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 2021-11-01 to 2025-11-01.)
ArticleCitations
Finding HSP neighbors via an exact, hierarchical approach211
Automatically reconciling the trade-off between prediction accuracy and earliness in prescriptive business process monitoring181
Formalising and animating multiple instances in BPMN collaborations146
DOML: A new modeling approach to Infrastructure-as-Code121
Revisiting explicit recommendation with DC-GCN: Divide-and-Conquer Graph Convolution Network89
LILLIE: Information extraction and database integration using linguistics and learning-based algorithms66
GTT: Leveraging data characteristics for guiding the tensor train decomposition61
Bot2Vec: A general approach of intra-community oriented representation learning for bot detection in different types of social networks61
Exploring data structure alternatives in the RDB to NoSQL document store conversion process60
AMW 2019 Special Issue58
A hinge-loss based codebook transfer for cross-domain recommendation with non-overlapping data55
HCDC: A novel hierarchical clustering algorithm based on density-distance cores for data sets with varying density54
A generative and discriminative model for diversity-promoting recommendation53
Detection of spam reviews through a hierarchical attention architecture with N-gram CNN and Bi-LSTM52
KAVA-PM: Knowledge-assisted visual process mining51
Inductive link prediction via global relational semantic learning47
ADAPT: Fairness & diversity for sequential group recommendations46
Editorial Board45
An interactive approach for group-based event log exploration45
Editorial Board44
Keyword search over schema-less RDF datasets by SPARQL query compilation40
Computation of alignments of business processes through relaxation labeling and local optimal search39
Editorial Board36
Query filtering using two-dimensional local embeddings36
A data preparation framework for cleaning electronic health records and assessing cleaning outcomes for secondary analysis35
Enabling semantics-aware process mining through the automatic annotation of event logs35
Editorial35
Measuring rule-based LTLf process specifications: A probabilistic data-driven approach33
The rise of nonnegative matrix factorization: Algorithms and applications32
BINet: Multi-perspective business process anomaly classification32
GAMA: A multi-graph-based anomaly detection framework for business processes via graph neural networks32
Enabling schema-independent data retrieval queries in MongoDB30
Reinforcement learning with time intervals for temporal knowledge graph reasoning29
The convergence and interplay of edge, fog, and cloud in the AI-driven Internet of Things (IoT)29
Resource allocation in business process executions—A systematic literature study28
On the discovery of seasonal gradual patterns through periodic patterns mining28
Stochastic conformance checking based on variable-length Markov chains28
TREATS: Fairness-aware entity resolution over streaming data27
HubHSP graph: Capturing local geometrical and statistical data properties via spanning graphs27
Editorial Board27
RCELF: A residual-based approach for Influence Maximization Problem26
The role of local dimensionality measures in benchmarking nearest neighbor search26
A holistic approach for modeling and predicting bike demand25
Detecting trend deviations with generic stream processing patterns24
Advances in databases and information systems — Selected papers from ADBIS 202323
Prescriptive process monitoring based on causal effect estimation23
FDM: Effective and efficient incident detection on sparse trajectory data22
Petri net-based object-centric processes with read-only data22
An efficient approach for discovering Graph Entity Dependencies (GEDs)22
Stochastic-aware precision and recall measures for conformance checking in process mining22
Model-based trace variant analysis of event logs21
Editorial Board21
Editorial Board21
Detecting the adversarially-learned injection attacks via knowledge graphs21
Exploring data using patterns: A survey20
Editorial Board20
Adaptive personalized recommender system using learning automata and items clustering20
Efficient query evaluation techniques over large amount of distributed linked data19
Editorial Board19
Discovering hybrid process models with bounds on time and complexity19
Editorial19
Capturing end-to-end provenance for machine learning pipelines18
Cloud-Fog Assisted Energy Efficient Architectural Paradigm for Disaster Evacuation18
And synopses for all: A synopses data engine for extreme scale analytics-as-a-service18
Influence maximization based on discrete particle swarm optimization on multilayer network18
