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

2,298 篇 会议
152 篇 期刊文献
3 篇 学位论文

馆藏范围

2,453 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,574 篇 工学
- 1,173 篇 计算机科学与技术...
- 755 篇 软件工程
- 316 篇 电气工程
- 107 篇 控制科学与工程
- 80 篇 信息与通信工程
- 69 篇 土木工程
- 67 篇 建筑学
- 64 篇 测绘科学与技术
- 57 篇 生物工程
- 52 篇 生物医学工程（可授...
- 49 篇 仪器科学与技术
- 38 篇 机械工程
- 36 篇 光学工程
- 28 篇 电子科学与技术（可...
- 28 篇 化学工程与技术
- 28 篇 石油与天然气工程
- 27 篇 航空宇航科学与技...
467 篇 理学
- 219 篇 物理学
- 142 篇 数学
- 72 篇 生物学
- 66 篇 统计学（可授理学、...
- 28 篇 化学
- 26 篇 地球物理学
- 24 篇 系统科学
240 篇 管理学
- 136 篇 图书情报与档案管...
- 116 篇 管理科学与工程(可...
- 47 篇 工商管理
201 篇 医学
- 183 篇 临床医学
- 36 篇 基础医学(可授医学...
39 篇 法学
- 36 篇 社会学
22 篇 教育学
21 篇 艺术学
12 篇 农学
10 篇 经济学
9 篇 文学

主题

536 篇 data visualizati...
487 篇 visualization
244 篇 visual analytics
149 篇 data analysis
139 篇 data mining
75 篇 information anal...
74 篇 image color anal...
64 篇 information visu...
58 篇 navigation
55 篇 data models
53 篇 visual databases
50 篇 big data
50 篇 layout
43 篇 task analysis
43 篇 analytical model...
39 篇 user interfaces
38 篇 feature extracti...
37 篇 humans
35 篇 visual analysis
34 篇 prototypes

机构

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

作者

22 篇 keim daniel a.
19 篇 schreck tobias
14 篇 matkovic kresimi...
13 篇 hauser helwig
12 篇 bianchi serique ...
12 篇 gracanin denis
11 篇 mikael jern
10 篇 ertl thomas
10 篇 elmqvist niklas
10 篇 meiguins bianchi...
9 篇 jern mikael
9 篇 schumann heidrun
9 篇 burch michael
9 篇 qu huamin
9 篇 ma kwan-liu
9 篇 rundensteiner el...
8 篇 maciejewski ross
8 篇 ward matthew o.
8 篇 heer jeffrey
8 篇 huang mao lin

语言

2,422 篇 英文
19 篇 其他
11 篇 中文
2 篇 葡萄牙文
2 篇 俄文
1 篇 法文

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

共 2453 条记录，以下是31-40 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：

visual Analytics of Streaming data in Concept Drift Detection 11

Visual Analytics of Streaming Data in Concept Drift Detectio...

引用

11th International conference on Electrical, Electronic and Computing Engineering, IcETRAN 2024

作者： Ilic, Aleksandra Stojnev Stojanovic, Dragan University of Nis Faculty of Electronic engineering Dept. Computer Science Nis Serbia

ISBN: (纸本)9798350386998

Recent developments in sensor technology have enabled real-time data acquisition, high-frequency and multimodal data capturing thus underlying the need for monitoring physical or operational conditions in various aspects of the data. High dimensionality and volume of the data poses significant statistical challenges creating a need for accurate concept drift detection and prompt responses, a task that can be performed either by an algorithm or by human expert. visual analytics plays a crucial role in concept drift detection by enabling analysts to visually explore, analyze, and interpret complex data streams, facilitating real-time monitoring, decision-making, and communication with stakeholders. This paper examines the usability of radar graphs for concept drift exploration, as well as their usage in other steps of analysis. For the purpose of demonstration, a pipeline for real-time health data analysis is presented and steps are visualized using radar graphs. © 2024 IEEE.

