2021 2nd International Conference on Computing and Data Science (CDS)最新文献_第7页

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2021 2nd International Conference on Computing and Data Science (CDS) Pub Date : 2021-01-01 DOI: 10.1109/cds52072.2021.00003

引用次数: 0

Application of Fast Fourier Transform in A Class of Two-point Boundary Value Problem 快速傅里叶变换在一类两点边值问题中的应用

2021 2nd International Conference on Computing and Data Science (CDS) Pub Date : 2021-01-01 DOI: 10.1109/CDS52072.2021.00013

Boxun Feng

引用次数: 0

Evaluation of biometric recognition in the COVID-19 period COVID-19期间生物特征识别评估

2021 2nd International Conference on Computing and Data Science (CDS) Pub Date : 2021-01-01 DOI: 10.1109/CDS52072.2021.00049

Yicheng Zhou

引用次数: 3

Comparative Unsupervised Clustering Approaches for Customer Segmentation 客户细分的比较无监督聚类方法

2021 2nd International Conference on Computing and Data Science (CDS) Pub Date : 2021-01-01 DOI: 10.1109/CDS52072.2021.00097

Asmin Alev Aktas, Okan Tunali, Ahmet Tugrul Bayrak

{"title":"Comparative Unsupervised Clustering Approaches for Customer Segmentation","authors":"Asmin Alev Aktas, Okan Tunali, Ahmet Tugrul Bayrak","doi":"10.1109/CDS52072.2021.00097","DOIUrl":"https://doi.org/10.1109/CDS52072.2021.00097","url":null,"abstract":"Machine learning-driven studies to get potent insights about customers are essential for the business world to grow as they achieve smarter in marketing and sales activities. Finding the consociate patterns of customer interaction activities leads to finding sensible segments. By this, strategists can reach out to different groups of customers with customized services, offers and plans. However, although clustering algorithms are reliable by virtue of them being competent studies, not all of them fit the studied domain. In this study, six well-known clustering algorithms with different parameters are applied to real-life customer purchase history data. The outcomes are compared, and the density distribution of data features in created clusters are visualized. Thus, it is possible to see the role of each selected feature on the differentiation of clusters. The cluster labels of data points (customers) are mapped in pairs of algorithms. As a result, the similarities and differences in clusters created by different algorithms are more straightforward to catch. Moreover, in addition to labeling data points with class labels, a hybrid approach is presented to obtain information about class label probabilities by fitting the support vector classification model. The proposed study gives promising results in understanding how different clustering algorithms fit the customer data and stands out with multi-sides evaluation and comparison experiments.","PeriodicalId":380426,"journal":{"name":"2021 2nd International Conference on Computing and Data Science (CDS)","volume":"100 22","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121016152","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: 4

Ensemble Learning in Credit Card Fraud Detection Using Boosting Methods 集成学习在信用卡欺诈检测中的应用

2021 2nd International Conference on Computing and Data Science (CDS) Pub Date : 2021-01-01 DOI: 10.1109/CDS52072.2021.00009

Haonan Feng

引用次数: 2

An Overview and Analysis of Hybrid Encryption: The Combination of Symmetric Encryption and Asymmetric Encryption 混合加密概述与分析:对称加密与非对称加密的结合

2021 2nd International Conference on Computing and Data Science (CDS) Pub Date : 2021-01-01 DOI: 10.1109/CDS52072.2021.00111

