Information Systems

Papers
(The median citation count of Information Systems is 3. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-08-01 to 2025-08-01.)
ArticleCitations
A generative and discriminative model for diversity-promoting recommendation194
AMW 2019 Special Issue152
Revisiting explicit recommendation with DC-GCN: Divide-and-Conquer Graph Convolution Network132
Finding HSP neighbors via an exact, hierarchical approach110
HCDC: A novel hierarchical clustering algorithm based on density-distance cores for data sets with varying density82
GTT: Leveraging data characteristics for guiding the tensor train decomposition64
Exploring data structure alternatives in the RDB to NoSQL document store conversion process64
DOML: A new modeling approach to Infrastructure-as-Code54
LILLIE: Information extraction and database integration using linguistics and learning-based algorithms53
Bot2Vec: A general approach of intra-community oriented representation learning for bot detection in different types of social networks52
A hinge-loss based codebook transfer for cross-domain recommendation with non-overlapping data49
Automatically reconciling the trade-off between prediction accuracy and earliness in prescriptive business process monitoring49
Detection of spam reviews through a hierarchical attention architecture with N-gram CNN and Bi-LSTM47
Formalising and animating multiple instances in BPMN collaborations46
Editorial Board44
Keyword search over schema-less RDF datasets by SPARQL query compilation42
Enabling schema-independent data retrieval queries in MongoDB41
Measuring rule-based LTLf process specifications: A probabilistic data-driven approach40
Enabling semantics-aware process mining through the automatic annotation of event logs38
BINet: Multi-perspective business process anomaly classification38
Inductive link prediction via global relational semantic learning36
Editorial Board33
Editorial33
Computation of alignments of business processes through relaxation labeling and local optimal search32
The rise of nonnegative matrix factorization: Algorithms and applications32
GAMA: A multi-graph-based anomaly detection framework for business processes via graph neural networks30
ADAPT: Fairness & diversity for sequential group recommendations29
The convergence and interplay of edge, fog, and cloud in the AI-driven Internet of Things (IoT)29
Query filtering using two-dimensional local embeddings29
Reinforcement learning with time intervals for temporal knowledge graph reasoning29
A data preparation framework for cleaning electronic health records and assessing cleaning outcomes for secondary analysis28
Prescriptive process monitoring based on causal effect estimation27
Detecting trend deviations with generic stream processing patterns27
RCELF: A residual-based approach for Influence Maximization Problem26
HubHSP graph: Capturing local geometrical and statistical data properties via spanning graphs26
TREATS: Fairness-aware entity resolution over streaming data26
Editorial Board25
Resource allocation in business process executions—A systematic literature study24
On the discovery of seasonal gradual patterns through periodic patterns mining24
Stochastic conformance checking based on variable-length Markov chains23
The role of local dimensionality measures in benchmarking nearest neighbor search23
Trajectory data management: A data model and predicate logic with operators for spatio-temporal query processing22
A holistic approach for modeling and predicting bike demand22
Editorial Board21
Editorial21
Editorial Board21
Editorial Board21
Model-based trace variant analysis of event logs20
Advances in databases and information systems — Selected papers from ADBIS 202320
And synopses for all: A synopses data engine for extreme scale analytics-as-a-service20
Exploring data using patterns: A survey19
Capturing end-to-end provenance for machine learning pipelines19
Influence maximization based on discrete particle swarm optimization on multilayer network19
BPMN in healthcare: Challenges and best practices19
Efficient query evaluation techniques over large amount of distributed linked data18
Discovering hybrid process models with bounds on time and complexity18
Cloud-Fog Assisted Energy Efficient Architectural Paradigm for Disaster Evacuation18
Detecting the adversarially-learned injection attacks via knowledge graphs18
An efficient approach for discovering Graph Entity Dependencies (GEDs)18
Adaptive personalized recommender system using learning automata and items clustering17
Enterprise sellers’ satisfaction with business-to-business cross-border e-commerce platforms: Alibaba.com as an example17