关键词： visual analytics

来源：评论

学校读者我要写书评

暂无评论

Understanding the Forest: A visualization Tool to Support Decision Tree analysis 27

Understanding the Forest: A Visualization Tool to Support De...

引用

27th International conference on Information visualisation (iv) / 19th International conference Computer Graphics, Imaging and visualization (CGiv)

作者： Macas, Catarina Campos, Joao R. Lourenco, Nuno Univ Coimbra CISUC DEI Coimbra Portugal

ISBN: (纸本)9798350341614

Decision Trees (DTs) are one of the most widely used supervised Machine Learning algorithms. The algorithm constructs binary tree data structures that partition the data into smaller segments according to different rules. Hence, DTs can be used as a learning process of finding the optimal rules to separate and classify all items of a dataset. Since the algorithm relies on a decision process similar to rule-based decisions, they are easily interpretable. However, DTs can be difficult to analyse when dealing with large datasets and/or with multiple trees, i.e. ensembles. To ease the analysis and validation of these models, we developed a visual tool which includes a set of visualizations that overview and give details of a set of trees. Our tool aims to provide different perspectives over the same data and provide further insights on how decisions are being made. In this article, we overview our design process, present the different visualization models and their iterative validation. We present a use case in the telecommunications domain. In concrete, we use the visual tool to help understand how a model based on DTs decides which is the best channel (i.e., phonecall, e-mail, SMS) to contact a client.

关键词： visual Analytics Random Forest Decision Tree

来源：评论

学校读者我要写书评

暂无评论

Construction of quantitative prediction model of metal mineral resources based on big data mining 3

Construction of quantitative prediction model of metal miner...

引用

3rd International conference on Computer Technology, Information Engineering, and Electron Materials, CTIEEM 2023

作者： Fu, Taiyu Chongqing Test Center of Geology and Minerals Chongqing400042 China

ISBN: (纸本)9781510672925

With the vigorous development of big data technology, the application of data mining program to complete quantitative prediction and evaluation of mineral resources has become a new trend in the development of mineral exploration industry and an important way to promote the digital transformation of traditional prospecting technology. In this regard, this paper will combine geological theory analysis and data mining algorithm to build a quantitative prediction model of metal mineral resources, realize the analysis, processing and visual interpretation of deep geoscience data, and provide necessary data science support for actual mineral exploration. The prediction model takes the machine learning algorithm as the core, and relies on the class libraries such as Numpy, Pandas and Sklearn in Python environment to complete the development and training. Combined with the spatial attribute database in ArcGIS, the prediction elements and importance evaluation indicators are obtained, and the final quantitative prediction results are obtained, and the result evaluation is completed. Practice has proved that the quantitative prediction model of mineral resources based on machine learning algorithm has high prediction accuracy, and the visual results can clearly show the high probability mineral resources areas, which has high practical promotion value. © 2024 SPIE.

关键词： Minerals

来源：评论

学校读者我要写书评

暂无评论

Using Polymorphic Glyphs to Support the visual exploration of Hierarchical Spatio-Temporal data 19th

Using Polymorphic Glyphs to Support the Visual Exploration o...

引用

19th International-Federation-for-Information-Processing-Technical-Committee-13 (IFIP TC13) International conference on Human-Computer Interaction (INTERACT)

作者： Menin, Aline Ayari, Hadil Michel, Franck Winckler, Marco Univ Cote Azur I3S INRIA SPARKS Wimm Team Paris France

ISBN: (纸本)9783031422928;9783031422935

Studying spatio-temporal data is essential to understand the processes of the real world. However, the design of effective visualizations to explore spatio-temporal data is not a straightforward task due to the inherent multidimensional aspects of the data. In this paper, we explore the usage of polymorphous glyphs (i.e. glyphs that change shapes according to the context) to support the exploration of multiple hierarchical levels and dimensions of the data. We implemented our approach in the form of a web-based visualization interface that we demonstrate through a case study of the ISSA KG, which describes scientific publications in the field of agriculture, thus supporting domain experts on investigating where, when and how different crops are cultivated.

