M. Traina, Klemens Böhm:
Establishing trajectories of moving objects without identities: The intricacies of cell tracking and a solution. Inf. Syst. 105: 101955 (2022) - [j67]Christine Tex, Martin Schäler, Klemens Böhm:
Swellfish privacy: Supporting time-dependent relevance for continuous differential privacy. Inf. Syst. 109: 102079 (2022) - [j66]Adrian Englhardt, Holger Trittenbach, Daniel Kottke, Bernhard Sick, Klemens Böhm:
Efficient SVDD sampling with approximation guarantees for the decision boundary. Mach. Learn. 111(4): 1349-1375 (2022) - [j65]Jakob Bach, Kolja Zoller, Holger Trittenbach, Katrin Schulz, Klemens Böhm:
An Empirical Evaluation of Constrained Feature Selection. SN Comput. Sci. 3(6): 445 (2022) - [c184]Elaheh Ordoni, Jutta A. Mülle, Klemens Böhm:
Results from the Verification of Models of Spectrum Auctions. BMSD 2022: 54-68 - [c183]Jakob Bach, Markus Iser, Klemens Böhm:
A Comprehensive Study of k-Portfolios of Recent SAT Solvers. SAT 2022: 2:1-2:18 - [c182]Elaheh Ordoni, Jutta A. Mülle, Kuan Yang, Klemens Böhm:
Efficient Verification of Process Models Supporting Modifications of Data Values. CBI (1) 2022: 21-30 - [i12]Florian Kalinke, Marco Heyden, Edouard Fouché, Klemens Böhm:
Scalable Online Change Detection for High-dimensional Data Streams. CoRR abs/2205.12706 (2022) - 2021
- [j64]Gabriela Suntaxi, Aboubakr Achraf El Ghazi, Klemens Böhm:
Secrecy and performance models for query processing on outsourced graph data. Distributed Parallel Databases 39(1): 35-77 (2021) - [j63]Edouard Fouché, Alan Mazankiewicz, Florian Kalinke, Klemens Böhm:
A framework for dependency estimation in heterogeneous data streams. Distributed Parallel Databases 39(2): 415-444 (2021) - [j62]Holger Trittenbach, Adrian Englhardt, Klemens Böhm:
An overview and a benchmark of active learning for outlier detection with one-class classifiers. Expert Syst. Appl. 168: 114372 (2021) - [j61]Natalia Arzamasova, Klemens Böhm:
Scalable and data-aware SQL query recommendations. Inf. Syst. 96: 101646 (2021) - [j60]Edouard Fouché, Florian Kalinke, Klemens Böhm:
Efficient subspace search in data streams. Inf. Syst. 97: 101705 (2021) - [j59]Saeed Taghizadeh, Ábel Elekes, Martin Schäler, Klemens Böhm:
How meaningful are similarities in deep trajectory representations? Inf. Syst. 98: 101452 (2021) - [j58]Gabriela Suntaxi, Aboubakr Achraf El Ghazi, Klemens Böhm:
Preserving Secrecy in Mobile Social Networks. ACM Trans. Cyber Phys. Syst. 5(1): 5:1-5:29 (2021) - [j57]Georg Steinbuss, Klemens Böhm:
Generating Artificial Outliers in the Absence of Genuine Ones - A Survey. ACM Trans. Knowl. Discov. Data 15(2): 30:1-30:37 (2021) - [j56]Georg Steinbuss, Klemens Böhm:
Benchmarking Unsupervised Outlier Detection with Realistic Synthetic Data. ACM Trans. Knowl. Discov. Data 15(4): 65:1-65:20 (2021) - [j55]Fabian Laforet, Christian Olms, Rudolf Biczok, Klemens Böhm:
An Ensemble Technique for Better Decisions Based on Data Streams and its Application to Data Privacy. IEEE Trans. Knowl. Data Eng. 33(12): 3662-3674 (2021) - [c181]Jens Willkomm, Martin Schäler, Klemens Böhm:
Accurate Cardinality Estimation of Co-occurring Words Using Suffix Trees. DASFAA (2) 2021: 721-737 - [c180]Florian Kalinke, Pawel Bielski, Snigdha Singh, Edouard Fouché, Klemens Böhm:
An Evaluation of NILM Approaches on Industrial Energy-Consumption Data. e-Energy 2021: 239-243 - [c179]Vadim Arzamasov, Klemens Böhm:
REDS: Rule Extraction for Discovering Scenarios. SIGMOD Conference 2021: 115-128 - [i11]Vadim Arzamasov, Benjamin Jochum, Klemens Böhm:
Pedagogical Rule Extraction for Learning Interpretable Models. CoRR abs/2112.13285 (2021) - 2020
- [j54]Alan Mazankiewicz, Klemens Böhm, Mario Berges:
Incremental Real-Time Personalization in Human Activity Recognition Using Domain Adaptive Batch Normalization. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(4): 144:1-144:20 (2020) - [j53]Ábel Elekes, Adrian Englhardt, Martin Schäler, Klemens Böhm:
Toward meaningful notions of similarity in NLP embedding models. Int. J. Digit. Libr. 21(2): 109-128 (2020) - [j52]Adrian Englhardt, Jens Willkomm, Martin Schäler, Klemens Böhm:
Improving semantic change analysis by combining word embeddings and word frequencies. Int. J. Digit. Libr. 21(3): 247-264 (2020) - [j51]Natalia Arzamasova, Klemens Böhm, Bertrand Goldman, Christian Saaler, Martin Schäler:
On the Usefulness of SQL-Query-Similarity Measures to Find User Interests. IEEE Trans. Knowl. Data Eng. 32(10): 1982-1999 (2020) - [c178]Holger Trittenbach, Klemens Böhm, Ira Assent:
Active Learning of SVDD Hyperparameter Values. DSAA 2020: 109-117 - [c177]Vadim Arzamasov, Rebecca Schwerdt, Shahab Karrari, Klemens Böhm, Tien Bach Nguyen:
Privacy Measures and Storage Technologies for Battery-Based Load Hiding - an Overview and Experimental Study. e-Energy 2020: 178-195 - [c176]Birgitta König-Ries, Klemens Böhm:
Data Science - more than just Machine Learning: A summary of the Data Science Session at INFORMATIK 2020. GI-Jahrestagung 2020: 59-60 - [c175]Edouard Fouché, Yu Meng, Fang Guo, Honglei Zhuang, Klemens Böhm, Jiawei Han:
Mining Text Outliers in Document Directories. ICDM 2020: 152-161 - [c174]Adrian Englhardt, Holger Trittenbach, Dennis Vetter, Klemens Böhm:
Finding the Sweet Spot: Batch Selection for One-Class Active Learning. SDM 2020: 118-126 - [c173]Adrian Englhardt, Klemens Böhm:
Exploring the Unknown - Query Synthesis in One-Class Active Learning. SDM 2020: 145-153 - [c172]Elaheh Ordoni, Jutta A. Mülle, Klemens Böhm:
Verification of Data-Value-Aware Processes and a Case Study on Spectrum Auctions. CBI (1) 2020: 181-190 - [i10]Georg Steinbuss, Klemens Böhm:
Benchmarking Unsupervised Outlier Detection with Realistic Synthetic Data. CoRR abs/2004.06947 (2020) - [i9]Alan Mazankiewicz, Klemens Böhm, Mario Bergés:
Incremental Real-Time Personalization in Human Activity Recognition Using Domain Adaptive Batch Normalization. CoRR abs/2005.12178 (2020) - [i8]Georg Steinbuss, Klemens Böhm:
Generating Artificial Outliers in the Absence of Genuine Ones - a Survey. CoRR abs/2006.03646 (2020) - [i7]Adrian Englhardt, Holger Trittenbach, Daniel Kottke, Bernhard Sick, Klemens Böhm:
Efficient SVDD Sampling with Approximation Guarantees for the Decision Boundary. CoRR abs/2009.13853 (2020) - [i6]Edouard Fouché, Florian Kalinke, Klemens Böhm:
Efficient Subspace Search in Data Streams. CoRR abs/2011.06959 (2020)
2010 – 2019
- 2019
- [j50]Holger Trittenbach, Klemens Böhm:
Dimension-based subspace search for outlier detection. Int. J. Data Sci. Anal. 7(2): 87-101 (2019) - [j49]Jutta A. Mülle, Christine Tex, Klemens Böhm:
A practical data-flow verification scheme for business processes. Inf. Syst. 81: 136-151 (2019) - [j48]Klemens Böhm, Dominik Werle:
Energy status data. it Inf. Technol. 61(2-3): 71-72 (2019) - [j47]Holger Trittenbach, Jakob Bach, Klemens Böhm:
Understanding the effects of temporal energy-data aggregation on clustering quality. it Inf. Technol. 61(2-3): 111-123 (2019) - [c171]Daniel Popovic, Edouard Fouché, Klemens Böhm:
Unsupervised Artificial Neural Networks for Outlier Detection in High-Dimensional Data. ADBIS 2019: 3-19 - [c170]Holger Trittenbach, Klemens Böhm:
One-Class Active Learning for Outlier Detection with Multiple Subspaces. CIKM 2019: 811-820 - [c169]Michael Vollmer, Klemens Böhm:
Iterative Estimation of Mutual Information with Error Bounds. EDBT 2019: 73-84 - [c168]Georg Steinbuss, Benedikt Rzepka, Simon Bischof, Thomas Blank, Klemens Böhm:
FOBSS: Monitoring Data from a Modular Battery System. e-Energy 2019: 456-459 - [c167]Michael Vollmer, Adrian Englhardt, Holger Trittenbach, Pawel Bielski, Shahab Karrari, Klemens Böhm:
Energy Time-Series Features for Emerging Applications on the Basis of Human-Readable Machine Descriptions. e-Energy 2019: 474-481 - [c166]Dominik Werle, Daniel Warzel, Simon Bischof, Anne Koziolek, Holger Trittenbach, Klemens Böhm:
The Effect of Temporal Aggregation on Battery Sizing for Peak Shaving. e-Energy 2019: 482-485 - [c165]Ábel Elekes, Antonino Simone Di Stefano, Martin Schäler, Klemens Böhm, Matthias Keller:
Learning from Few Samples: Lexical Substitution with Word Embeddings for Short Text Classification. JCDL 2019: 111-119 - [c164]Edouard Fouché, Junpei Komiyama, Klemens Böhm:
Scaling Multi-Armed Bandit Algorithms. KDD 2019: 1449-1459 - [c163]Gabriela Suntaxi, Aboubakr Achraf El Ghazi, Klemens Böhm:
Mutual Authorizations: Semantics and Integration Issues. SACMAT 2019: 213-218 - [c162]Jens Willkomm, Janek Bettinger, Martin Schäler, Klemens Böhm:
Efficient Interval-focused Similarity Search under Dynamic Time Warping. SSTD 2019: 130-139 - [c161]Vadim Arzamasov, Klemens Böhm, Ignaz Rutter:
Minimizing Bias in Estimation of Mutual Information from Data Streams. SSDBM 2019: 1-12 - [c160]Edouard Fouché, Klemens Böhm:
Monte Carlo Dependency Estimation. SSDBM 2019: 13-24 - [c159]Michael Vollmer, Lukasz Golab, Klemens Böhm, Divesh Srivastava:
Informative Summarization of Numeric Data. SSDBM 2019: 97-108 - [i5]Vadim Arzamasov, Klemens Böhm:
Scenario Discovery via Rule Extraction. CoRR abs/1910.01713 (2019) - [i4]Holger Trittenbach, Klemens Böhm, Ira Assent:
Active Learning of SVDD Hyperparameter Values. CoRR abs/1912.01927 (2019) - 2018
- [j46]Natalia Arzamasova, Martin Schäler, Klemens Böhm:
Cleaning Antipatterns in an SQL Query Log. IEEE Trans. Knowl. Data Eng. 30(3): 421-434 (2018) - [c158]Mirela T. Cazzolato, Agma J. M. Traina, Klemens Böhm:
Efficient and Reliable Estimation of Cell Positions. CIKM 2018: 1043-1052 - [c157]Ábel Elekes, Adrian Englhardt, Martin Schäler, Klemens Böhm:
Resources to Examine the Quality of Word Embedding Models Trained on n-Gram Data. CoNLL 2018: 423-432 - [c156]Holger Trittenbach, Martin Gauch, Klemens Böhm, Katrin Schulz:
Towards Simulation-Data Science - A Case Study on Material Failures. DSAA 2018: 450-459 - [c155]Michael Vollmer, Ignaz Rutter, Klemens Böhm:
On Complexity and Efficiency of Mutual Information Estimation on Static and Dynamic Data. EDBT 2018: 49-60 - [c154]Holger Trittenbach, Jakob Bach, Klemens Böhm:
On the Tradeoff between Energy Data Aggregation and Clustering Quality. e-Energy 2018: 399-401 - [c153]Christine Tex, Philipp Hertweck, Martin Schäler, Klemens Böhm:
PrivEnergy: a Privacy Operator Framework Addressing Individual Concerns. e-Energy 2018: 426-428 - [c152]Simon Bischof, Holger Trittenbach, Michael Vollmer, Dominik Werle, Thomas Blank, Klemens Böhm:
HIPE: An Energy-Status-Data Set from Industrial Production. e-Energy 2018: 599-603 - [c151]Christine Tex, Martin Schäler, Klemens Böhm:
Distance-Based Data Mining over Encrypted Data. ICDE 2018: 1264-1267 - [c150]Natalia Arzamasova, Martin Schäler, Klemens Böhm:
Cleaning Antipatterns in an SQL Query Log. ICDE 2018: 1751-1752 - [c149]Jens Willkomm, Christoph Schmidt-Petri, Martin Schäler, Michael Schefczyk, Klemens Böhm:
A Query Algebra for Temporal Text Corpora. JCDL 2018: 183-192 - [c148]Vadim Arzamasov, Klemens Böhm, Patrick Jochem:
Towards Concise Models of Grid Stability. SmartGridComm 2018: 1-6 - [c147]Christine Tex, Martin Schäler, Klemens Böhm:
Towards meaningful distance-preserving encryption. SSDBM 2018: 2:1-2:12 - [c146]Edouard Fouché, Alexander Eckert, Klemens Böhm:
In-database analytics with ibmdbpy. SSDBM 2018: 31:1-31:4 - [i3]Holger Trittenbach, Adrian Englhardt, Klemens Böhm:
An Overview and a Benchmark of Active Learning for One-Class Classification. CoRR abs/1808.04759 (2018) - [i2]Edouard Fouché, Klemens Böhm:
Monte Carlo Dependency Estimation. CoRR abs/1810.02112 (2018) - 2017
- [j45]Pavel Efros, Erik Buchmann, Adrian Englhardt, Klemens Böhm:
How to Quantify the Impact of Lossy Transformations on Event Detection. Big Data Res. 9: 84-97 (2017) - [j44]Georg Steinbuss, Klemens Böhm:
Hiding outliers in high-dimensional data spaces. Int. J. Data Sci. Anal. 4(3): 173-189 (2017) - [j43]Gregor Hollmig, Matthias Horne, Simon Leimkühler, Frederik Schöll, Carsten Strunk, Adrian Englhardt, Pavel Efros, Erik Buchmann, Klemens Böhm:
An evaluation of combinations of lossy compression and change-detection approaches for time-series data. Inf. Syst. 65: 65-77 (2017) - [c145]Ábel Elekes, Martin Schäler, Klemens Böhm:
On the Various Semantics of Similarity in Word Embedding Models. JCDL 2017: 139-148 - 2016
- [j42]Christopher Oßner, Erik Buchmann, Klemens Böhm:
Identifying defective nodes in wireless sensor networks. Distributed Parallel Databases 34(4): 591-610 (2016) - [j41]Sanja Tanasijevic, Klemens Böhm:
Towards Effective Structure-Based Assessment of Proposals and Arguments in Online Deliberation. Int. J. Syst. Serv. Oriented Eng. 6(2): 29-52 (2016) - [j40]Richard Mrasek, Jutta A. Mülle, Klemens Böhm, Michael Becker, Christian Allmann:
Property specification, process verification, and reporting - A case study with vehicle-commissioning processes. Inf. Syst. 56: 326-346 (2016) - [c144]Karl Lorey, Erik Buchmann, Klemens Böhm:
TEAL: Transparent Encryption for the Database Abstraction Layer. CAiSE Forum 2016: 145-152 - [c143]Fabian Laforet, Erik Buchmann, Klemens Böhm:
Towards provable privacy guarantees using rechargeable energy-storage devices. e-Energy 2016: 7:1-7:14 - [c142]Andranik Khachatryan, Emmanuel Müller, Klemens Böhm, Christian Stier:
Improving accuracy and robustness of self-tuning histograms by subspace clustering. ICDE 2016: 1544-1545 - [c141]Richard Mrasek, Jutta A. Mülle, Klemens Böhm:
Process Synthesis with Sequential and Parallel Constraints. OTM Conferences 2016: 43-60 - 2015
