Data Mining and Machine Learning最新文献

筛选
英文 中文
Fraud Detection System based on Artificial Immune System 基于人工免疫系统的欺诈检测系统
Data Mining and Machine Learning Pub Date : 2022-04-23 DOI: 10.5121/csit.2022.120707
M. Pedersen
{"title":"Fraud Detection System based on Artificial Immune System","authors":"M. Pedersen","doi":"10.5121/csit.2022.120707","DOIUrl":"https://doi.org/10.5121/csit.2022.120707","url":null,"abstract":"Nowadays, one of the most important problems for financial companies is fraud related to online transactions. It is becoming increasingly sophisticated and advanced, leading to financial losses on the part of both customers and companies. Based on this, my company was tasked with creating a fraud detection system that is scalable and adaptable to change. This research aims to create a solution that can be used to identify differences in customer behavior patterns and detect fraud. The artificial immune system model proposed in this article, combined with certain informative features, is simple to implement and can describe customer behavior patterns.","PeriodicalId":381018,"journal":{"name":"Data Mining and Machine Learning","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126178067","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 31
A Pose-based Image Searching using Computer Vision and Post-Estimate 基于姿态的计算机视觉图像搜索与后置估计
Data Mining and Machine Learning Pub Date : 2022-04-23 DOI: 10.5121/csit.2022.120716
Hang Wang, Yu Sun
{"title":"A Pose-based Image Searching using Computer Vision and Post-Estimate","authors":"Hang Wang, Yu Sun","doi":"10.5121/csit.2022.120716","DOIUrl":"https://doi.org/10.5121/csit.2022.120716","url":null,"abstract":"As the cost of human forces increases, people in some careers, like the artists, may find some difficulties when models are needed in the processes of making art. Obviously, one alternative solution is to find pictures online, however, when some specific poses are needed, they may also find some difficulties to describe them. This paper develops an application to search for pictures with the target pose described by the user's graphical input. In this project, one hundred images describing distinct actions and activities with various poses and view-angles are collected. Mediapipe is then used to analyze those images in a quantitative way. We also embedded a User Interface that allows the user to imitate the intended pose as well as the viewing angles by simply dragging around body joints of the figure. Different sets of feature points and matching algorithms are also tested to find out the best solution.","PeriodicalId":381018,"journal":{"name":"Data Mining and Machine Learning","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132610024","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Cost-Efficient Data Privacy Protection in Multi Cloud Storage 多云存储中经济高效的数据隐私保护
Data Mining and Machine Learning Pub Date : 2022-04-23 DOI: 10.5121/csit.2022.120706
Artem Matveev
{"title":"Cost-Efficient Data Privacy Protection in Multi Cloud Storage","authors":"Artem Matveev","doi":"10.5121/csit.2022.120706","DOIUrl":"https://doi.org/10.5121/csit.2022.120706","url":null,"abstract":"Data privacy in the cloud is a big concern for all of its users, especially for public clouds. Modern trends in studies utilise multiple clouds to achieve data privacy protection. Most of the present studies focus on business-oriented solutions, but current study aims to create a solution for individual users which would not increase the cost of ownership, and provide enough flexibility and privacy protection by combining password protection, key-derivation, multilayer encryption and key distribution across multiple clouds. New design allows to use single cloud to store protected user data, meanwhile use free plans on other clouds to store key information on others and thereby does not rise a cost of the solution. As a result, proposed design gives multiple layers of protection of Data Privacy while having a low cost of use. With some further adaptation it could be proposed as a business solution.","PeriodicalId":381018,"journal":{"name":"Data Mining and Machine Learning","volume":"2003 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125781428","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Implementing Blockchain Technology in Supply Chain Management 区块链技术在供应链管理中的应用
Data Mining and Machine Learning Pub Date : 2022-04-23 DOI: 10.5121/csit.2022.120713
A. Anand, A. Seetharaman, K. Maddulety
{"title":"Implementing Blockchain Technology in Supply Chain Management","authors":"A. Anand, A. Seetharaman, K. Maddulety","doi":"10.5121/csit.2022.120713","DOIUrl":"https://doi.org/10.5121/csit.2022.120713","url":null,"abstract":"This paper is aimed at studying the factors influencing the implementation of blockchain in supply chain management to solve the current issues faced in the supply chain ecosystem. Supply chains are part and parcel of every business and have multiple inefficiencies in the system. Some of these inefficiencies can be managed by usage of blockchain Platform .Technology, intracompany synergies, intercompany collaboration, extrinsic factors, and innovation are critically evaluated for adoption of blockchain in supply chain. A pilot study is conducted in form survey for analysis of these factors. Hypotheses are derived for these factors for quantitative research. Subsequently these hypotheses are examined with the help of ADANCO2.3 for structural equation modelling. As an outcome, it is evident that Innovation and Extrinsic factors are significantly impacting the adoption of blockchain in supply chain management.","PeriodicalId":381018,"journal":{"name":"Data Mining and Machine Learning","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129729139","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Multilingual Speech Recognition Methods using Deep Learning and Cosine Similarity 基于深度学习和余弦相似度的多语言语音识别方法
