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 2020-11-01 to 2024-11-01.)
ArticleCitations
A review of topic modeling methods316
The convergence and interplay of edge, fog, and cloud in the AI-driven Internet of Things (IoT)129
Blockchain and e-government innovation: Automation of public information processes85
Fast and eager k-medoids clustering: 79
Sports analytics — Evaluation of basketball players and team performance77
Topic modeling algorithms and applications: A survey70
Applying Reinforcement Learning towards automating energy efficient virtual machine consolidation in cloud data centers60
The FORA Fog Computing Platform for Industrial IoT51
Multi-label Arabic text classification in Online Social Networks50
Stochastic process mining: Earth movers’ stochastic conformance45
Detection of spam reviews through a hierarchical attention architecture with N-gram CNN and Bi-LSTM39
Novel predictive model to improve the accuracy of collaborative filtering recommender systems39
BINet: Multi-perspective business process anomaly classification39
Multi-label legal document classification: A deep learning-based approach with label-attention and domain-specific pre-training35
Three-dimensional Entity Resolution with JedAI34
BPMN in healthcare: Challenges and best practices33
Processing tweets for cybersecurity threat awareness32
On the appropriateness of Platt scaling in classifier calibration31
A Data Science approach analysing the Impact of Injuries on Basketball Player and Team Performance31
A unified metamodel for NoSQL and relational databases31
Controlled flexibility in blockchain-based collaborative business processes30
Electronic health records based reinforcement learning for treatment optimizing30
CryptDICE: Distributed data protection system for secure cloud data storage and computation29
Bot2Vec: A general approach of intra-community oriented representation learning for bot detection in different types of social networks29
Legal Information Retrieval systems: State-of-the-art and open issues29
A survey on graph-based methods for similarity searches in metric spaces29
A knowledge-intensive adaptive business process management framework29
Data quality challenges in large-scale cyber-physical systems: A systematic review27
Semi-supervised and un-supervised clustering: A review and experimental evaluation25
Optimizing Semantic Deep Forest for tweet topic classification25
Conformance checking over uncertain event data23
Points of Interest recommendations: Methods, evaluation, and future directions21
Hate speech detection is not as easy as you may think: A closer look at model validation (extended version)21
Petri net-based object-centric processes with read-only data21
Enabling runtime flexibility in data-centric and data-driven process execution engines21
Decentralized data access control over consortium blockchains21
Using agile methodologies for adopting COBIT20
Explainable concept drift in process mining20
Detection of batch activities from event logs20
Automatic ensemble feature selection using fast non-dominated sorting20
BETULA: Fast clustering of large data with improved BIRCH CF-Trees20
Defining blockchain governance principles: A comprehensive framework19
Graph integration of structured, semistructured and unstructured data for data journalism19
A real-time deep-learning approach for filtering Arabic low-quality content and accounts on Twitter18
Vadalog: A modern architecture for automated reasoning with large knowledge graphs18
Eras: Improving the quality control in the annotation process for Natural Language Processing tasks18
Quantifying chatbots’ ability to learn business processes18
Conformance checking of mixed-paradigm process models17
A study into the contingencies of process improvement methods17
Blockchain-based Privacy-Preserving Record Linkage: enhancing data privacy in an untrusted environment16
Knowledge-guided unsupervised rhetorical parsing for text summarization16
Cause vs. effect in context-sensitive prediction of business process instances16
Caught in a networked collusion? Homogeneity in conspiracy-related discussion networks on YouTube15
Mining association rules from COVID-19 related twitter data to discover word patterns, topics and inferences15
Characterizing client usage patterns and service demand for car-sharing systems15
Bilateral knowledge graph enhanced online course recommendation15
Towards defining data interpretability in open data portals: Challenges and research opportunities15
Continuous outlier mining of streaming data in flink15
Privacy-preserving location data stream clustering on mobile edge computing and cloud15
Deep reinforcement learning based ensemble model for rumor tracking15
An adaptive Laplacian weight random forest imputation for imbalance and mixed-type data15
Service contract modeling in Enterprise Architecture: An ontology-based approach15
Exploiting semantic relationships for unsupervised expansion of sentiment lexicons15
Data variety, come as you are in multi-model data warehouses14
The GDPR enforcement fines at glance14
OILog: An online incremental log keyword extraction approach based on MDP-LSTM neural network14
Rating prediction based on combination of review mining and user preference analysis14
Comparison of machine learning classifiers: A case study of temperature alarms in a pharmaceutical supply chain14
Multi-objective optimization with recommender systems: A systematic review14
Learned Metric Index — Proposition of learned indexing for unstructured data14
Aligning social concerns with information system security: A fundamental ontology for social engineering13
Formalising and animating multiple instances in BPMN collaborations13
Towards holistic Entity Linking: Survey and directions13
Hierarchical clustering that takes advantage of both density-peak and density-connectivity12
Natural language-based detection of semantic execution anomalies in event logs12
Towards retrieval-based conversational recommendation12
Exploring computation offloading in IoT systems12
Business process and rule integration approaches—An empirical analysis of model understanding11
