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Filters
Two Approaches on Implementation of CBR and CRM Technologies to the Spam Filtering Problem
2012
Journal of Information Security
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Also in this paper it is considered the second approach as implementation of CRM technology to spam filtration which is not applied to this area yet. ...
In this paper it is offered to apply Case Based Reasoning technology to a spam filtering problem. ...
One of them is CBR technology which is began to apply to spam filtering recently. Another one is CRM technology which is not applied to spam filtering problem yet. ...
doi:10.4236/jis.2012.31002
fatcat:slzv6h37fjakzceq456qsqbw7y
The State of Artificial Intelligence in Marketing With Directions for Future Research
2021
International Journal of Business Intelligence Research
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Our study is one among a few studies that have used bibliometric analysis methods to analyze and visualize the citation network of the AI-marketing interface. ...
To investigate AI in marketing, we have used bibliometric study, social network analysis (SNA), main path analysis, and content analysis to examine the top 10 authors, top 20 most cited articles, and top ...
A methodology in CPM, CPC and deep learning spam adverts and in the estimation of the relationship based on Deep Learning CPA networks; methods to CTR (click-through rate). ...
doi:10.4018/ijbir.297062
fatcat:d254xr24jbb7lanwldly4or45u
Stegomalware: A Systematic Survey of MalwareHiding and Detection in Images, Machine LearningModels and Research Challenges
[article]
2021
arXiv
pre-print
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In this article, to our knowledge, we are the first to try to address the knowledge gap between the current progress in image steganography and steganalysis academic research focusing on data hiding and ...
Based on our findings, we perform the detail review of the image steganography techniques including the recent Generative Adversarial Networks (GAN) based models and the image steganalysis methods including ...
ACKNOWLEDGMENT The authors would like to ...
arXiv:2110.02504v1
fatcat:wz5hnqeixrcdjc4afoyycjp7ui
ADVANCEMENTS IN APPLICATIONS OF MICROBIOLOGY AND BIOINFORMATICS INPHARMACOLOGY
2020
International Journal of Pharma and Bio Sciences
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The machine learning algorithms support the doctor to solve these types of problems. In this paper, we implemented the Random Forest algorithm to predict diabetes disease at an early stage. ...
Also, it focuses on the integration of machine learning algorithms to mankind. ...
ACKNOWLEDGMENT We thank the management of Sri Krishna arts and science college, Coimbatore, Tamil Nadu, India for the guidance to carry out this work. ...
doi:10.22376/ijpbs/ijlpr/sp08/jan/2020.1-222
fatcat:ovsvmyi76ret5pnyfin443lhii
WEB 2013 The First International Conference on Building and Exploring Web Based Environments WEB 2013 Committee WEB Advisory Chairs
unpublished
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We also kindly thank all the authors who dedicated much of their time and efforts to contribute to WEB 2013. ...
We are grateful to the members of the WEB 2013 organizing committee for their help in handling the logistics and for their work to make this professional meeting a success. ...
ACKNOWLEDGMENT The authors would like to thank Jayasimha S Kanakatte, Kalaivanan Saravanan, Ravi Ray, Seema Meena, and Susheel Ahuja for all the time they invested on the project. ...
fatcat:4outjioh3fba5leoefxfznbtt4
REVISTA ECONOMICĂ Journal of economic-financial theory and practice CNCSIS reference: B+, Code 478 Frequency: 6 issues/year Editor Deputy Editor Scientific Committee Editorial Board THE IMPACT OF SEMANTIC WEB TO BUSINESS INTELLIGENCE
unpublished
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The purpose of this research is to identify, describe and analyse if there is the impact on the Semantic Web solutions for Business Intelligence and how it manifests. ...
Business Intelligence are high-level decisions support applications, their role being to provide to management, based on information from the company, a picture of its situation at some time but also on ...
Based on this approach, the 50th rank may correspond to various decile in two different moments of time. ...
fatcat:6apakcqnzvf6dhuwtxbtsy2iri