Data Mining and Machine Learning Pub Date : 2022-04-23 DOI: 10.5121/csit.2022.120702
P. Reddy, Chirag Rudresh, Adithya A S
{"title":"Multilingual Speech Recognition Methods using Deep Learning and Cosine Similarity","authors":"P. Reddy, Chirag Rudresh, Adithya A S","doi":"10.5121/csit.2022.120702","DOIUrl":"https://doi.org/10.5121/csit.2022.120702","url":null,"abstract":"The paper includes research on discovering new methods for multilingual speech recognition and comparing the effectiveness of the existing solutions with the proposed novelty approaches. The audio and textual multilingual dataset contains multilingual sentences where each sentence contains words from two different languages - English and Kannada. Our proposed speech recognition process includes preprocessing and splitting each audio sentence based on words, which is then given as input to the DL translator (using MFCC features) along with next word predictions. The use of a Next Word Prediction model along with the DL translator to accurately identify the words and convert to text. Similarly the other approach proposed is the use of cosine similarity where the speech recognition is based on the similarity between word uttered and the generated training dataset. Our models were trained on an audio and textual dataset that were generated by the team members and the test accuracies were measured based on the same dataset. The accuracy of our speech recognition model, using the novelty method, is 71%. This is a considerably good result compared to the existing multilingual translation solutions. Communication gap has been a major issue for many natives and locals trying to learn or move ahead in this tech-savvy English-speaking world. To communicate effectively, it is not only essential to have a single language translator but also a tool that can help understand a mixture of different languages to bridge the gap of communication with the non-English speaking communities. Integrating a multilingual translator with the power of a smart phone voice assistant can help aid this process.","PeriodicalId":381018,"journal":{"name":"Data Mining and Machine Learning","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129822217","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
How to Enhance the Sharing of Cyber Incident Information via Fine-Grained Access Control 如何通过细粒度访问控制加强网络事件信息的共享
Data Mining and Machine Learning Pub Date : 2022-04-23 DOI: 10.5121/csit.2022.120717
J. Salonen, Tatu Niskanen, Pia Raitio
{"title":"How to Enhance the Sharing of Cyber Incident Information via Fine-Grained Access Control","authors":"J. Salonen, Tatu Niskanen, Pia Raitio","doi":"10.5121/csit.2022.120717","DOIUrl":"https://doi.org/10.5121/csit.2022.120717","url":null,"abstract":"Industry 4.0 and the ongoing digital transformation along with a large number interconnected machines anddevices increase the role of cybersecurity, cyber incident handling and incident response in the factories of the future (FoF). Cyber incident information sharing plays a major role when we need to formulate situational pictures about FoF operations and environment, and respond to cybersecurity threats related to e.g. the implementation of novel technologies. Sharing of incident information has a major drawback since it may reveal too much about the attack target, e.g. in the case of legacy systems and therefore restrictions may apply. We have developed a proof-of-concept service that combines access control and encryption of data at high granularity and a mechanism for requesting access to restricted cyber incident information. Theobjective was to demonstrate how access to restricted incident data fields could be managed in a fine-grained manner to enhance information sharing.","PeriodicalId":381018,"journal":{"name":"Data Mining and Machine Learning","volume":"162 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124545998","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
An Intelligent Social-based Assistant Application for Study Time Management using Artificial Intelligence and Natural Language Processing 基于人工智能和自然语言处理的学习时间管理智能社交助手应用
Data Mining and Machine Learning Pub Date : 2022-04-23 DOI: 10.5121/csit.2022.120714
Haoyu Li, Ryan Yan, Ang Li
{"title":"An Intelligent Social-based Assistant Application for Study Time Management using Artificial Intelligence and Natural Language Processing","authors":"Haoyu Li, Ryan Yan, Ang Li","doi":"10.5121/csit.2022.120714","DOIUrl":"https://doi.org/10.5121/csit.2022.120714","url":null,"abstract":"The question that we aim to solve is “How will elderly people be able to increase their productivity and remember their tasks?” There are many ways to go about answering this question, but we have devised a simple solution to this question that can directly and quickly have a positive impact on these individuals. Our method to solving this is creating a to-do list in Flutter, which will allow elderly people to have easy access to a list of tasks that they have to complete [5]. Some predicted results of this to-do list is that it can raise productivity for its users. Our to-do list features a ChatBot, which talks to the user through a message-like system in order to prompt user input for specific details such as the time, date, and main description of the task [6]. Then, the ChatBot will take in all this information to produce a clean and concise final task description that takes keywords from the user-inputted description. This provides users of our to-do list with an alternative method of adding tasks, which may be greatly appreciated by those who are less able-bodied or struggle to type. By offering the elderly a way of adding tasks that can take less typing, these individuals may rely on this to-do list as a great convenience to their lives.","PeriodicalId":381018,"journal":{"name":"Data Mining and Machine Learning","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116050127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Improving the Digital Security of Smart Energy Systems with Smart Contracts 利用智能合约提高智能能源系统的数字安全