Exploiting co-occurrence networks for classification of implicit inter-relationships in legal texts11
A quantitative approach for the comparison of additive local explanation methods11
A review on missing values for main challenges and methods11
A large reproducible benchmark of ontology-based methods and word embeddings for word similarity11
Scalable alignment of process models and event logs: An approach based on automata and S-components11
DMAKit: A user-friendly web platform for bringing state-of-the-art data analysis techniques to non-specific users11
Orientation and conformance: A HMM-based approach to online conformance checking11
Comprehending 3D and 4D ontology-driven conceptual models: An empirical study11
Lynx: A knowledge-based AI service platform for content processing, enrichment and analysis for the legal domain11
A knowledge-centered framework for exploration and retrieval of legal documents10
On the composition of the long tail of business processes: Implications from a process mining study10
A data preparation framework for cleaning electronic health records and assessing cleaning outcomes for secondary analysis10
Sampling and approximation techniques for efficient process conformance checking10
Formal foundations for responsible application integration10
Predicting information diffusion via deep temporal convolutional networks10
Information systems engineering with Digital Shadows: Concept and use cases in the Internet of Production10
Centrality measures in fuzzy social networks10
Probabilistic declarative process mining10
Aligning observed and modelled behaviour by maximizing synchronous moves and using milestones9
Scenario-based process querying for compliance, reuse, and standardization9
Keyword aware influential community search in large attributed graphs9
Privacy-aware data cleaning-as-a-service9
HCDC: A novel hierarchical clustering algorithm based on density-distance cores for data sets with varying density9
SQUIRREL: A framework for sequential group recommendations through reinforcement learning9
Secure multi-dimensional data retrieval with access control and range query in the cloud9
Event-case correlation for process mining using probabilistic optimization9
Process model abstraction for rapid comprehension of complex business processes9
In-situ visual exploration over big raw data9
A First-Order Logic verification framework for communication-parametric and time-aware BPMN collaborations9
Relevance- and interface-driven clustering for visual information retrieval9
Speed prediction in large and dynamic traffic sensor networks8
Keeping our rivers clean: Information-theoretic online anomaly detection for streaming business process events8
RCELF: A residual-based approach for Influence Maximization Problem8
Topical affinity in short text microblogs8
Significant stochastic dependencies in process models8
Detecting inorganic financial campaigns on Twitter8
Cell separation algorithm with enhanced search behaviour in miRNA feature selection for cancer diagnosis8
Discovering data transfer routines from user interaction logs8
Process Mining meets argumentation: Explainable interpretations of low-level event logs via abstract argumentation8
Cloud-Fog Assisted Energy Efficient Architectural Paradigm for Disaster Evacuation8
Rank/select queries over mutable bitmaps8
Exploring data structure alternatives in the RDB to NoSQL document store conversion process8
Graph-based managing and mining of processes and data in the domain of intellectual property7
Unleashing the power of querying streaming data in a temporal database world: A relational algebra approach7
Anti-alignments—Measuring the precision of process models and event logs7
Big data analytics deep learning techniques and applications: A survey7
A hinge-loss based codebook transfer for cross-domain recommendation with non-overlapping data7
COOL: A framework for conversational OLAP7
Data-aware conformance checking with SMT7
Adaptive personalized recommender system using learning automata and items clustering7
Community detection over feature-rich information networks: An eHealth case study7
Entropic relevance: A mechanism for measuring stochastic process models discovered from event data7
Handling information loss of graph convolutional networks in collaborative filtering7
Empowering conformance checking using Big Data through horizontal decomposition7
The role of local dimensionality measures in benchmarking nearest neighbor search7
Exploiting label semantics for rule-based activity recommendation in business process modeling7
Conformance checking of partially matching processes: An entropy-based approach6
Process mining meets model learning: Discovering deterministic finite state automata from event logs for business process analysis6
Efficient top-k recently-frequent term querying over spatio-temporal textual streams6
Mining and searching app reviews for requirements engineering: Evaluation and replication studies6
Enabling semantics-aware process mining through the automatic annotation of event logs6
Predictive compliance monitoring in process-aware information systems: State of the art, functionalities, research directions6
EQUALITY: Quality-aware intensive analytics on the edge6
Requirements Engineering for Cyber Physical Production Systems: The e-CORE approach and its application6
BR4DQ: A methodology for grouping business rules for data quality evaluation6
Model-based trace variant analysis of event logs6
A critique and attack on “Blockchain-based privacy-preserving record linkage”6
Cost-aware process modeling in multiclouds6
A split–merge clustering algorithm based on the k-nearest neighbor graph6
StyleBERT: Text-audio sentiment analysis with Bi-directional Style Enhancement6
Practical and comprehensive formalisms for modelling contemporary graph query languages6
Is text preprocessing still worth the time? A comparative survey on the influence of popular preprocessing methods on Transformers and traditional classifiers6
Measuring the interestingness of temporal logic behavioral specifications in process mining6
