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Recently, financial institutes have been dealing with an increase in financial crimes.
Applying Data Mining in Investigating Money Laundering Crimes
Z. Zhang, J. J. Salerno, and P. S. Yu · 2003
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Technical report, 2004
Crime Data Mining: A General Framework and Some Examples · 2004
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Money laundering - A global obstacle
B. Buchanan · 2004
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Global financial crime : terrorism, money laundering, and off shore centres
D. Masciandaro · 2004
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Developing an intelligent data discriminating system of anti-money laundering based on SVM
J. Tang and J. Yin · 2005
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An Outlier Detection Model Based on Cross Datasets Comparison for Financial Surveillance
T. Zhu · 2006
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Development of grid resource discovery service based on semantic information
S. Beheshti and M. S. Moshkenani · 2007
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A framework for data mining-based anti-money laundering research
Z. Gao and M. Ye · 2007
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A Money Laundering Risk Evaluation Method Based on Decision Tree
S. Wang and J. Yang · 2007
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Intelligent Money Laundering Monitoring and Detecting System
A. Bustan, R. Hotel, D. Wang, Y. Wang, S. Gao, and D. Xu · 2008
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A RBF neural network model for anti-money laundering
L.-T. Lv, N. Ji, and J.-L. Zhang · 2008
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A critical analysis of variants of the AUC
S. Vanderlooy and E. Hüllermeier · 2008
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Computer Sciences Department Active Learning Literature Survey
B. Settles · 2009
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Research on money laundering detection based on improved minimum spanning tree clustering and its application
X. Wang and G. Dong · 2009
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Application of data mining for anti-money laundering detection: A case study
N. A. Le Khac and M. T. Kechadi · 2010
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A data mining-based solution for detecting suspicious money laundering cases in an investment bank
N. A. Le Khac, S. Markos, and M.-T. Kechadi · 2010
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A survey on transfer learning, 2010
S. J. Pan and Q. Yang · 2010
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Statistical methods for fighting financial crimes
A. Sudjianto, S. Nair, M. Yuan, A. Zhang, D. Kern, and F. Cela-Díaz · 2010
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A query language for analyzing business processes execution
S. Beheshti, B. Benatallah, H. R. M. Nezhad, and S. Sakr · 2011
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Research on anti-money laundering based on core decision tree algorithm
R. Liu, X. Qian, S. Mao, and S. Zhu · 2011
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Reputation management in crowdsourcing systems
M. Allahbakhsh, A. Ignjatovic, B. Benatallah, S. Beheshti, E. Bertino, and N. Foo · 2012
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A framework and a language for on-line analytical processing on graphs
S. Beheshti, B. Benatallah, H. R. M. Nezhad, and M. Allahbakhsh · 2012
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Applying Data Mining in Money Laundering Detection for the Vietnamese Banking Industry
C. D. Khoa and P. Do · 2012
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Investigation and prosecution of money laundering cases in Malaysia
Z. Muhammaddun Mohamed and K. Ahmad · 2012
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Collusion detection in online rating systems
M. Allahbakhsh, A. Ignjatovic, B. Benatallah, S. Beheshti, E. Bertino, and N. Foo · 2013
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Enabling the analysis of cross-cutting aspects in ad-hoc processes
S. Beheshti, B. Benatallah, and H. R. M. Nezhad · 2013
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A bayesian approach for suspicious financial activity reporting
N. S. Khan, A. S. Larik, Q. Rajput, and S. Haider · 2013
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Representation and querying of unfair evaluations in social rating systems
M. Allahbakhsh, A. Ignjatovic, B. Benatallah, S. Beheshti, N. Foo, and E. Bertino · 2014
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An Intelligent Anti-Money Laundering Method for Detecting Risky Users in the Banking Systems
N. Heidarinia, A. Harounabadi, M. Sadeghzadeh, and M. Branch · 2014
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Forensic Analysis for Monitoring Database Transactions
K. H. Kaur and D. S. Adane · 2014
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Ontology Based Expert-System for Suspicious Transactions Detection
Q. Rajput, N. S. Khan, A. Larik, and S. Haider · 2014
Cited alongside, same era.
Large scale graph processing systems: survey and an experimental evaluation
O. Batarfi, R. E. Shawi, A. G. Fayoumi, R. Nouri, S. Beheshti, A. Barnawi, and S. Sakr · 2015
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Application of k-means algorithm for efficient customer segmentation: a strategy for targeted customer services
C. P. Ezenkwu, S. Ozuomba, and C. Kalu · 2015
Cited alongside, same era.
DREAM: distributed RDF engine with adaptive query planner and minimal communication
M. Hammoud, D. A. Rabbou, R. Nouri, S. Beheshti, and S. Sakr · 2015
Cited alongside, same era.
Comprehensive and reliable crowd assessment algorithms
M. Joglekar, H. Garcia-Molina, and A. Parameswaran · 2015
Cited alongside, same era.
A framework of enriching business processes life-cycle with tagging information
DataSynapse: A Social Data Curation Foundry
A. Beheshti, B. Benatallah, A. Tabebordbar, H. R. Motahari-Nezhad, M. C. Barukh, and R. Nouri · 2019
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Towards context-aware social behavioral analytics
A. Beheshti, V. M. Hashemi, and S. Yakhchi · 2019
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DCAT: A deep context-aware trust prediction approach for online social networks
S. M. Ghafari, A. Joshi, A. Beheshti, C. Paris, S. Yakhchi, and M. A. Orgun · 2019
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Data mining for statistical analysis of money laundering transactions
M. E. Lokanan · 2019
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Anti-Money Laundering: Using data visualization to identify suspicious activity
K. Singh and P. Best · 2019
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Conceptmap: A conceptual approach for formulating user preferences in large information spaces
A. Tabebordbar, A. Beheshti, and B. Benatallah · 2019
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Z. Maamar, S. Sakr, A. Barnawi, and S. Beheshti · 2015
Cited alongside, same era.