Data Mining and Machine Learning Pub Date : 2022-04-23 DOI: 10.5121/csit.2022.120711
Pekka Koskela, J. Salonen, Juha Parssinen
{"title":"Improving the Digital Security of Smart Energy Systems with Smart Contracts","authors":"Pekka Koskela, J. Salonen, Juha Parssinen","doi":"10.5121/csit.2022.120711","DOIUrl":"https://doi.org/10.5121/csit.2022.120711","url":null,"abstract":"Smart grids are evolving towards intelligent electricity grid where the operation of systems is distributed and automatised. Technical solutions to achieve these future needs are proposed using blockchain with smart contracts in many studies, where smart contracts enhance automation. Fundamentally smart contracts will increase security because of their distributed nature and since it inherits the security of blockchain. However, smart contracts are software components, which have special features like the unstoppable nature of applications and may use special languages like Solidity. Our aim in this paper is to get a holistic review in the smart contract life cycle, what potential new vulnerabilities and threats will they introduce and how can they be prevented, and what smart contract specific issues programmers should focus on. We also propose a future direction to achieve more secure smart contracts in smart energy systems.","PeriodicalId":381018,"journal":{"name":"Data Mining and Machine Learning","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116046692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Data-Driven Real-Time Analytical Framework with Improved Granularity using Machine Learning and Big Data Analysis 使用机器学习和大数据分析改进粒度的数据驱动实时分析框架
Data Mining and Machine Learning Pub Date : 2022-04-23 DOI: 10.5121/csit.2022.120705
Yubo Zhang, Yu Sun
{"title":"A Data-Driven Real-Time Analytical Framework with Improved Granularity using Machine Learning and Big Data Analysis","authors":"Yubo Zhang, Yu Sun","doi":"10.5121/csit.2022.120705","DOIUrl":"https://doi.org/10.5121/csit.2022.120705","url":null,"abstract":"During daily studying and working, people have to research massive amounts of information on the internet and download numerous files. Some of these files can be easily categorized to relevant files. However, there are always some files left unorganized due to their difficulty in categorization [1]. Such files pile up in the download folder as time passes, making the folder extremely messy. Many people do not have the motive to clean up the folder as it requires a lot of energy and time. Based on this common problem, my group developed an app that can clean the messy folder up. After applying our program which is based on machine learning, the files will firstly be divided into five general parts – document, video, music, photos and package. Then the files will be further categorized based on the contents they present. For example, photos are divided into animals, families and so on. In order to achieve the content-categorizing function, several powerful apis were introduced in our program, and they helped us to achieve the optimal results.","PeriodicalId":381018,"journal":{"name":"Data Mining and Machine Learning","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121730672","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Image Encryption Algorithm of Chaos System Adding Cosine Excitation Function 加入余弦激励函数的混沌系统图像加密算法
Data Mining and Machine Learning Pub Date : 2022-04-23 DOI: 10.5121/csit.2022.120715
Zhenzhou Guo, Xintong Li
{"title":"Image Encryption Algorithm of Chaos System Adding Cosine Excitation Function","authors":"Zhenzhou Guo, Xintong Li","doi":"10.5121/csit.2022.120715","DOIUrl":"https://doi.org/10.5121/csit.2022.120715","url":null,"abstract":"In order to increase the chaotic performance of the chaotic system, the chaotic system A-S proposed by Sprott is improved by adding a cosine excitation function to a controller. A series of new chaotic systems are obtained, and the chaotic performance of the improved system is verified. The image is encrypted by the chaotic sequence generated by the improved A chaotic system. In the scrambling part of the image encryption algorithm, the zigzag transformation is improved, and different directions are selected to start the traversal, so that the scrambling process is not easy to be restored. The diffusion part draws on the traditional IDEA algorithm to perform diffusion operations on the image. Finally, the encryption algorithm is analyzed and tested, and the results show that the algorithm has fast encryption and decryption speed, sufficient key space, and can resist statistical analysis attacks well. The algorithm can provide better guarantee for the security of images.","PeriodicalId":381018,"journal":{"name":"Data Mining and Machine Learning","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115392223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书