Stochastic-aware precision and recall measures for conformance checking in process mining17
FDM: Effective and efficient incident detection on sparse trajectory data17
Enhancing business process simulation models with extraneous activity delays16
PathEL: A novel collective entity linking method based on relationship paths in heterogeneous information networks16
Parameterization-free clustering with sparse data observers16
An improved context-aware weighted matrix factorization algorithm for point of interest recommendation in LBSN16
Petri net-based object-centric processes with read-only data16
Editorial Board16
Special issue: BPM 2020 Selected Papers in Foundations and Engineering16
Advancing EHR analysis: Predictive medication modeling using LLMs15
On the use of trajectory data for tackling data scarcity15
Corrigendum to “Process mining meets argumentation: Explainable interpretations of low-level event logs via abstract argumentation” [Inform. Syst. 107 (2022) 101987]15
Transparent assessment of information quality of online reviews using formal argumentation theory15
Sampling and approximation techniques for efficient process conformance checking15
Relationships between tail entropies and local intrinsic dimensionality and their use for estimation and feature representation15
Exploiting explicit item–item correlations from knowledge graphs for enhanced sequential recommendation15
A high-accuracy unsupervised statistical learning method for joint dangling entity detection and entity alignment14
Temporal graph processing in modern memory hierarchies14
Editorial Board14
An adaptive Laplacian weight random forest imputation for imbalance and mixed-type data14
Process Mining meets argumentation: Explainable interpretations of low-level event logs via abstract argumentation14
An Alternating Optimization Scheme for Binary Sketches14
Cracking in-memory database index: A case study for Adaptive Radix Tree index14
Assessing and improving measurability of process performance indicators based on quality of logs14
Back to the Order: Partial orders in streaming conformance checking14
Process mining over sensor data: Goal recognition for powered transhumeral prostheses13
ECG classification with learning ensemble based on symbolic discretization13
A framework for measuring the quality of business process simulation models13
Taxa and super taxa of schema evolution and their relationship to activity, heartbeat and duration13
An efficient hybrid query recommendation using shingling and hashing techniques12
Unveiling the causes of waiting time in business processes from event logs12
A statistical method for predicting quantitative variables in association rule mining12
Discovering partially ordered workflow models12
Generalized Ethereum Blockchain-based recommender system framework12
Elastic scalable transaction processing in LeanXcale12
A visual-semantic approach for building content-based recommender systems12
Fast and eager k-medoids clustering: 12
All that glitters is not gold: Four maturity stages of process discovery algorithms12
Finding meaningful paths in heterogeneous graphs with PathWays11
Stochastic process mining: Earth movers’ stochastic conformance11
A taxonomy and ontology for digital platforms11
Editorial Board11
On the evaluation and optimization of LabeledPAM11
An empirical evaluation of unsupervised event log abstraction techniques in process mining11
Process model abstraction for rapid comprehension of complex business processes11
Special issue: BPM 2018 selected papers in foundations and engineering11
Training-free sparse representations of dense vectors for scalable information retrieval11
Exploring computation offloading in IoT systems10
Reproducible experiments with Learned Metric Index Framework10
The Open V2X Management Platform: An intelligent charging station management system10
A survey of sequential recommendation systems: Techniques, evaluation, and future directions10
Discovering data transfer routines from user interaction logs10
Editorial Board10
Pattern on demand in transactional distributed databases10
A reproducible POI recommendation framework: Works mapping and benchmark evaluation10
Filtering with relational similarity10
Measuring the interestingness of temporal logic behavioral specifications in process mining10
Legal Information Retrieval systems: State-of-the-art and open issues9
Bayesian label distribution propagation: A semi-supervised probabilistic k9
Adaptive search query generation and refinement in systematic literature review9
