检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

1,618 篇 会议
135 篇 期刊文献
1 篇 学位论文

馆藏范围

1,754 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,188 篇 工学
- 869 篇 计算机科学与技术...
- 602 篇 软件工程
- 243 篇 电气工程
- 75 篇 控制科学与工程
- 63 篇 信息与通信工程
- 53 篇 建筑学
- 51 篇 土木工程
- 48 篇 生物工程
- 43 篇 生物医学工程（可授...
- 41 篇 测绘科学与技术
- 28 篇 机械工程
- 26 篇 仪器科学与技术
- 24 篇 光学工程
- 24 篇 石油与天然气工程
- 23 篇 电子科学与技术（可...
- 23 篇 化学工程与技术
- 23 篇 航空宇航科学与技...
379 篇 理学
- 174 篇 物理学
- 123 篇 数学
- 58 篇 生物学
- 53 篇 统计学（可授理学、...
- 24 篇 化学
- 23 篇 系统科学
- 18 篇 地球物理学
198 篇 管理学
- 110 篇 图书情报与档案管...
- 98 篇 管理科学与工程(可...
- 38 篇 工商管理
158 篇 医学
- 142 篇 临床医学
- 34 篇 基础医学(可授医学...
34 篇 法学
- 30 篇 社会学
17 篇 教育学
9 篇 农学
7 篇 文学
6 篇 经济学
5 篇 艺术学

主题

327 篇 visualization
298 篇 data visualizati...
166 篇 visual analytics
93 篇 data analysis
91 篇 data mining
41 篇 information visu...
40 篇 big data
39 篇 data models
35 篇 image color anal...
32 篇 information anal...
32 篇 analytical model...
30 篇 task analysis
29 篇 visual analysis
28 篇 time series anal...
27 篇 navigation
26 篇 feature extracti...
26 篇 layout
23 篇 semantics
22 篇 computational mo...
22 篇 visual databases

机构

14 篇 vrvis res ctr au...
13 篇 univ konstanz co...
12 篇 vrvis research c...
12 篇 university of ko...
11 篇 purdue univ w la...
8 篇 hong kong univ s...
7 篇 zhejiang univ pe...
7 篇 graz univ techno...
7 篇 univ maryland co...
6 篇 purdue universit...
6 篇 mit cambridge ma...
6 篇 virginia tech bl...
6 篇 peking univ sch ...
6 篇 stanford univ st...
5 篇 univ bergen n-50...
5 篇 arizona state un...
5 篇 tech univ darmst...
5 篇 peking univ key ...
5 篇 univ calif davis...
5 篇 virginia tech bl...

作者

18 篇 keim daniel a.
17 篇 schreck tobias
14 篇 matkovic kresimi...
13 篇 hauser helwig
12 篇 gracanin denis
10 篇 elmqvist niklas
9 篇 qu huamin
9 篇 ma kwan-liu
8 篇 maciejewski ross
8 篇 ertl thomas
8 篇 heer jeffrey
8 篇 chen wei
8 篇 rundensteiner el...
8 篇 splechtna rainer
7 篇 ward matthew o.
7 篇 yuan xiaoru
7 篇 linsen lars
7 篇 ebert david s.
7 篇 keim daniel
7 篇 chen siming

语言

1,709 篇 英文
35 篇 其他
10 篇 中文
2 篇 俄文
1 篇 法文
1 篇 葡萄牙文

检索条件"任意字段=Conference on Visual Data Exploration and Analysis"

共 1754 条记录，以下是221-230 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

EVRACE: Enhanced visual Retrieval and analysis for Large-Scale E-Bike Charging Curve exploration

EVRACE: Enhanced Visual Retrieval and Analysis for Large-Sca...

引用

IEEE International conference on Big data

作者： Saisai Hu Ji Zhang Zhao Li Donghui Ding Dong Liu Zhijun Pan Jiale Dong School of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing China University of Southern Queensland Towoomba Australia Hangzhou Yugu Technology Co. Ltd. Hangzhou China

ISBN: (数字)9798350362480

ISBN: (纸本)9798350362497

This Paper introduces a novel Enhanced visual Retrieval and analysis for Charging Efficiency (EVRACE) system, which presents a novel two-stage framework for visual retrieval and advanced analytics for massive charging curves of electric vehicles. The EVRACE is becoming an important system for enhancing battery performance management, detecting and mitigating charging anomalies, and informing strategic decision-making for stakeholders in the EV ecosystem. EVRACE utilizes deep time-series clustering to categorize charging curves with distinct characteristics and retrieves the most relevant cluster and the top k curves for comprehensive data analysis and risk assessment. This innovative framework substantially enhances retrieval efficiency, mitigates computational complexity, and offers a robust solution for real-time processing of large-scale charging data. Validation using real-world datasets demonstrates that the EVRACE system significantly improves retrieval efficiency and achieves high accuracy in anomaly detection compared to traditional methods.