Qixin Zhang

{"title":"An Overview and Analysis of Hybrid Encryption: The Combination of Symmetric Encryption and Asymmetric Encryption","authors":"Qixin Zhang","doi":"10.1109/CDS52072.2021.00111","DOIUrl":"https://doi.org/10.1109/CDS52072.2021.00111","url":null,"abstract":"In the current scenario, various forms of information are spread everywhere, especially through the Internet. A lot of valuable information is contained in the dissemination, so security issues have always attracted attention. With the emergence of cryptographic algorithms, information security has been further improved. Generally, cryptography encryption is divided into symmetric encryption and asymmetric encryption. Although symmetric encryption has a very fast computation speed and is beneficial to encrypt a large amount of data, the security is not as high as asymmetric encryption. The same pair of keys used in symmetric algorithms leads to security threats. Thus, if the key can be protected, the security could be improved. Using an asymmetric algorithm to protect the key and encrypting the message with a symmetric algorithm would be a good choice. This paper will review security issues in the information transmission and the method of hybrid encryption algorithms that will be widely used in the future. Also, the various characteristics of algorithms in different systems and some typical cases of hybrid encryption will be reviewed and analyzed to showcase the reinforcement by combining algorithms. Hybrid encryption algorithms will improve the security of the transmission without causing more other problems. Additionally, the way how the encryption algorithms combine to strength the security will be discussed with the aid of an example.","PeriodicalId":380426,"journal":{"name":"2021 2nd International Conference on Computing and Data Science (CDS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131281751","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: 16

Review of Deep Learning-based Approaches for COVID-19 Detection 基于深度学习的COVID-19检测方法综述

2021 2nd International Conference on Computing and Data Science (CDS) Pub Date : 2021-01-01 DOI: 10.1109/CDS52072.2021.00069

Jinyang Liu

引用次数: 0

Annotated Corpus of Comments and Basic Semantic Analysis 注释语料库与基本语义分析

2021 2nd International Conference on Computing and Data Science (CDS) Pub Date : 2021-01-01 DOI: 10.1109/CDS52072.2021.00064

Semih Çelik, Gülsah Tümüklü Özyer

引用次数: 0

Analyzing User Behavior Patterns in Casual Games Using Time Series Clustering 利用时间序列聚类分析休闲游戏中的用户行为模式

2021 2nd International Conference on Computing and Data Science (CDS) Pub Date : 2021-01-01 DOI: 10.1109/CDS52072.2021.00070

Yiheng Zhou, Zhipeng Hu, Yongcheng Liu

{"title":"Analyzing User Behavior Patterns in Casual Games Using Time Series Clustering","authors":"Yiheng Zhou, Zhipeng Hu, Yongcheng Liu","doi":"10.1109/CDS52072.2021.00070","DOIUrl":"https://doi.org/10.1109/CDS52072.2021.00070","url":null,"abstract":"User behavior pattern classification based on time series clustering is playing an increasingly important role in the game industry. However, user behavior and data performance are quite different in lightweight casual games, compared with those in MMORPGs (Massively Multiplayer Online Role-Playing Games) that many research institutes studied before. With the development of mobile devices and the fragmentation of users' time, both the number of users and the importance in today's gaming industry for casual games jump rapidly. The unique user data performance, such as high sparsity, poses new challenges to clustering time-series data of user behavior based on this kind of game. In this paper, we take UNO!, a mobile card game with hundreds of millions of users, as our research object, and propose an improved time series similarity measurement via the smoothed sequence Euclidean distance to realize clustering analysis of user behavior patterns. In this analysis, we purposefully use the user feature sequence that is more consistent with the game feature. Finally, we explore the correlation of clustering results with user payment, and propose a visualization scheme that can comprehensively show users' payment behavior, including short-term and long-term, and its relationship with users' game behavior.","PeriodicalId":380426,"journal":{"name":"2021 2nd International Conference on Computing and Data Science (CDS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129333258","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

Zero-Inflated Embeddings to Analyze Homicide Occurrence Patterns 零膨胀嵌入分析凶杀发生模式

2021 2nd International Conference on Computing and Data Science (CDS) Pub Date : 2021-01-01 DOI: 10.1109/CDS52072.2021.00065

Hamadys L. Benavides Gutiérrez, Óscar Gómez, Mateo Dulce Rubio, Paula Rodríguez Díaz, Álvaro J. Riascos Villegas, J. S. M. Pabón

引用次数: 0