关键词： Information visualization Polymorphous glyphs Linked data visualization Spatio-temporal visualization

来源：评论

学校读者我要写书评

暂无评论

Automated data exploration and analysis 41st

Automated Data Exploration and Analysis

引用

41st Computer Graphics International conference, CGI 2024

作者： Wu, Tong Wang, Song Peng, Xin School of Computer Science and Technology Southwest University of Science and Technology Mianyang China

ISBN: (纸本)9783031820205

The paper presents a recommender algorithm for visual analysis based on data field Schema and Aggregation, and developed an automated data analysis solution recommendation system (AutoEDA) in conjunction with the Exploratory data analysis process (EDA). To address the issue of field type recognition, we designed a dynamic field recognition framework combining four classification models to automatically classify data field types. For the evaluation of analysis strategies, we proposed an analysis strategy evaluation method based on the Chart Attribute Length for designing custom search strategies and defining chart matching rules. Finally, through interactive visual backtracking and the functionality of modifying and tracing analysis solutions, we collaborated with data analysts of varying experience levels, and validated the effectiveness and feasibility of the proposed solution with structured data from publicly available websites. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： data aggregation

来源：评论

学校读者我要写书评

暂无评论

Weedle: Composable Dashboard for data-Centric NLP in Computational Notebooks

Weedle: Composable Dashboard for Data-Centric NLP in Computa...

引用

32nd World Wide Web conference (WWW)

作者： Kwon, Nahyun Kim, Hannah Rahman, Sajjadur Zhang, Dan Hruschka, Estevam Texas A&M Univ College Stn TX 77834 USA Megagon Labs Mountain View CA USA

ISBN: (纸本)9781450394161

data-centric NLP is a highly iterative process requiring careful exploration of text data throughout entire model development life-cycle. Unfortunately, existing data exploration tools are not suitable to support data-centric NLP because of workfow discontinuity and lack of support for unstructured text. In response, we propose Weedle, a seamless and customizable exploratory text analysis system for data-centric NLP. Weedle is equipped with built-in text transformation operations and a suite of visual analysis features. With its widget, users can compose customizable dashboards interactively and programmatically in computational notebooks.

关键词： exploratory data analysis computational notebooks

来源：评论

学校读者我要写书评

暂无评论

Motion Blur Impact on Measurement in Autonomous Inspection 20

Motion Blur Impact on Measurement in Autonomous Inspection

引用

20th IEEE/ASME International conference on Mechatronic and Embedded Systems and Applications (MESA)

作者： Jose, Nahuel Marchello, Gabriele Cannella, Ferdinando Italian Inst Technol Genoa Italy

ISBN: (纸本)9798331516246;9798331516239

This paper investigates the application of mobile robotic platforms for visual data capture in infrastructure inspection tasks. The captured data offer significant value for both manual and automated inspection processes. It can produce detailed visual information for human inspectors and serve as input for automated systems to detect anomalies or assist inspectors through computer-aided analysis. Additionally, these data can be integrated into the robot navigation system for real-time path optimisation. A critical challenge in optimising data capture is highlighted: balancing the desired precision with the time invested in inspections. The study explores this tradeoff by analysing the impact of motion blur on measurement errors. Capturing high-quality images with minimal motion blur necessitates slower inspection speeds. The findings suggest that for extensive inspection areas, prioritising mid-range object distances can optimise data capture, as errors increase at a slower pace at these distances compared to closer or farther ranges. This research paves the way for further advancements. Future areas of exploration include evaluating noise reduction techniques, incorporating real-world complexities into testing environments, and investigating the impact of capture speed on machine learning algorithms.

关键词： Image quality assessment video quality assessment monitoring of structures visual inspection motion blur assessment structural health monitoring (SHM)

来源：评论

学校读者我要写书评

暂无评论

visual Analytics for Forecasting Technological Trends from Text 27

Visual Analytics for Forecasting Technological Trends from T...

