Information Systems

Papers
(The TQCC of Information Systems is 10. 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
Bot2Vec: A general approach of intra-community oriented representation learning for bot detection in different types of social networks61
GTT: Leveraging data characteristics for guiding the tensor train decomposition61
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
An interactive approach for group-based event log exploration45
Editorial Board45
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
Editorial35
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
Measuring rule-based LTLf process specifications: A probabilistic data-driven approach33
GAMA: A multi-graph-based anomaly detection framework for business processes via graph neural networks32
The rise of nonnegative matrix factorization: Algorithms and applications32
BINet: Multi-perspective business process anomaly classification32
Enabling schema-independent data retrieval queries in MongoDB30
The convergence and interplay of edge, fog, and cloud in the AI-driven Internet of Things (IoT)29
Reinforcement learning with time intervals for temporal knowledge graph reasoning29
Stochastic conformance checking based on variable-length Markov chains28
Resource allocation in business process executions—A systematic literature study28
On the discovery of seasonal gradual patterns through periodic patterns mining28
Editorial Board27
TREATS: Fairness-aware entity resolution over streaming data27
HubHSP graph: Capturing local geometrical and statistical data properties via spanning graphs27
The role of local dimensionality measures in benchmarking nearest neighbor search26
RCELF: A residual-based approach for Influence Maximization Problem26
A holistic approach for modeling and predicting bike demand25
Detecting trend deviations with generic stream processing patterns24
Prescriptive process monitoring based on causal effect estimation23
Advances in databases and information systems — Selected papers from ADBIS 202323
Stochastic-aware precision and recall measures for conformance checking in process mining22
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
Editorial Board21
Detecting the adversarially-learned injection attacks via knowledge graphs21
Model-based trace variant analysis of event logs21
Editorial Board21
Adaptive personalized recommender system using learning automata and items clustering20
Exploring data using patterns: A survey20
Editorial Board20
Efficient query evaluation techniques over large amount of distributed linked data19
Editorial Board19
Discovering hybrid process models with bounds on time and complexity19
Editorial19
Enhancing business process simulation models with extraneous activity delays18
An improved context-aware weighted matrix factorization algorithm for point of interest recommendation in LBSN18
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
Parameterization-free clustering with sparse data observers17
On the use of trajectory data for tackling data scarcity17
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
An Alternating Optimization Scheme for Binary Sketches16
Assessing and improving measurability of process performance indicators based on quality of logs16
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
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
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
Taxa and super taxa of schema evolution and their relationship to activity, heartbeat and duration14
Process mining over sensor data: Goal recognition for powered transhumeral prostheses14
Process Mining meets argumentation: Explainable interpretations of low-level event logs via abstract argumentation14
Temporal graph processing in modern memory hierarchies14
A statistical method for predicting quantitative variables in association rule mining14
Cracking in-memory database index: A case study for Adaptive Radix Tree index14
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
Editorial Board13
Generalized Ethereum Blockchain-based recommender system framework13
Training-free sparse representations of dense vectors for scalable information retrieval13
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
An empirical evaluation of unsupervised event log abstraction techniques in process mining12
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
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
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
0.1721248626709