2017 IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS)最新文献_第7页

Research and implementation of SVD in machine learning SVD在机器学习中的研究与实现

2017 IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS) Pub Date : 2017-05-01 DOI: 10.1109/ICIS.2017.7960038

Yongchang Wang, Ligu Zhu

{"title":"Research and implementation of SVD in machine learning","authors":"Yongchang Wang, Ligu Zhu","doi":"10.1109/ICIS.2017.7960038","DOIUrl":"https://doi.org/10.1109/ICIS.2017.7960038","url":null,"abstract":"With the arrival of the era of big data, people's ability to collect and obtain data is becoming more powerful. These data have shown the characteristics of high dimension, large scale and complex structure. High dimensional data has seriously hindered the efficiency of data mining algorithm, we call it \"the Dimension disaster \". Therefore, dimension reduction technology has become the primary task of big data mining and machine learning. In this paper, we focus on the method of data reduction, described the category of data dimension reduction. The research status and main algorithms of dimension reduction method are described in detail. This paper briefly introduces the latest research progress of data dimension reduction algorithm, including some popular algorithm such as PCA, KPCA, SVD, etc. The principle of principal component analysis (PCA) is discussed in this article, and the singular value decomposition (SVD) theorem is introduced to solve the problem that the PCA method has a large amount of computation, we also give a comparison of PCA and SVD. Finally, we design and implement some experiments to verify the application of SVD in data analysis and latent semantic indexing.","PeriodicalId":301467,"journal":{"name":"2017 IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114939793","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: 21

Natural image quality assessment based on visual cognitive mechanism 基于视觉认知机制的自然图像质量评价

2017 IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS) Pub Date : 2017-05-01 DOI: 10.1109/ICIS.2017.7960042

Run Zhang, Yongbin Wang

引用次数: 0

Cloud-assisted home health monitoring system 云辅助家庭健康监测系统

2017 IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS) Pub Date : 2017-05-01 DOI: 10.1109/ICIS.2017.7960120

Jian-Qiang Hu, Xuhui Chen, Y. Wang, Yicheng Huang, Xinpu Su

引用次数: 3

A secure contact protocol for delay tolerant networks 延迟容忍网络的安全接触协议

2017 IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS) Pub Date : 2017-05-01 DOI: 10.1109/ICIS.2017.7959960

Manghui Tu, Kyle W. Riordan, Geyang Xie, Shuhui Yang

引用次数: 1

STM32-based vehicle data acquisition system for Internet-of-Vehicles 基于stm32的车联网车辆数据采集系统

2017 IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS) Pub Date : 2017-05-01 DOI: 10.1109/ICIS.2017.7960119

Yong Xie, Xinpu Su, Yifan He, Xuhui Chen, Gengliang Cai, Baisheng Xu, Wenjia Ye

引用次数: 26

Smart city: The state of the art, datasets, and evaluation platforms 智慧城市:最先进的数据集和评估平台

2017 IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS) Pub Date : 2017-05-01 DOI: 10.1109/ICIS.2017.7960034

Sriharsha Mallapuram, Nnatubemugo Ngwum, Fang Yuan, Chao Lu, Wei Yu

引用次数: 54

A rapid fuzzy distance transform algorithm 一种快速模糊距离变换算法

2017 IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS) Pub Date : 2017-05-01 DOI: 10.1109/ICIS.2017.7960027

Ping Zhou, Guochao Cai, Yiwei Cao, Siyuan He, Nirong Bao

引用次数: 0

Effects of personal values and perceived values on e-book adoption 个人价值观和感知价值观对电子书采用的影响

2017 IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS) Pub Date : 2017-05-01 DOI: 10.1109/ICIS.2017.7960031

Boonlert Watj Atrakul, C. Hu

{"title":"Effects of personal values and perceived values on e-book adoption","authors":"Boonlert Watj Atrakul, C. Hu","doi":"10.1109/ICIS.2017.7960031","DOIUrl":"https://doi.org/10.1109/ICIS.2017.7960031","url":null,"abstract":"Personal values distinguish individuals from others and affect how individuals perceive values of technologies. However, the relationships between personal values and perceived values are unclear to explain individuals' adoption of technologies. E-books changing the publishing industry with a high adoption rate in a global market are used as the area of investigation. The study proposed a new framework to examine the relationships between five personal values (hedonism, stimulation, self-direction, power, and achievement) and three perceived values of e-books (functional value, emotional value, and social value), and their effects on individuals' intentions to use e-books. The results show that people who attach more importance to \"power\" have a concern about the success in their lives and pay more attention to social and functional values of e-books. People who attach more importance to \"achievement\" are more concerned with enjoying life, exciting life, and freedom life while people who put a high value on \"self-direction\" are more concerned with exciting life and enjoying life. People who attach more importance to \"hedonism\" pay more attention to emotional value of e-books and ones who put a high value on \"stimulation\" pay more attention to the social value of e-books. In addition, people tend to use e-books when they perceived functional and emotional values of e-books. The study extends knowledge in information technology adoption and provides guidance for creating e-book values to target different customer segmentation.","PeriodicalId":301467,"journal":{"name":"2017 IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128621380","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: 5

Holistic instructional design model and course examination for the four-component instructional design system 四要素教学设计体系的整体教学设计模式与课程考核

2017 IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS) Pub Date : 2017-05-01 DOI: 10.1109/ICIS.2017.7960121

Xuhui Chen, Huiyan Cheng, Shaochun Xu, Boyu Wen

引用次数: 2

Managing personal health records using meta-data and cloud storage 使用元数据和云存储管理个人健康记录

2017 IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS) Pub Date : 2017-05-01 DOI: 10.1109/ICIS.2017.7960004

M. Alyami, Majed Almotairi, Lawrence Aikins, A. Yataco, Yeong-Tae Song

{"title":"Managing personal health records using meta-data and cloud storage","authors":"M. Alyami, Majed Almotairi, Lawrence Aikins, A. Yataco, Yeong-Tae Song","doi":"10.1109/ICIS.2017.7960004","DOIUrl":"https://doi.org/10.1109/ICIS.2017.7960004","url":null,"abstract":"Patient generated data or personal clinical data in general is considered an important aspect in improving patient outcomes. However, personal clinical data is difficult to collect and manage due to their distributed nature, i.e., located over multiple places such as doctor's office, radiology center, hospitals, or some clinics, and heterogeneous data types such as text, image, chart, or paper based documents. In case of emergency, this situation makes necessary personal clinical data retrieval almost impossible. In addition, since the amount and types of personal clinical data continue to grow, finding relevant clinical data when needed is getting more difficult if no actions are taken. In response to such scenarios, we propose an approach that manages personal health data by utilizing meta-data for organization and easy retrieval of clinical data and cloud storage for easy access and sharing with caregivers to implement the continuity of care and evidence-based treatment. In case of emergency, we make critical medical information such as current medication and allergies available to relevant caregivers with valid license numbers only.","PeriodicalId":301467,"journal":{"name":"2017 IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127284633","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: 13