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Cash-Out User Detection Based on Attributed Heterogeneous Information Network with a Hierarchical Attention Mechanism
2019
PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE
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In this paper, with the real datasets in Ant Credit Pay of Ant Financial Services Group, we first study the cashout user detection problem and propose a novel hierarchical attention mechanism based cash-out ...
As one of the major frauds in financial services, cash-out fraud is that users pursue cash gains with illegal or insincere means. ...
In this paper, we first study the cash-out detection problem under the AHIN framework, and propose a novel Hierarchical Attention mechanism based Cash-out User Detection model, called HACUD. ...
doi:10.1609/aaai.v33i01.3301946
fatcat:4k22nudqhzbzhakfr2fbonfsni
Heterogeneous Information Network based Default Analysis on Banking Micro and Small Enterprise Users
[article]
2022
arXiv
pre-print
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Specifically, we attempt to incorporate heterogeneous information network with rich attributes on multi-typed nodes and links for modeling the scenario of business banking service. ...
Furthermore, we devise a hierarchical attention mechanism respectively to learn the importance of contents inside each meta-path and the importance of different metapahs. ...
[12] considered node information and proposed an attributed heterogeneous information network (AHIN) for cash-out fraud detection. Hu et al. ...
arXiv:2204.11849v2
fatcat:jljivqnsrvdczi26valy5o6luy
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources
[article]
2020
arXiv
pre-print
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Heterogeneous graphs (HGs) also known as heterogeneous information networks have become ubiquitous in real-world scenarios; therefore, HG embedding, which aims to learn representations in a lower-dimension ...
survey and categorize the state-of-the-art HG embedding methods based on the information they used in the learning process to address the challenges posed by the HG heterogeneity. ...
, called HACUD, to classify the cash-out user. ...
arXiv:2011.14867v1
fatcat:phfoxj7qsrfshfednomeok7pau
A Semi-Supervised Graph Attentive Network for Financial Fraud Detection
2019
2019 IEEE International Conference on Data Mining (ICDM)
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2020 pre-print arXiv:2003.01171v1 fatcat:k3nk7do3ane5nkn6gqyadlfm4m
Moreover, we propose a hierarchical attention mechanism to better correlate different neighbors and different views. ...
By utilizing the social relations and the user attributes, our method can achieve a better accuracy compared with the state-of-the-art methods on two tasks. ...
[5] proposes a graph neural network for malicious account detection. Hu et al. [6] proposes a meta-path based graph embedding method for user cash-out prediction. ...
doi:10.1109/icdm.2019.00070
dblp:conf/icdm/WangQL0JWFYZY19
fatcat:6nmk42i4rrbcljhw66vggr47qq
Detecting Senior Executives' Personalities for Predicting Corporate Behaviors: An Attention-based Deep Learning Approach
2019
International Conference on Information Systems
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First, we design a novel deep learning-based artifact, namely pAttCLSTM which analyzes the senior executives' personalities on a large scale through social media data. ...
Second, empowered by pAttCLSTM, we empirically verify the predictive power of executives' personalities on firms' policy variables by using a dataset including Tweets of 507 executives worked in S&P 1500 ...
Acknowledgement This study was partially supported by a grant from the RGC Hong Kong (Project: CityU 11502115), and the NSFC Basic Research Program (Project: 71671155), and the City University of Hong ...
dblp:conf/icis/YangL19
fatcat:hmbzvatw25c2debalicx6frfya
Use of Ontologies for Metadata Records Analysis in Big Data
2018
International Scientific and Practical Conference "Information Technologies and Security"
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Big Data deals with the sets of information (structured, unstructured, or semi structured) so large that traditional ways and approaches (based on business intelligence decisions and database management ...
In the paper, the authors present a method for analyzing the Big Data metadata which allows selecting those blocks of information among the heterogeneous sources and data repositories that are pertinent ...
Such a mechanism can be based the task thesaurus which represents the user needs of base of the domain ontology. ...
dblp:conf/its2/RogushinaGP18
fatcat:fof3wy6tafg5nljysixd57mzeu
Agent-based host enumeration and vulnerability scanning using dynamic topology information
2010
2010 Information Security for South Africa
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In this paper we therefore propose an agent-based semiautonomous scanning mechanism which utilizes topology information to traverse networks with minimum bandwidth usage and maximum network coverage, and ...
Topology information is also used to constrain propagation to a well defined network, while intermittently active hosts and topology changes are detected by using resident reactive agents plotted throughout ...
Our mechanism, however, avoid scanning non-existent IP addresses since it detect targets based on CAM information.