Enhancing business process simulation models with extraneous activity delays18
An improved context-aware weighted matrix factorization algorithm for point of interest recommendation in LBSN18
BPMN in healthcare: Challenges and best practices17
Sampling and approximation techniques for efficient process conformance checking17
Enterprise sellers’ satisfaction with business-to-business cross-border e-commerce platforms: Alibaba.com as an example17
PathEL: A novel collective entity linking method based on relationship paths in heterogeneous information networks17
Parameterization-free clustering with sparse data observers17
On the use of trajectory data for tackling data scarcity17
Transparent assessment of information quality of online reviews using formal argumentation theory16
Back to the Order: Partial orders in streaming conformance checking16
A high-accuracy unsupervised statistical learning method for joint dangling entity detection and entity alignment16
Exploiting explicit item–item correlations from knowledge graphs for enhanced sequential recommendation16
An Alternating Optimization Scheme for Binary Sketches16
Assessing and improving measurability of process performance indicators based on quality of logs16
Corrigendum to “Process mining meets argumentation: Explainable interpretations of low-level event logs via abstract argumentation” [Inform. Syst. 107 (2022) 101987]15
Special issue: BPM 2020 Selected Papers in Foundations and Engineering15
Advancing EHR analysis: Predictive medication modeling using LLMs15
Relationships between tail entropies and local intrinsic dimensionality and their use for estimation and feature representation15
An adaptive Laplacian weight random forest imputation for imbalance and mixed-type data15
Process Mining meets argumentation: Explainable interpretations of low-level event logs via abstract argumentation14
Temporal graph processing in modern memory hierarchies14
Taxa and super taxa of schema evolution and their relationship to activity, heartbeat and duration14
Cracking in-memory database index: A case study for Adaptive Radix Tree index14
Process mining over sensor data: Goal recognition for powered transhumeral prostheses14
A statistical method for predicting quantitative variables in association rule mining14
Editorial Board13
Generalized Ethereum Blockchain-based recommender system framework13
Training-free sparse representations of dense vectors for scalable information retrieval13
Unveiling the causes of waiting time in business processes from event logs13
A visual-semantic approach for building content-based recommender systems13
A framework for measuring the quality of business process simulation models13
Discovering partially ordered workflow models13
ECG classification with learning ensemble based on symbolic discretization13
All that glitters is not gold: Four maturity stages of process discovery algorithms13
Fast and eager k-medoids clustering: 13
An empirical evaluation of unsupervised event log abstraction techniques in process mining12
Editorial Board12
An efficient hybrid query recommendation using shingling and hashing techniques12
Stochastic process mining: Earth movers’ stochastic conformance12
Elastic scalable transaction processing in LeanXcale12
Finding meaningful paths in heterogeneous graphs with PathWays12
A taxonomy and ontology for digital platforms12
A reproducible POI recommendation framework: Works mapping and benchmark evaluation11
Process model abstraction for rapid comprehension of complex business processes11
The Open V2X Management Platform: An intelligent charging station management system11
Special issue: BPM 2018 selected papers in foundations and engineering11
Filtering with relational similarity11
Exploring computation offloading in IoT systems11
Discovering data transfer routines from user interaction logs11
A survey of sequential recommendation systems: Techniques, evaluation, and future directions11
Business process simulation: Probabilistic modeling of intermittent resource availability and multitasking behavior11
Fragments of bag relational algebra: Expressiveness and certain answers10
Quantifying and relating the completeness and diversity of process representations using species estimation10
Computation over APT compressed data10
Measuring the interestingness of temporal logic behavioral specifications in process mining10
Bayesian label distribution propagation: A semi-supervised probabilistic k10
A screenshot-based task mining framework for disclosing the drivers behind variable human actions10
Reproducible experiments with Learned Metric Index Framework10
