Information Systems

Papers
(The TQCC of Information Systems is 9. 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 2022-08-01 to 2026-08-01.)
ArticleCitations
GTT: Leveraging data characteristics for guiding the tensor train decomposition268
DOML: A new modeling approach to Infrastructure-as-Code172
Reflection on community-diversified influence maximization in social networks122
Finding HSP neighbors via an exact, hierarchical approach84
Revisiting explicit recommendation with DC-GCN: Divide-and-Conquer Graph Convolution Network83
KAVA-PM: Knowledge-assisted visual process mining77
A generative and discriminative model for diversity-promoting recommendation66
Assessing reproducibility in screenshot-based task mining: A decision discovery perspective61
HCDC: A novel hierarchical clustering algorithm based on density-distance cores for data sets with varying density57
The effects of database normalization on decision support system performance47
Automatically reconciling the trade-off between prediction accuracy and earliness in prescriptive business process monitoring46
Validating temporal compliance patterns: A unified approach with 43
Reinforcement learning with time intervals for temporal knowledge graph reasoning41
Enabling schema-independent data retrieval queries in MongoDB41
Density based learned spatial index for clustered data40
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Measuring rule-based LTLf process specifications: A probabilistic data-driven approach33
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An interactive approach for group-based event log exploration30
GlintLM: Graph-Layered Integration with Nodal Topology with Language Models — A Bipartite Approach to Question Answering30
ADAPT: Fairness & diversity for sequential group recommendations27
A data preparation framework for cleaning electronic health records and assessing cleaning outcomes for secondary analysis27
GAMA: A multi-graph-based anomaly detection framework for business processes via graph neural networks26
Implementing a declarative query language for high level machine learning application design26
The rise of nonnegative matrix factorization: Algorithms and applications26
Resource allocation in business process executions—A systematic literature study26
Enabling semantics-aware process mining through the automatic annotation of event logs26
Inductive link prediction via global relational semantic learning26
Prescriptive process monitoring based on causal effect estimation25
Editorial Board24
Temporal relational algebras supporting preferences in temporal relational databases: Definition, properties and evaluation23
A holistic approach for modeling and predicting bike demand22
HubHSP graph: Capturing local geometrical and statistical data properties via spanning graphs22
On the discovery of seasonal gradual patterns through periodic patterns mining21
Multi-source data outlier detection based on secure multi-party computation21
TREATS: Fairness-aware entity resolution over streaming data20
Detecting the adversarially-learned injection attacks via knowledge graphs20
Stochastic conformance checking based on variable-length Markov chains20
A framework for steady-state detection in process mining20
Trajectory data management: A data model and predicate logic with operators for spatio-temporal query processing20
Advances in databases and information systems — Selected papers from ADBIS 202320
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Discovering hybrid process models with bounds on time and complexity19
Exploring data using patterns: A survey19
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And synopses for all: A synopses data engine for extreme scale analytics-as-a-service18
Parameterization-free clustering with sparse data observers18
An efficient approach for discovering Graph Entity Dependencies (GEDs)18
Enterprise sellers’ satisfaction with business-to-business cross-border e-commerce platforms: Alibaba.com as an example17
A comprehensive scalable framework for cloud-native pattern detection with enhanced expressiveness17
An improved context-aware weighted matrix factorization algorithm for point of interest recommendation in LBSN17
Efficient query evaluation techniques over large amount of distributed linked data17
Stochastic-aware precision and recall measures for conformance checking in process mining17
Enhancing business process simulation models with extraneous activity delays16
Capturing end-to-end provenance for machine learning pipelines16
On the use of trajectory data for tackling data scarcity16
Influence maximization based on discrete particle swarm optimization on multilayer network16
A high-accuracy unsupervised statistical learning method for joint dangling entity detection and entity alignment16
FDM: Effective and efficient incident detection on sparse trajectory data16
Corrigendum to “Process mining meets argumentation: Explainable interpretations of low-level event logs via abstract argumentation” [Inform. Syst. 107 (2022) 101987]16
An Alternating Optimization Scheme for Binary Sketches16
Estimating the compressibility of raster data15
Nine years later: Reflecting on our article15
Exploiting explicit item–item correlations from knowledge graphs for enhanced sequential recommendation15
Editorial Board15
PathEL: A novel collective entity linking method based on relationship paths in heterogeneous information networks15
Transparent assessment of information quality of online reviews using formal argumentation theory14
Relationships between tail entropies and local intrinsic dimensionality and their use for estimation and feature representation14
Back to the Order: Partial orders in streaming conformance checking14
Advancing EHR analysis: Predictive medication modeling using LLMs14
Special issue: BPM 2020 Selected Papers in Foundations and Engineering14
Diffusion-based minority augmentation and confidence-calibrated tabular learning for imbalanced rare-event classification14
An adaptive Laplacian weight random forest imputation for imbalance and mixed-type data14
ECG classification with learning ensemble based on symbolic discretization13
A statistical method for predicting quantitative variables in association rule mining13
Editorial Board13
Enhancing urban data exploration: Layer Toggling and Visibility-Preserving Lenses for multi-attribute spatial analysis12
A framework for measuring the quality of business process simulation models12
Taxa and super taxa of schema evolution and their relationship to activity, heartbeat and duration12
A visual-semantic approach for building content-based recommender systems12
Process mining over sensor data: Goal recognition for powered transhumeral prostheses12
Unveiling the causes of waiting time in business processes from event logs12
Generalized Ethereum Blockchain-based recommender system framework12
Temporal graph processing in modern memory hierarchies12
Elastic scalable transaction processing in LeanXcale11
An empirical evaluation of unsupervised event log abstraction techniques in process mining11
On the evaluation and optimization of LabeledPAM11
Training-free sparse representations of dense vectors for scalable information retrieval11
SOLID-M: An ontology-aware quality framework for conceptual models discovered from event data11
All that glitters is not gold: Four maturity stages of process discovery algorithms11
Computation over APT compressed data10
A reproducible POI recommendation framework: Works mapping and benchmark evaluation10
Discovering partially ordered workflow models10
Finding meaningful paths in heterogeneous graphs with PathWays10
Reproducible experiments with Learned Metric Index Framework10
Enhancing transparency in public procurement: A data-driven analytics approach10
GPT-5 and open-weight large language models: Advances in reasoning, transparency, and control10
Dynamic group recommender methodology: Leveraging temporal trust and confidence graphs10
A taxonomy and ontology for digital platforms10
SaaMS: The synopses-as-a-microservice paradigm for scalable adaptive streaming analytics across the cloud to edge continuum10
Agentic Business Process Management: A research manifesto10
Reflection on the convergence and interplay of edge, fog, and cloud in the AI-driven Internet of Things (IoT)10
A survey of sequential recommendation systems: Techniques, evaluation, and future directions10
Retrospective Special Issue: Information Systems 50th anniversary10
Editorial Board10
CIC-YNU-IoTMal: A comprehensive multilayer dataset for static and dynamic analysis of IoT malware behavior10
Example-driven semantic-similarity-aware query intent discovery: Empowering users to cross the SQL barrier through query by example9
Quantifying and relating the completeness and diversity of process representations using species estimation9
Filtering with relational similarity9
Privacy-preserving record linkage using reference set based encoding: A single parameter method9
The Open V2X Management Platform: An intelligent charging station management system9
Adaptive search query generation and refinement in systematic literature review9
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