关键词： Industries visualization Accuracy Pipelines Electric vehicles Real-time systems Safety Risk management Stakeholders Reliability

来源：评论

学校读者我要写书评

暂无评论

TimeElide: visual analysis of Non-Contiguous Time Series Slices

TimeElide: Visual Analysis of Non-Contiguous Time Series Sli...

引用

IEEE visualization conference (IEEE VIS)

作者： Oppermann, Michael Liu, Luce Munzner, Tamara Univ British Columbia Vancouver BC Canada

ISBN: (纸本)9781665433358

We introduce the design and implementation of Time-Elide, a visual analysis tool for the novel data abstraction of non-contiguous time series slices, namely time intervals that contain a sequence of time-value pairs but are not adjacent to each other. This abstraction is relevant for analysis tasks where time periods of interest are known in advance or inferred from the data, rather than discovered through open-ended visual exploration. We present a visual encoding design space as an underpinning of TimeElide, and the new sparkbox technique for visualizing fine and coarse grained temporal structures within one view. datasets from different domains and with varying characteristics guided the development and their analysis provides preliminary evidence of TimeElide's utility. We provide open-source code and demo at https://***/UBC-InfoVis/time-elide and supplemental materials at https://***/yqvmf/.

关键词： Human-centered computing visualization visualization systems and tools

来源：评论

学校读者我要写书评

暂无评论

24th International conference on Innovations for Community Services, I4CS 2024

24th International Conference on Innovations for Community S...

引用

24th International conference on Innovations for Community Services, I4CS 2024

ISBN: (纸本)9783031604324

The proceedings contain 23 papers. The special focus in this conference is on Innovations for Community Services. The topics include: QUBO Formulation for Sparse Sensor Placement for Classification;Leveraging Quantum Technology to Enhance Community Services and Supportive ICT Infrastructure;SATQUBOLIB: A Python Framework for Creating and Benchmarking (Max-)3SAT QUBOs;better Together – Empowering Citizen Collectives with Community Learning;the Future of Ageing: The Impact of Smart Home Technologies on Ageing in Place;examining Smart Neighborhood Platforms: A Qualitative exploration of Features and Applications;webMap - Large Language Model-assisted Semantic Link Induction in the Web;Development and Validation of AI-Driven NLP Algorithms for Chatbots in Requirement Engineering;Structured Knowledge Extraction for Digital Twins: Leveraging LLMs to Analyze Tweets;Oblivious Graph Algorithms for Solving TSP and VRP Using FHE and MPC;route Optimization of an Unmanned Aerial Vehicle Beyond visual Line of Sight;spanning Thread: A Multidimensional Classification Method for Efficient data Center Management;integrating Contextual Integrity in Privacy Requirements Engineering: A Study Case in Personal E-Health Applications;the System Architecture of a Reliable Telesurgery Service and its Performance analysis;emulation of Denial-of-Service Attacks for Software Defined Networks;scared? Prepared? Toward a Ransomware Incident Response Scenario;COPYCAT: Applying Serious Games in Industry for Defending Supply Chain Attack;operation Raven: Design of a Cyber Security Incident Response Game;greenhouse Gas Emissions as Commons: A Community Service Approach with Blockchain on the Edge;the Digital Product Passport: Enabling Interoperable Information Flows Through Blockchain Consortia for Sustainability;digital Sovereignty and Open-Source Software - A Discussion Paper;web-Based Protocol Enabling Distributed Identity Information Networks for Greater Sovereignty.

关键词：

来源：评论

学校读者我要写书评

暂无评论

24th International conference on Enterprise Information Systems, ICEIS 2022

24th International Conference on Enterprise Information Syst...

引用

24th International conference on Enterprise Information Systems, ICEIS 2022

ISBN: (纸本)9783031393853

The proceedings contain 20 papers. The special focus in this conference is on Enterprise Information Systems. The topics include: Effect of Convulsion Layers and Hyper-parameters on the Behavior of Adversarial Neural Networks;modelling Software Tasks for Supporting Resource-Driven Adaptation;A Critical View on the OQuaRE Ontology Quality Framework;successful Practices in Industry-Academy Collaboration in the Context of Software Agility: A Systematic Literature Review;distance Digital Learning for Adult Learners: Self-paced e-Learning on Business Information Systems;human-Computer Interaction: Ethical Perspectives on Technology and Its (Mis)uses;Meet2Map: A Framework to Support BPM Projects Implementation Collaboratively;the Factors of Enterprise Business Architecture Readiness in Organisations;a Specification of How to Extract Relevant Process Details to Improve Process Models;a Storage Location Assignment Problem with Incompatibility and Isolation Constraints: An Iterated Local Search Approach;considering User Preferences During Business Process Execution Using Content-Based Filtering;using IoT Technology for the Skilled Crafts;Implementation Solutions for FAIR Clinical Research data Management;visual Interactive exploration and Labeling of Large Volumes of Industrial Time Series data;resource Planning in Workflow Nets Based on a Symbolic Time Constraint Propagation Mechanism;implementation of the Maintenance Cost Optimization Function in Manufacturing Execution Systems;quantitative Comparison of Translation by Transformers-Based Neural Network Models;optiViTh: A Decision Guidance Framework and System for Design, analysis and Optimization of Cloud-Manufactured Virtual Things.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Preliminary exploration of a competency model for open-source processor chip design talent 23

