On the public citation graph
On the distributed software architecture of a data analysis workflow: A case study
0 signed · 40 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/cpe.1312openalex-snapshot
Building and applying geographical information system Grids
inferredcites →https://doi.org/10.1002/cpe.2854openalex-snapshot
Toward a modular and efficient distribution for Web service handlers
inferredcites →https://doi.org/10.1002/cpe.4694openalex-snapshot
Hybrid cloud computing monitoring software architecture
inferredcites →https://doi.org/10.1002/cpe.4793openalex-snapshot
Detecting misinformation in social networks using provenance data
inferredcites →https://doi.org/10.1002/cpe.4894openalex-snapshot
Application of provenance in social computing: A case study
inferredcites →https://doi.org/10.1007/0-387-30394-4_17openalex-snapshot
Real Time Streaming Data Grid Applications
inferredcites →https://doi.org/10.1007/11752578_39openalex-snapshot
Grids for Real Time Data Applications
inferredcites →https://doi.org/10.1007/s00024-006-0137-8openalex-snapshot
iSERVO: Implementing the International Solid Earth Research Virtual Observatory by Integrating Computational Grid and Geographical Information Web Services
inferredcites →https://doi.org/10.1007/s11628-016-0332-3openalex-snapshot
Predicting direct marketing response in banking: comparison of class imbalance methods
inferredcites →https://doi.org/10.1016/j.eswa.2004.06.007openalex-snapshot
An integrated data mining and behavioral scoring model for analyzing bank customers
inferredcites →https://doi.org/10.1016/j.eswa.2019.03.051openalex-snapshot
A new data clustering algorithm based on critical distance methodology
inferredcites →https://doi.org/10.1016/j.eswa.2019.05.020openalex-snapshot
Direct marketing campaigns in retail banking with the use of deep learning and random forests
inferredcites →https://doi.org/10.1016/j.future.2006.05.009openalex-snapshot
Fault tolerant high performance Information Services for dynamic collections of Grid and Web services
inferredcites →https://doi.org/10.1016/j.procs.2017.08.280openalex-snapshot
Evaluation of classification algorithms for banking customer’s behavior under Apache Spark Data Processing System
inferredcites →https://doi.org/10.1088/1361-6501/ab4a45openalex-snapshot
Fast prediction of reservoir permeability based on embedded feature selection and LightGBM using direct logging data
inferredcites →https://doi.org/10.1088/1757-899x/336/1/012017openalex-snapshot
Integration K-Means Clustering Method and Elbow Method For Identification of The Best Customer Profile Cluster
inferredcites →https://doi.org/10.1109/access.2020.3015616openalex-snapshot
Intelligent Performance-Aware Adaptation of Control Policies for Optimizing Banking Teller Process Using Machine Learning
inferredcites →https://doi.org/10.1109/bigdata47090.2019.9006337openalex-snapshot
Streaming Machine Learning Algorithms with Big Data Systems
inferredcites →https://doi.org/10.1109/ccoms.2018.8463271openalex-snapshot
Machine Learning-Based Framework for the Analysis of Project Viability
inferredcites →https://doi.org/10.1109/icaccaf.2018.8776802openalex-snapshot
Credit Card Default Prediction using Machine Learning Techniques
inferredcites →https://doi.org/10.1109/iccsa50381.2020.00023openalex-snapshot
Software Architecture of a System Designed for Churn Analysis and Customer Retention in Banking Industry
inferredcites →https://doi.org/10.1109/iciw.2008.55openalex-snapshot
An Orchestration for Distributed Web Service Handlers
inferredcites →https://doi.org/10.1109/iske.2017.8258806openalex-snapshot
An accident prediction approach based on XGBoost
inferredcites →https://doi.org/10.1109/siu.2015.7130446openalex-snapshot
Comparison of cluster, Grid and Cloud Computing using three different approaches
inferredcites →https://doi.org/10.1109/skg.2016.010openalex-snapshot
An Approach to Standalone Provenance Systems for Big Social Provenance Data
inferredcites →https://doi.org/10.1109/skg.2017.00022openalex-snapshot
Detecting Misinformation in Social Networks Using Provenance Data
inferredcites →https://doi.org/10.1109/skg.2018.00009openalex-snapshot
Provenance Collection Platform for the Weather Research and Forecasting Model
inferredcites →https://doi.org/10.1109/tvcg.2019.2934631openalex-snapshot
Explaining Vulnerabilities to Adversarial Machine Learning through Visual Analytics
inferredcites →https://doi.org/10.1142/s1469026815500224openalex-snapshot
A Cluster-Based Data Balancing Ensemble Classifier for Response Modeling in Bank Direct Marketing
inferredcites →https://doi.org/10.3233/rda-180051openalex-snapshot
Appropriate machine learning techniques for credit scoring and bankruptcy prediction in banking and finance: A comparative study
inferredcites →https://doi.org/10.4018/978-1-5225-8100-0.ch002openalex-snapshot
A Machine Learning Approach for Predicting Bank Customer Behavior in the Banking Industry
inferredcites →https://doi.org/10.5121/mlaij.2016.3101openalex-snapshot
Developing Prediction Model of Loan Risk in Banks Using Data Mining
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4730479openalex-extracted
Integration of Early Warning Systems and Customer Segmentation Methods in the Financial Industry - A Systematic Literature Review
inferred← citeshttps://doi.org/10.2139/ssrn.4779632openalex-extracted
Integrating Early Warning Systems with Customer Segmentation: An Information Management Approach to Identifying Business Opportunities for Commercial Customers in the Financial Industry
inferred← citeshttps://doi.org/10.1016/j.jjimei.2024.100234openalex-snapshot
How can artificial intelligence help customer intelligence for credit portfolio management? A systematic literature review
inferred← citeshttps://doi.org/10.1016/j.jjimei.2026.100428openalex-snapshot
Leveraging early warning systems and customer segmentation to identify business opportunities in the financial industry
inferred← citeshttps://doi.org/10.1109/bigdata55660.2022.10020831openalex-snapshot
A Real-time, Scalable Monitoring and User Analytics Solution for Microservices-based Software Applications
inferred← citeshttps://doi.org/10.1109/ccwc60891.2024.10427776openalex-snapshot
Hierarchical Software Framework for Safe Unmanned Aerial Systems Integration into National Airspace (NAS)
inferred← citeshttps://doi.org/10.2139/ssrn.4989541openalex-snapshot
Integrating Early Warning Systems with Customer Segmentation: An Information Management Approach to Identifying Business Opportunities for Commercial Customers in the Financial Industry
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.