引用

27th International conference on Information visualisation (iv) / 19th International conference Computer Graphics, Imaging and visualization (CGiv)

作者： Secco, Cristian A. Sina, Lennart B. Blazevic, Midhad Nazemi, Kawa Darmstadt Univ Appl Sci Human Comp Interact & Visual Analyt Darmstadt Germany

ISBN: (纸本)9798350341614

Knowledge of emerging and declining trends and their potential future course is highly relevant in many application domains, particularly in corporate strategy and foresight. The early awareness of trends allows reacting to market, political, and societal changes and challenges at an appropriate time. In our previous works, we presented approaches for the early identification and analysis of emerging trends. Although our previous approaches are detecting emerging trends appropriately, they lack the ability to predict the potential future course of a trend or technology. We present in this work a novel visual Analytics approach for forecasting emerging trends that combines interactive visualizations with machine learning techniques and statistical approaches to detect, analyze, and predict trends from textual data. We extend our previous work on analyzing technological trends from text and propose an advanced approach that includes forecasting through hybrid techniques consisting of neural networks and established statistical methods. Our approach offers insights from enormous data sets and the potential future course of trends based on their occurrence in textual data. We contribute with a novel approach for identifying and forecasting trends, a hybrid forecasting method to predict trends from text, and interactive visualization techniques on macro level, micro level, and monitoring topics of interest.

关键词： visual Analytics emerging trends trend detection trend forecasting machine learning neural network hybrid prediction

来源：评论

学校读者我要写书评

暂无评论

Navigating data Repositories: Utilizing Line Charts to Discover Relevant datasets 50th

Navigating Data Repositories: Utilizing Line Charts to Disco...

引用

50th International conference on Very Large data Bases, VLDB 2024

作者： Ji, Daomin Luo, Hui Bao, Zhifeng Culpepper, Shane RMIT University Australia University of Wollongong Australia The University of Queensland Australia

Line charts are fundamental to data analysis and exploration, offering concise visual representations of trends. However, gaining access to the underlying data used to construct these charts is often challenging. In this paper, we describe DDLC (short for dataset discovery via line charts), an automatic dataset discovery tool that is able to not only identify datasets (from a dataset repository) that are "relevant" to the information depicted from a line chart provided by the users, but also empower users to refine search results based on specific visual elements extracted from the line chart. Moreover, DDLC offers multiple avenues for users to validate search outcomes: 1) Providing explanations on how a similar line chart could be generated from the identified dataset;2) enabling comparison of line charts generated from different datasets via different ways (e.g., the aggregation vs. non-aggregation operator);3) facilitating fine-grained examination of the correspondence between the line chart and the identified dataset. By seamlessly combining dataset retrieval with visual refinement and validation mechanisms, DDLC offers a comprehensive solution for the data-driven exploration and analysis. © 2024, VLDB Endowment. All rights reserved.

关键词： data aggregation

来源：评论

学校读者我要写书评

暂无评论

visualization Tool for Comparative analysis of Seabird Movement data 26

Visualization Tool for Comparative Analysis of Seabird Movem...

引用

26th International conference Information visualisation (iv)

作者： Onuki, Tomoya Misue, Kazuo Univ Tsukuba Ibaraki Japan

ISBN: (纸本)9781665490078

Seabirds have varied movement patterns depending on their group, nesting site, or season. Therefore, seabird experts need to compare movement data under various conditions for conservation and elucidation of ecology. visualization of movement data helps intuitive analysis. However, it is not easy for seabird experts to design suitable visual representations for comparison. The purpose of our study is to develop a tool to support the visualization process for comparison of seabird movement. There are three components to visualization techniques for comparison: Juxtaposition, Superposition, and Explicit Encodings. In our study, we aim to support comparative analysis under complex conditions using flexible Small Multiples based on juxtaposition and superposition. We designed visual representations for the comparative analysis of seabird movement data. We implemented such visual representations into a tool and confirmed its effectiveness for comparative analysis of seabird movement data.

关键词： visual analytics movement data trajectories

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246页 << < 1 2 3 4 5 6 7 8 9 10 > >>

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：