Preliminary exploration of a competency model for open-sourc...

引用

2023 ACM Turing Award Celebration conference, CHINA 2023

作者： Yang, Xiaochun Zhang, Ke Yu, Zihao Shanghai AchieveFun Info Tech Co Ltd Shanghai China Institute of Computing Technology of Chinese Academy of Sciences China and University of Chinese Academy of Sciences Beijing China

ISBN: (纸本)9798400702334

To support the cultivation of open source processor chip design talents and to provide a high-quality talent development and assessment model for universities to assess students of the "Computing System and Processor"course and for enterprises to recruit graduates, professionals from enterprises and teachers from universities have collaborated to design an open source processor chip design talent competency model based on the CC2020 competency model, science and engineering practice theory and curriculum theory, in order to provide relatively reasonable, comprehensive and accurate reference information for talent training and education teaching. This poster designed a competency model that includes statement, computing and professional knowledge-skills pairs and dispositions. The summary results of the visual assessment tool designed on the basis of the competency model are presented, including an initial description of student characteristics, a comprehensive task-based assessment conclusion, as well as a detailed analysis of the dimensions of computing and professional knowledge-skill pairs and dispositions and corresponding suggestions. The authors will continue to refine the quantification of student learning behavior markers to provide easy-to-operate reference data for education and teaching and to enhance the usability of the model. © 2023 Owner/Author.

关键词： Curricula

来源：评论

学校读者我要写书评

暂无评论

exploration and Practice of data visualization 24

Exploration and Practice of Data Visualization

引用

2024 5th International conference on Big data Economy and Information Management, BDEIM 2024

作者： Yu, Gongzheng Yang, Shaowu College of Computer Science and Technology National University of Defense Technology Hunan Changsha China

ISBN: (纸本)9798400711862

Currently, data visualization is widely used in industries such as smart city display, rail transit monitoring and network traffic analysis, public opinion analysis. The data sources are relatively stable and the data formats are relatively regular. However, in some scenarios, the data is relatively scattered and of low quality, and there is limited introduction to the entire process of collecting, circulating, and aggregating this data into visual applications. Based on this, a comprehensive implementation method for metadata collection, raw data aggregation, and data visualization was explored and practiced, and a clear and scalable solution was proposed, from the backend to the frontend, the ideas and methods of data collection and aggregation, as well as the methods of building websites using the Django framework and implementing typical visualization applications using Echarts tools, were introduced. © 2024 Copyright held by the owner/author(s).

关键词： data aggregation data visualization Django Echarts

来源：评论

学校读者我要写书评

暂无评论

Development and Application of data analysis and visualization Software in Oil Testing Process

Development and Application of Data Analysis and Visualizati...

引用

Telecommunications and Power Electronics (TELEPE), International conference on

作者： Liqiang Wu Wanxue Jiang Zhi Chen Downhole Services Company CNPC Bohai Drilling Engineering Company Limited Renqiu Hebei China

ISBN: (数字)9798350369212

ISBN: (纸本)9798350380002

This study is devoted to the development and application of data analysis and visualization software in the process of oil testing, aiming at improving the understanding of underground reservoirs and the accuracy of reservoir development decisions. Through in-depth investigation and analysis of the requirements of geological data analysis and visualization, a powerful Oilanalysis software platform is designed and implemented, which can effectively process and analyze various types of geological data and provide intuitive and interactive visual display. The software developed in this study has flexible data import and processing functions, and can handle various geological data types including logging data, seismic data and core analysis data. At the same time, the software also integrates various data analysis and visualization algorithms, including stratigraphic modeling, porosity analysis, seismic exploration profile display and other functions, providing users with comprehensive data analysis and display tools. Through the analysis of practical application cases, the practical utility of the software in the process of oil testing is verified, which proves that it has important application value and popularization prospect.

关键词： visualization data analysis Accuracy Geology Oils data visualization Reservoirs Software Telecommunications Testing

来源：评论

学校读者我要写书评

暂无评论

MBTIviz: A visualization System for Research on Psycho-Demographics and Personality 9th

MBTIviz: A Visualization System for Research on Psycho-Demog...