XIII. ...
doi:10.1109/issa.2010.5588317
fatcat:4tktlam3x5hrjkczntpzic6dmm
A SURVEY ON NEW APPROACHES OF INTERNET OF THINGS DATA MINING
2017
International Journal of Advanced Research in Computer Science
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Configuring an IoT middleware layer and retrieving data is a big challenge for data consumers .In this paper, we survey on how IoT data can be produce and in such away automated knowledge discovery from ...
Many number of devices are associated with IoT, massive amount of volume data producing every day.Data Mining is a process of mining required data from databases in efficient way and obtaining optimized ...
applications need to be configured depends on the context of sensor information and user requirements. ...
doi:10.26483/ijarcs.v8i8.4849
fatcat:ojpxgnxrtjbzlhnqkzmlvlwu6y
A Survey on Metaverse: Fundamentals, Security, and Privacy
[article]
2022
arXiv
pre-print
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Specifically, we first investigate a novel distributed metaverse architecture and its key characteristics with ternary-world interactions. ...
realism, hyper spatiotemporality, sustainability, and heterogeneity. ...
[129] propose a time-domain attribute-based access control mechanism with provable security for sharing user-generated video contents (UGVCs) in the cloud. ...
arXiv:2203.02662v2
fatcat:k5ba4o3lbbarljwgrrqftamlue
A Survey of Security Architectures for Edge Computing-Based IoT
2022
IoT
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Next, we propose a secure EC-based architecture for IoT applications. ...
Edge computing (EC) is a promising strategy to overcome these challenges by bringing data processing and storage close to end users and IoT devices. ...
Informed Consent Statement: Not applicable.
Data Availability Statement: It has been a project together with Fluxloop company.
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/iot3030019
fatcat:vxwo2kklxrcb7a4vqzncpx5qwy
Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications
[article]
2020
arXiv
pre-print
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engineering or deep learning for automatic detection based on online social contents. ...
Current suicidal ideation detection methods include clinical methods based on the interaction between social workers or experts and the targeted individuals and machine learning techniques with feature ...
For example, Cash et al. [93] conducted a study on adolescents' comments and content analysis on MySpace. Steaming data provides a good source for user pattern analysis. Vioulès et al. ...
arXiv:1910.12611v2
fatcat:63z4uvh5zrgyzb2bawtlbuo34m
Bridging Socially Enhanced Virtual Communities
2013
IOSR Journal of Computer Engineering
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The empirical results revealed that the proposed system is effective when tested with test bed which is based on distributed technology such as web services. ...
As technologies required for collaborative computing grow, there are business collaborations among companies carrying out related business. ...
help given to us in the completion of our project titled, 'Video Watermarking scheme based on DWT and PCA for copyright protection'. ...
doi:10.9790/0661-0940104
fatcat:zejgpenvqzb7rkchkznv5igfwm
Combatting Insider Threats
[chapter]
2010
Advances in Information Security
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Trustworthy system developments must consider insider misuse as merely one set of threats that must be addressed consistently together with many other threats such as penetrations, denials of service, ...
This chapter seeks to cope with insider misuse in a broad range of application domainsfor example, critical infrastructures, privacy-preserving database systems, financial systems, and interoperable health-care ...
• Monitoring: Data from appropriate audit trails (operating systems, DBMSs, applications) and network data (packets, network management information) needs to be hierarchically abstracted, heterogeneous ...
doi:10.1007/978-1-4419-7133-3_2
fatcat:nlrc6r5mibayxnsttn4rmrgvzm
Open challenges for data stream mining research
2014
SIGKDD Explorations
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We study the social network structure among Tumblr users, analyze its user generated content, and describe reblogging patterns to analyze its user behavior. ...
Existing solutions are based on "best practices", i.e., the systems' decisions are knowledge-driven and/or data-driven. ...
Acknowledgments We would like to thank the participants of the RealStream2013 workshop at ECMLPKDD2013 in Prague, and in particular Bernhard Pfahringer and George Forman, for suggestions and discussions on ...
doi:10.1145/2674026.2674028
fatcat:y3bozzeohveibgxb5wmiwfcogm
Process Discovery in Business Process Management Optimization
2019
Information
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We also compared visualizations of the outcomes of our approach with different cases and showed performance characteristics of the cash loan sales process. ...
This paper presents a process discovery and how we can use it in a broader framework supporting self-organization in BPM. Process discovery is intrinsically associated with the process lifecycle. ...
This mechanism is a technique for identifying information from untagged data. ...
doi:10.3390/info10090270
fatcat:2iji6lpxkrg4laxsdzi4j6iutu
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