- [j39]Hoang Vu Nguyen, Emmanuel Müller, Jilles Vreeken, Klemens Böhm:
Erratum to: Unsupervised interaction-preserving discretization of multivariate data. Data Min. Knowl. Discov. 29(1): 296-297 (2015) - [j38]Richard Mrasek, Jutta A. Mülle, Klemens Böhm:
A new verification technique for large processes based on identification of relevant tasks. Inf. Syst. 47: 82-97 (2015) - [j37]Stephan Kessler, Christoph M. Flath, Klemens Böhm:
Allocative and strategic effects of privacy enhancement in smart grids. Inf. Syst. 53: 170-181 (2015) - [j36]Fabian Laforet, Erik Buchmann, Klemens Böhm:
Individual privacy constraints on time-series data. Inf. Syst. 54: 74-91 (2015) - [j35]Erik Buchmann, Patrick Erik Bradley, Klemens Böhm:
Deriving Bounds on the Size of Spatial Areas. Open J. Databases 2(1): 1-16 (2015) - [j34]Conny Kühne, Klemens Böhm:
Protecting the Dawid-Skene algorithm against low-competence raters and collusion attacks with gold-selection strategies. Soc. Netw. Anal. Min. 5(1): 67:1-67:25 (2015) - [j33]Andranik Khachatryan, Emmanuel Müller, Christian Stier, Klemens Böhm:
Improving Accuracy and Robustness of Self-Tuning Histograms by Subspace Clustering. IEEE Trans. Knowl. Data Eng. 27(9): 2377-2389 (2015) - [j32]Frank Eichinger, Pavel Efros, Stamatis Karnouskos, Klemens Böhm:
A time-series compression technique and its application to the smart grid. VLDB J. 24(2): 193-218 (2015) - [j31]Clemens Heidinger, Klemens Böhm, Erik Buchmann, Martin Spoo:
Efficient and secure exact-match queries in outsourced databases. World Wide Web 18(3): 567-605 (2015) - [c140]Richard Mrasek, Jutta A. Mülle, Klemens Böhm:
Automatic Generation of Optimized Process Models from Declarative Specifications. CAiSE 2015: 382-397 - [c139]Yvonne Mülle, Chris Clifton, Klemens Böhm:
Privacy-Integrated Graph Clustering Through Differential Privacy. EDBT/ICDT Workshops 2015: 247-254 - [c138]Hoang Vu Nguyen, Klemens Böhm, Florian Becker, Bertrand Goldman, Georg Hinkel, Emmanuel Müller:
Identifying User Interests within the Data Space - a Case Study with SkyServer. EDBT 2015: 641-652 - [c137]Patricia Iglesias Sánchez, Emmanuel Müller, Uwe Leo Korn, Klemens Böhm, Andrea Kappes, Tanja Hartmann, Dorothea Wagner:
Efficient Algorithms for a Robust Modularity-Driven Clustering of Attributed Graphs. SDM 2015: 100-108 - [c136]Fabian Keller, Emmanuel Müller, Klemens Böhm:
Estimating mutual information on data streams. SSDBM 2015: 3:1-3:12 - [c135]Pavel Efros, Erik Buchmann, Adrian Englhardt, Klemens Böhm:
How to quantify the impact of lossy transformations on change detection. SSDBM 2015: 17:1-17:11 - [c134]Stephan Kessler, Erik Buchmann, Klemens Böhm:
Deploying and Evaluating Pufferfish Privacy for Smart Meter Data. UIC/ATC/ScalCom 2015: 229-238 - 2014
- [j30]Hoang Vu Nguyen, Emmanuel Müller, Klemens Böhm:
A Near-Linear Time Subspace Search Scheme for Unsupervised Selection of Correlated Features. Big Data Res. 1: 37-51 (2014) - [j29]Frank Eichinger, Victor Pankratius, Klemens Böhm:
Data mining for defects in multicore applications: an entropy-based call-graph technique. Concurr. Comput. Pract. Exp. 26(1): 1-20 (2014) - [j28]Hoang Vu Nguyen, Emmanuel Müller, Jilles Vreeken, Klemens Böhm:
Unsupervised interaction-preserving discretization of multivariate data. Data Min. Knowl. Discov. 28(5-6): 1366-1397 (2014) - [j27]