引用

9th International conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2023

作者： Yang, Yutong Dong, Xiaoju Tian, Xuefei Zhang, Yanling Zhou, Meng SJTU Paris Elite Institute of Technology Shanghai Jiao Tong University Shanghai200240 China Department of Computer Science Shanghai Jiao Tong University Shanghai200240 China

ISBN: (纸本)9789819959679

The increasing interest in exploring the correlation between personality traits and real-life individual characteristics has been driven by the growing popularity of the Myers‒Briggs Type Indicator (MBTI) on social media platforms. To investigate this correlation, we conduct an analysis on a Myers‒Briggs Type Indicator (MBTI)-demographic dataset and present MBTIviz, a visualization system that enables researchers to conduct a comprehensive and accessible analysis of the correlation between personality and demographic variables such as occupation and nationality. While humanities and computer disciplines provide valuable insights into the behavior of small groups and data analysis, analysing demographic data with personality information poses challenges due to the complexity of big data. Additionally, the correlation analysis table commonly used in the humanities does not offer an intuitive representation when examining the relationship between variables. To address these issues, our system provides an integrated view of statistical data that presents all demographic information in a single visual format and a more informative and visually appealing approach to presenting correlation data, facilitating further exploration of the linkages between personality traits and real-life individual characteristics. It also includes machine learning predictive views that help nonexpert users understand their personality traits and provide career predictions based on demographic data. In this paper, we utilize the MBTIviz system to analyse the MBTI-demographic dataset, calculating age, gender, and occupation percentages for each MBTI and studying the correlation between MBTI, occupation, and nationality. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： data visualization

来源：评论

学校读者我要写书评

暂无评论

15th International Symposium on visual Information Communication and Interaction, VINCI2022

15th International Symposium on Visual Information Communica...

引用

15th International Symposium on visual Information Communication and Interaction, VINCI2022

ISBN: (纸本)9781450398077

The proceedings contain 22 papers. The topics discussed include: abstract and concrete materials: what to use for visualization onboarding for a treemap visualization?;a comparative study of color between abstract paintings, oil paintings and Chinese ink paintings;gaze-guided class activation mapping: leverage human visual attention for network attention in chest X-rays classification;conditions of preserving mental images by contour deformation;accelerating GPU rendering of 2D visualizations using resolution scaling and temporal reconstruction;animated transitions for small-scale visualizations;LegisLatio: a visualization tool for legislative roll-call vote data;ICEVis: interactive clustering exploration for tumor sub-region analysis in multiparametric cancer imaging;visual analysis of spatio-temporal earthquake events;investigation of two complexity sources for statistical graphs;and toward in-situ authoring of situated visualization with chorded keyboards.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Breast Cancer Classification: In-depth exploration of Different Paradigms and Ensemble Technique 18

Breast Cancer Classification: In-depth Exploration of Differ...

引用

18th INDIAcom;11th International conference on Computing for Sustainable Global Development, INDIACom 2024

作者： Adem, Abdulahi Mahammed Kant, Ravi Sonia Kumari, Sudesh Swaroopa, C. Naga Gupta, Gaurav Shoolini University Yogananda School of AI Computer and Data Sciences Solan India Ece Department Ambala Mullana India Bpsmv Sonipat Khanpur Kalan India Annamacharya Institute of Technology and Sciences Andhra Pradesh Rajampet India

ISBN: (纸本)9789380544519

Many lives are lost to breast cancer every year. Prognosis and timely identification of cancer types are vital components of cancer research, as early diagnosis is critical to effective treatment. This study presents a comprehensive investigation into breast cancer classification, employing an extensive suite of datasets from Wisconsin Breast Cancer for machine learning models. Rigorous preprocessing techniques were applied to refine the dataset, segmented into groups of testing and training. The ensemble of models, comprising Logistic Regression, Decision Tree, Random Forest, XGBoost, Support Vector Machine (SVM), Gaussian Naive Bayes, K-Nearest Neighbors (KNN), AdaBoost, together with Deep Neural Network (DNN), underwent meticulous evaluation. For a more in-depth analysis, performance metrics like ROC-AUC scores, F1 Score, accuracy, precision, and recall were used. The ROC curve, or receiver operating characteristic provided visual insights, highlighting the trade-offs involving specificity and sensitivity. The ensemble model emerged as a promising approach, showcasing collaborative strengths across diverse algorithms, and achieves an accuracy of 98.2%. Confusion matrices and running time comparisons further elucidated model intricacies and computational efficiencies. This study will contribute valuable insights into breast cancer diagnostics, emphasizing the importance of tailored model selection and collaboration in clinical decision-making. © 2024 Bharati Vidyapeeth, New Delhi.

关键词： cancer classification deep learning Ensemble machine learning

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共176页 << < 19 20 21 22 23 24 25 26 27 28 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：