Privacy-preserving record linkage using reference set based encoding: A single parameter method10
Editorial Board10
Editorial Board10
Blockchain technology for requirement traceability in systems engineering10
Legal Information Retrieval systems: State-of-the-art and open issues10
Pattern on demand in transactional distributed databases10
Enhancing transparency in public procurement: A data-driven analytics approach10
Adaptive search query generation and refinement in systematic literature review10
An interpretable deep fusion framework for event log repair10
Adaptive sliding window normalization10
Efficient multi-query evaluation for distributed CEP through predicate-based push–pull plans9
Achieving framed autonomy in AI-augmented business process management systems through automated planning9
Weighted top-k dominating queries on highly incomplete data9
Keeping our rivers clean: Information-theoretic online anomaly detection for streaming business process events9
Reproducible experiments on Three-Dimensional Entity Resolution with JedAI9
CoPModL: Construction Process Modeling Language and Satisfiability Checking9
A large reproducible benchmark on text classification for the legal domain based on the ECHR-OD repository9
Secure multi-dimensional data retrieval with access control and range query in the cloud9
Real-world K-Anonymity applications: The KGen approach and its evaluation in fraudulent transactions9
A survey on the use of blockchains to achieve supply chain security8
Special issue on verification, control, and repair in business process management8
“Managing, Mining and Learning in the Legal Data Domain”8
Conformance checking of partially matching processes: An entropy-based approach8
Predicting information diffusion via deep temporal convolutional networks8
Novel diversified echo state network for improved accuracy and explainability of EEG-based stroke prediction8
Relational schema optimization for RDF-based knowledge graphs8
Editorial Board8
Collaborative knowledge-aware recommendation based on neighborhood negative sampling8
Class Representatives Selection in non-metric spaces for nearest prototype classification8
Context-aware automated ICD coding: A semantic-driven approach8
Federated conformance checking8
A hierarchical transformer-based network for multivariate time series classification8
Simple querying service for OpenAPI descriptions with semantic extensions8
Is text preprocessing still worth the time? A comparative survey on the influence of popular preprocessing methods on Transformers and traditional classifiers8
Process discovery with context-aware process trees8
Editorial Board8
Reduction of data-value-aware process models: A relevance-based approach7
A hybrid recommendation algorithm based on user comment sentiment and matrix decomposition7
Towards interactive event log forensics: Detecting and quantifying timestamp imperfections7
Best practices of testing database manipulation code7
A detection method for hybrid attacks in recommender systems7
Corrigendum to “BPMN 2.0 OR-Join Semantics: Global and local characterisation” [Information Systems 105 (2022), 101934]7
Data augmentation via context similarity: An application to biomedical Named Entity Recognition7
Natural language querying of process execution data7
Discovery, simulation, and optimization of business processes with differentiated resources7
A framework for modeling, executing, and monitoring hybrid multi-process specifications with bounded global–local memory7
When GDD meets GNN: A knowledge-driven neural connection for effective entity resolution in property graphs7
From action to response to effect: Mining statistical relations in work processes7
Exploiting GPUs for fast intersection of large sets7
Root-cause analysis of business processes: How humans utilize multiple sources of information to explain observations7
Query-centric regression7
Natural language-based detection of semantic execution anomalies in event logs7
Explaining results of path queries on graphs: Single-path results for context-free path queries7
Process Query Language: Design, Implementation, and Evaluation6
Adoption of IT solutions: A data-driven analysis approach6
An inter-modal attention-based deep learning framework using unified modality for multimodal fake news, hate speech and offensive language detection6
Repairing raw metadata for metadata management6
Exploiting label semantics for rule-based activity recommendation in business process modeling6
STracker: A framework for identifying sentiment changes in customer feedbacks6
Proactive conformance checking: An approach for predicting deviations in business processes6