Sequence recommendations for groups: A dynamic approach to balance preferences6
Data pre-processing pipeline generation for AutoETL6
LILLIE: Information extraction and database integration using linguistics and learning-based algorithms6
A comparative study on the energy consumption of Progressive Web Apps5
Prototyping a business process improvement plan. An evidence-based approach5
Every apprentice needs a master: Feedback-based effectiveness improvements for process model matching5
From action to response to effect: Mining statistical relations in work processes5
Relational schema optimization for RDF-based knowledge graphs5
BPMN 2.0 OR-Join Semantics: Global and local characterisation5
Exploring data using patterns: A survey5
Heterogeneous graph neural networks for fraud detection and explanation in supply chain finance5
Online correlation for unlabeled process events: A flexible CEP-based approach5
Supervised learning of process discovery techniques using graph neural networks5
Exploiting GPUs for fast intersection of large sets5
Verifying compliance in process choreographies: Foundations, algorithms, and implementation5
Process discovery with context-aware process trees5
Real-world K-Anonymity applications: The KGen approach and its evaluation in fraudulent transactions5
DIA: User-defined interval analytics on distributed streams5
XChange: A semantic diff approach for XML documents5
Keyword search over schema-less RDF datasets by SPARQL query compilation5
A reproducible POI recommendation framework: Works mapping and benchmark evaluation5
AI-based decision support system for public procurement5
Ripple: An approach to locate k nearest neighbours for location-based services5
Scalable generalized median graph estimation and its manifold use in bioinformatics, clustering, classification, and indexing5
Fast, scalable and geo-distributed PCA for big data analytics5
Stochastic-aware precision and recall measures for conformance checking in process mining5
Prescriptive process monitoring based on causal effect estimation5
Semantics-aware mechanisms for control-flow anonymization in process mining4
GoFast: Graph-based optimization for efficient and scalable query evaluation4
An inter-modal attention-based deep learning framework using unified modality for multimodal fake news, hate speech and offensive language detection4
Efficient subspace search in data streams4
How meaningful are similarities in deep trajectory representations?4
A visual-semantic approach for building content-based recommender systems4
Generalized Ethereum Blockchain-based recommender system framework4
Beyond arrows in process models: A user study on activity dependences and their rationales4
A survey on the use of blockchains to achieve supply chain security4
Lattice-based progressive author disambiguation4
Learning business process simulation models: A Hybrid process mining and deep learning approach4
A survey of approaches for event sequence analysis and visualization4
Computation of alignments of business processes through relaxation labeling and local optimal search4
Credit distribution in relational scientific databases4
Towards interactive event log forensics: Detecting and quantifying timestamp imperfections4
Reproducible experiments on Three-Dimensional Entity Resolution with JedAI4
Transactions across serverless functions leveraging stateful dataflows4
ClayRS: An end-to-end framework for reproducible knowledge-aware recommender systems4
Adaptive client and communication optimizations in Federated Learning4
Conformance Checking in Process Mining4
Natural language querying of process execution data4
Re-ranking via local embeddings: A use case with permutation-based indexing and the nSimplex projection4
A detection method for hybrid attacks in recommender systems4
Assessing and improving measurability of process performance indicators based on quality of logs4
A statistical method for predicting quantitative variables in association rule mining3
Adaptive social recommendation combined with the multi-domain influence3
Fast and accurate quantitative business process analysis using feature complete queueing models3
A Value Co-Creation Perspective on Data Labeling in Hybrid Intelligence Systems: A Design Study3
Adaptive search query generation and refinement in systematic literature review3
Scalable and data-aware SQL query recommendations3
Exploring modified areas for updating influential nodes3
Preference-based and local post-hoc explanations for recommender systems3
Best practices of testing database manipulation code3
SchemaDecrypt++: Parallel on-line Versioned Schema Inference for Large Semantic Web Data sources3
Weighted top-k dominating queries on highly incomplete data3
Reuse-centric k-means configuration3
Efficient query evaluation techniques over large amount of distributed linked data3
A screenshot-based task mining framework for disclosing the drivers behind variable human actions3
Feature-oriented engineering of declarative artifact-centric process models3
Schema mapping generation in the wild3
Query by documents on top of a search interface3
Process-related user interaction logs: State of the art, reference model, and object-centric implementation3
Medoid Silhouette clustering with automatic cluster number selection3
Assured automatic dynamic reconfiguration of business processes3
Transparent assessment of information quality of online reviews using formal argumentation theory3
Towards the efficient discovery of meaningful functional dependencies3
An improved context-aware weighted matrix factorization algorithm for point of interest recommendation in LBSN3
Kernel-based clustering via Isolation Distributional Kernel3
ABID: Angle Based Intrinsic Dimensionality — Theory and analysis3
Skyline recomputation in Big Data3
SJSON: A succinct representation for JSON documents3
Novel diversified echo state network for improved accuracy and explainability of EEG-based stroke prediction3
ECHR-OD: On building an integrated open repository of legal documents for machine learning applications3
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