Business process simulation: Probabilistic modeling of intermittent resource availability and multitasking behavior9
Quantifying and relating the completeness and diversity of process representations using species estimation9
Efficient multi-query evaluation for distributed CEP through predicate-based push–pull plans9
Keeping our rivers clean: Information-theoretic online anomaly detection for streaming business process events9
Enhancing transparency in public procurement: A data-driven analytics approach9
Privacy-preserving record linkage using reference set based encoding: A single parameter method9
Blockchain technology for requirement traceability in systems engineering9
Editorial Board9
Computation over APT compressed data9
Fragments of bag relational algebra: Expressiveness and certain answers9
An interpretable deep fusion framework for event log repair8
A screenshot-based task mining framework for disclosing the drivers behind variable human actions8
Collaborative knowledge-aware recommendation based on neighborhood negative sampling8
Weighted top-k dominating queries on highly incomplete data8
Comparison of machine learning classifiers: A case study of temperature alarms in a pharmaceutical supply chain8
Adaptive sliding window normalization8
“Managing, Mining and Learning in the Legal Data Domain”8
Editorial Board8
A large reproducible benchmark on text classification for the legal domain based on the ECHR-OD repository8
CoPModL: Construction Process Modeling Language and Satisfiability Checking8
Real-world K-Anonymity applications: The KGen approach and its evaluation in fraudulent transactions8
Simple querying service for OpenAPI descriptions with semantic extensions7
Editorial Board7
Process discovery with context-aware process trees7
Class Representatives Selection in non-metric spaces for nearest prototype classification7
Natural language-based detection of semantic execution anomalies in event logs7
Reproducible experiments on Three-Dimensional Entity Resolution with JedAI7
Is text preprocessing still worth the time? A comparative survey on the influence of popular preprocessing methods on Transformers and traditional classifiers7
Achieving framed autonomy in AI-augmented business process management systems through automated planning7
Editorial Board7
When GDD meets GNN: A knowledge-driven neural connection for effective entity resolution in property graphs7
Discovery, simulation, and optimization of business processes with differentiated resources7
Towards interactive event log forensics: Detecting and quantifying timestamp imperfections7
A hierarchical transformer-based network for multivariate time series classification7
A survey on the use of blockchains to achieve supply chain security7
Federated conformance checking7
Query-centric regression7
Context-aware automated ICD coding: A semantic-driven approach7
Best practices of testing database manipulation code7
A framework for modeling, executing, and monitoring hybrid multi-process specifications with bounded global–local memory7
Secure multi-dimensional data retrieval with access control and range query in the cloud7
Relational schema optimization for RDF-based knowledge graphs7
Novel diversified echo state network for improved accuracy and explainability of EEG-based stroke prediction6
Exploiting GPUs for fast intersection of large sets6
Reduction of data-value-aware process models: A relevance-based approach6
STracker: A framework for identifying sentiment changes in customer feedbacks6
A detection method for hybrid attacks in recommender systems6
Predicting information diffusion via deep temporal convolutional networks6
Natural language querying of process execution data6
Data augmentation via context similarity: An application to biomedical Named Entity Recognition6
Adoption of IT solutions: A data-driven analysis approach6
Explaining results of path queries on graphs: Single-path results for context-free path queries6
Conformance checking of partially matching processes: An entropy-based approach6
From action to response to effect: Mining statistical relations in work processes6
Corrigendum to “BPMN 2.0 OR-Join Semantics: Global and local characterisation” [Information Systems 105 (2022), 101934]6
A hybrid recommendation algorithm based on user comment sentiment and matrix decomposition6
Two-level massive string dictionaries5
MBDL: Exploring dynamic dependency among various types of behaviors for recommendation5
Data Lakehouse: A survey and experimental study5
The GDPR enforcement fines at glance5
Repairing raw metadata for metadata management5
An incremental algorithm for repairing denial constraint violations5