Box queries over multi-dimensional streams6
Tri-AL: An open source platform for visualization and analysis of clinical trials6
The GDPR enforcement fines at glance6
Online correlation for unlabeled process events: A flexible CEP-based approach6
Data Lakehouse: A survey and experimental study6
MBDL: Exploring dynamic dependency among various types of behaviors for recommendation6
A study into the contingencies of process improvement methods6
Centrality measures in fuzzy social networks6
Editorial Board5
Hate speech detection is not as easy as you may think: A closer look at model validation (extended version)5
Read-safe snapshots: An abort/wait-free serializable read method for read-only transactions on mixed OLTP/OLAP workloads5
Data variety, come as you are in multi-model data warehouses5
ExamGuard: Smart contracts for secure online test5
Using AI explainable models and handwriting/drawing tasks for psychological well-being5
An incremental algorithm for repairing denial constraint violations5
A foundation for spatio-textual-temporal cube analytics5
Compressing generalized trajectories of molecular motion for efficient detection of chemical interactions5
Effective data exploration through clustering of local attributive explanations5
Special Issue: Best Papers of the BPM 2023 Conference5
Editorial Board5
Semantics-aware mechanisms for control-flow anonymization in process mining5
Temporal representation and reasoning in data-intensive systems5
Storing data once in M-trees and PM-trees: Revisiting the building principles of metric access methods5
Everything at the proper time: Repairing identical timestamp errors in event logs with Generative Adversarial Networks5
Special issue: BPM 2022 Selected papers in Foundations and Engineering5
Special issue: Selected papers of ICPM 20195
Towards the efficient discovery of meaningful functional dependencies5
Process-driven design of cloud data platforms5
Two-level massive string dictionaries5
Incremental checking of SQL assertions in an RDBMS4
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
Detecting inorganic financial campaigns on Twitter4
Emerging industry classification based on BERT model4
Medoid Silhouette clustering with automatic cluster number selection4
A meta-learning configuration framework for graph-based similarity search indexes4
Approximate conformance checking: Fast computation of multi-perspective, probabilistic alignments4
Editorial Board4
Transactions across serverless functions leveraging stateful dataflows4
BR4DQ: A methodology for grouping business rules for data quality evaluation4
Exploiting co-occurrence networks for classification of implicit inter-relationships in legal texts4
DeepMatch2: A comprehensive deep learning-based approach for in-vehicle presence detection4
Assured automatic dynamic reconfiguration of business processes4
Learning to resolve inconsistencies in qualitative constraint networks4
VOOL: A modular insight-based framework for vocalizing OLAP sessions4
Assessing the value of ontologically unpacking a conceptual model for human genomics4
The Partition Bridge (PB) tree: Efficient nearest neighbor query processing on road networks4
Foundations and practice of binary process discovery4
A survey for managing temporal data in RDF4
Unsupervised and semi-supervised clustering via density and distance-based label propagation and assignment4
StyleBERT: Text-audio sentiment analysis with Bi-directional Style Enhancement4
Editorial Note to the special issue of the Information Systems journal on Web Engineering with selected papers from ICWE 2021 conference4
Trends in Design, Optimization, Languages, and Analytical Processing of Big Data (DOLAP 2020)4
Recognizing task-level events from user interaction data3
Skyline recomputation in Big Data3
Conformance Checking in Process Mining3
SuperGuardian: Superspreader removal for cardinality estimation in data streaming3
Semi-supervised and un-supervised clustering: A review and experimental evaluation3
Enhancing Entity Resolution with a hybrid Active Machine Learning framework: Strategies for optimal learning in sparse datasets3
X-Processes: Process model discovery with the best balance among fitness, precision, simplicity, and generalization through a genetic algorithm3
DB+-tree: A new 3
AI-based decision support system for public procurement3
Data-driven prescriptive analytics applications: A comprehensive survey3
Editorial Board3
Schema mapping generation in the wild3
Attention-based multi attribute matrix factorization for enhanced recommendation performance3
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