Review On Detection of Suspicious Transaction In Anti-Money Laundering Using Data Mining Framework
K. D. Rohit, D. B. Patel, and S. P. M. Patel · 2015
Cited alongside, same era.
Scalable saas-based process customization with casewalls
Y. J. Sun, M. C. Barukh, B. Benatallah, and S. Beheshti · 2015
Cited alongside, same era.
Scalable graph-based OLAP analytics over process execution data
S. Beheshti, B. Benatallah, and H. R. Motahari-Nezhad · 2016
Cited alongside, same era.
Process Analytics - Concepts and Techniques for Querying and Analyzing Process Data
S. Beheshti, B. Benatallah, S. Sakr, D. Grigori, H. R. Motahari-Nezhad, M. C. Barukh, A. Gater, and S. H. Ryu · 2016
Cited alongside, same era.
Detection of money laundering groups using supervised learning in networks
D. Savage, Q. Wang, P. Chou, X. Zhang, and X. Yu · 2016
Cited alongside, same era.
Coredb: a data lake service
A. Beheshti, B. Benatallah, R. Nouri, V. M. Chhieng, H. Xiong, and X. Zhao · 2017
Cited alongside, same era.
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Adaptive rule adaptation in unstructured and dynamic environments
A. Tabebordbar, A. Beheshti, B. Benatallah, and M. C. Barukh · 2019
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Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics
M. Weber, G. Domeniconi, J. Chen, D. I. Karl Weidele, C. Bellei Elliptic, T. Robinson Elliptic, C. E. Leiserson, C. Bellei, and T. Robinson · 2019
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Enabling the analysis of personality aspects in recommender systems
S. Yakhchi, A. Beheshti, S. M. Ghafari, and M. A. Orgun · 2019
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Economic and Financial Crime
M. V. Achim and S. N. Borlea · 2020
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personality2vec: Enabling the analysis of behavioral disorders in social networks
A. Beheshti, V. M. Hashemi, S. Yakhchi, H. R. Motahari-Nezhad, S. M. Ghafari, and J. Yang · 2020
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istory: Intelligent storytelling with social data
A. Beheshti, A. Tabebordbar, and B. Benatallah · 2020
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Towards cognitive recommender systems
A. Beheshti, S. Yakhchi, S. Mousaeirad, S. M. Ghafari, S. R. Goluguri, and M. A. Edrisi · 2020
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A survey on trust prediction in online social networks
S. M. Ghafari, A. Beheshti, A. Joshi, C. Paris, A. Mahmood, S. Yakhchi, and M. A. Orgun · 2020
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A dynamic deep trust prediction approach for online social networks
S. M. Ghafari, A. Beheshti, A. Joshi, C. Paris, S. Yakhchi, A. Jolfaei, and M. A. Orgun · 2020
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Extractive document summarization based on dynamic feature space mapping
S. Ghodratnama, A. Beheshti, M. Zakershahrak, and F. Sobhanmanesh · 2020
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Attention mechanism in predictive business process monitoring
A. Jalayer, M. Kahani, A. Beheshti, A. Pourmasoumi, and H. R. Motahari-Nezhad · 2020
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Detecting money laundering transactions with machine learning
M. Jullum, A. Løland, R. B. Huseby, G. Ånonsen, and J. Lorentzen · 2020
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Towards intelligent feature engineering for risk-based customer segmentation in banking
S. Khadivizand, A. Beheshti, F. Sobhanmanesh, Q. Z. Sheng, E. Istanbouli, S. Wood, and D. Pezaro · 2020
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Convolutional neural network for medical image classification using wavelet features
A. Khatami, A. Nazari, A. Beheshti, T. T. Nguyen, S. Nahavandi, and J. Zieba · 2020
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Deep feature learnt by conventional deep neural network
H. Niu, W. Xu, H. Akbarzadeh, H. Parvin, A. Beheshti, and H. Alinejad-Rokny · 2020
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Snorkel: rapid training data creation with weak supervision
A. Ratner, S. H. Bach, H. Ehrenberg, J. Fries, S. Wu, and C. Ré · 2020
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Linking textual and contextual features for intelligent cyberbullying detection in social media
N. Rezvani, A. Beheshti, and A. Tabebordbar · 2020
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A novel cognitive computing technique using convolutional networks for automating the criminal investigation process in policing
F. Schiliro, A. Beheshti, and N. Moustafa · 2020
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Feature-based and adaptive rule adaptation in dynamic environments
A. Tabebordbar, A. Beheshti, B. Benatallah, and M. C. Barukh · 2020
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A review of money laundering literature: the state of research in key areas, 3 2020
M. Tiwari, A. Gepp, and K. Kumar · 2020
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Towards a deep attention-based sequential recommender system
S. Yakhchi, A. Beheshti, S. M. Ghafari, M. A. Orgun, and G. Liu · 2020
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Relational learning analysis of social politics using knowledge graph embedding
B. Abu-Salih, M. Al-Tawil, I. Aljarah, H. Faris, P. Wongthongtham, K. Y. Chan, and A. Beheshti · 2021
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Cognitive augmentation in processes
M. C. Barukh, S. Zamanirad, M. Baez, A. Beheshti, B. Benatallah, F. Casati, L. Yao, Q. Z. Sheng, and F. Schiliro · 2021
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Design methodology for service-based data product sharing and trading
J. Yang, Y. Tang, and A. Beheshti · 2021
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