Centrality measures in fuzzy social networks5
Exploiting label semantics for rule-based activity recommendation in business process modeling5
Tri-AL: An open source platform for visualization and analysis of clinical trials5
Proactive conformance checking: An approach for predicting deviations in business processes5
An inter-modal attention-based deep learning framework using unified modality for multimodal fake news, hate speech and offensive language detection5
Editorial Board5
Effective data exploration through clustering of local attributive explanations5
Online correlation for unlabeled process events: A flexible CEP-based approach5
Process Query Language: Design, Implementation, and Evaluation5
Box queries over multi-dimensional streams5
A study into the contingencies of process improvement methods5
Storing data once in M-trees and PM-trees: Revisiting the building principles of metric access methods5
Read-safe snapshots: An abort/wait-free serializable read method for read-only transactions on mixed OLTP/OLAP workloads4
Editorial Board4
Reuse-centric k-means configuration4
VOOL: A modular insight-based framework for vocalizing OLAP sessions4
Foundations and practice of binary process discovery4
Editorial Board4
Data variety, come as you are in multi-model data warehouses4
Semantics-aware mechanisms for control-flow anonymization in process mining4
Compressing generalized trajectories of molecular motion for efficient detection of chemical interactions4
Special issue: Selected papers of ICPM 20194
Towards the efficient discovery of meaningful functional dependencies4
SheetReader: Efficient Specialized Spreadsheet Parsing4
Full-text search engine with suffix index for massive heterogeneous data4
Trace selection and allocation for log-move audit of business process directly-follows graphs4
ExamGuard: Smart contracts for secure online test4
Hate speech detection is not as easy as you may think: A closer look at model validation (extended version)4
A foundation for spatio-textual-temporal cube analytics4
Process-driven design of cloud data platforms4
Special Issue: Best Papers of the BPM 2023 Conference4
Using AI explainable models and handwriting/drawing tasks for psychological well-being4
Approximate conformance checking: Fast computation of multi-perspective, probabilistic alignments4
The Partition Bridge (PB) tree: Efficient nearest neighbor query processing on road networks4
Special issue: BPM 2022 Selected papers in Foundations and Engineering4
Temporal representation and reasoning in data-intensive systems4
Everything at the proper time: Repairing identical timestamp errors in event logs with Generative Adversarial Networks4
A meta-learning configuration framework for graph-based similarity search indexes3
Incremental checking of SQL assertions in an RDBMS3
Assessing the value of ontologically unpacking a conceptual model for human genomics3
Detecting inorganic financial campaigns on Twitter3
Emerging industry classification based on BERT model3
Hiding in the forest: Privacy-preserving process performance indicators3
Exploring modified areas for updating influential nodes3
Verifying compliance in process choreographies: Foundations, algorithms, and implementation3
Trends in Design, Optimization, Languages, and Analytical Processing of Big Data (DOLAP 2020)3
Editorial Note to the special issue of the Information Systems journal on Web Engineering with selected papers from ICWE 2021 conference3
Exploiting co-occurrence networks for classification of implicit inter-relationships in legal texts3
BR4DQ: A methodology for grouping business rules for data quality evaluation3
Medoid Silhouette clustering with automatic cluster number selection3
StyleBERT: Text-audio sentiment analysis with Bi-directional Style Enhancement3
Query by documents on top of a search interface3
Stream-aware indexing for distributed inequality join processing3
Skyline recomputation in Big Data3
DeepMatch2: A comprehensive deep learning-based approach for in-vehicle presence detection3
Transactions across serverless functions leveraging stateful dataflows3
A survey for managing temporal data in RDF3
Assured automatic dynamic reconfiguration of business processes3
X-Processes: Process model discovery with the best balance among fitness, precision, simplicity, and generalization through a genetic algorithm3
Accelerating large-scale weighted similarity queries based on external storage3
Learning to resolve inconsistencies in qualitative constraint networks3
A split–merge clustering algorithm based on the k-nearest neighbor graph3
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