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

509 篇 会议
29 篇 期刊文献
2 册 图书

馆藏范围

540 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

352 篇 工学
- 283 篇 计算机科学与技术...
- 141 篇 软件工程
- 40 篇 电气工程
- 27 篇 信息与通信工程
- 14 篇 力学（可授工学、理...
- 14 篇 建筑学
- 13 篇 仪器科学与技术
- 13 篇 土木工程
- 12 篇 电子科学与技术（可...
- 12 篇 控制科学与工程
- 11 篇 化学工程与技术
- 9 篇 生物医学工程（可授...
- 9 篇 生物工程
- 8 篇 机械工程
- 7 篇 光学工程
- 7 篇 动力工程及工程热...
- 6 篇 环境科学与工程（可...
90 篇 理学
- 49 篇 数学
- 21 篇 物理学
- 18 篇 统计学（可授理学、...
- 16 篇 生物学
- 6 篇 化学
- 6 篇 海洋科学
- 6 篇 系统科学
54 篇 管理学
- 35 篇 图书情报与档案管...
- 26 篇 管理科学与工程(可...
- 17 篇 工商管理
27 篇 医学
- 19 篇 临床医学
- 12 篇 基础医学(可授医学...
12 篇 教育学
- 9 篇 教育学
5 篇 法学
4 篇 文学
2 篇 农学
1 篇 经济学

主题

83 篇 visualization
71 篇 data visualizati...
39 篇 data mining
24 篇 data analysis
23 篇 big data
15 篇 visual analytics
15 篇 algorithm design...
15 篇 image color anal...
15 篇 training
12 篇 three-dimensiona...
11 篇 performance anal...
11 篇 feature extracti...
11 篇 software
11 篇 data models
10 篇 tools
10 篇 human-centered c...
10 篇 computational mo...
9 篇 computer archite...
9 篇 dimensionality r...
9 篇 analytical model...

机构

4 篇 northern illinoi...
4 篇 argonne natl lab...
4 篇 northern illinoi...
4 篇 argonne national...
3 篇 deutsches klimar...
3 篇 lawrence berkele...
3 篇 nvidia
3 篇 univ illinois il...
3 篇 ohio state univ ...
3 篇 leipzig universi...
2 篇 academy of scien...
2 篇 uva
2 篇 penn state univ ...
2 篇 univ konstanz co...
2 篇 utah state univ ...
2 篇 twitter 1355 mar...
2 篇 beijing forestry...
2 篇 aalto univ sch s...
2 篇 university of ca...
2 篇 univ waikato cyb...

作者

5 篇 papka michael e.
5 篇 insley joseph a.
4 篇 michael e. papka
4 篇 silvio rizzi
4 篇 mateevitsi victo...
4 篇 agrawal gagan
4 篇 victor a. mateev...
4 篇 rizzi silvio
3 篇 joseph a. insley
3 篇 jefferson amstut...
3 篇 yang juncheng
3 篇 rashmi k. v
3 篇 yue yao
3 篇 amstutz jefferso...
3 篇 burch michael
2 篇 andres sewell
2 篇 castro miguel ra...
2 篇 park cheol woo
2 篇 lessley brenton
2 篇 li jin

语言

528 篇 英文
6 篇 其他
4 篇 葡萄牙文
2 篇 中文
1 篇 意大利文

检索条件"任意字段=14th Symposium on Large Data Analysis and Visualization"

共 540 条记录，以下是61-70 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：

Knowledge discovery and framework for purchase behavior analysis in mobile gaming applications 14

Knowledge discovery and framework for purchase behavior anal...

引用

14th IADIS International Conference Computer Graphics, visualization, Computer Vision and Image Processing 2020, CGVCVIP 2020 and 5th IADIS International Conference Big data Analytics, data Mining and Computational Intelligence 2020, BigDaCI 2020 and 9th IADIS International Conference theory and Practice in Modern Computing 2020, TPMC 2020, Part of the 14th Multi Conference on Computer Science and Information Systems, MCCSIS 2020

作者： Jansevskis, Martins Osis, Kaspars Faculty of Engineering Vidzeme University of Applied Sciences Valmiera Latvia

ISBN: (纸本)9789898704214

the gaming industry is a fast expanding industry with a large global market and is projected to hit $300 billion by 2025. the total number of players in 2019 was projected to hit 2.4 billion (Taylor, 2019). Knowledge discovery is achieved by collecting and analyzing data from within the gaming applications. the data collected is used to understand players, gain insights and to improve products for the gaming community based on feedback and user interaction. And as a result, obtained knowledge contributes to monetization in a way that is especially interesting in the e-sports and streaming space. Machine learning is one of the technologies that can assist in knowledge discovery as it provides potential to obtain insights into previously overlooked data. this paper provides insight in a work of how machine learning algorithms are applied to gain behavior understanding whithin mobile gaming applications in a way compliant with European General data Protection Regulation (GDPR). the paper is a part of a larger research work and contributes to the domain of knowledge discovery within in-app purchase behavior data and serves as a step towards further research in this area. © Proceedings of the 14th IADIS International Conference Computer Graphics, visualization, Computer Vision and Image Processing 2020, CGVCVIP 2020 and Proceedings of the 5th IADIS International Conference Big data Analytics, data Mining and Computational Intelligence 2020, BigDaCI 2020 and Proceedings of the 9th IADIS International Conference theory and Practice in Modern Computing 2020, TPMC 2020 - Part of the 14th Multi Conference on Computer Science and Information Systems, MCCSIS 2020. All rights reserved.

关键词： data mining

来源：评论

学校读者我要写书评

暂无评论

Too many Markers, revisited An empirical analysis of web-based methods for overcoming the problem of too many markers in zoomable mapping applications 14

Too many Markers, revisited An empirical analysis of web-bas...

引用

14th International Conference on Computational Science and Its Applications (ICCSA)

作者： Meier, Sebastian Heidmann, Frank Univ Appl Sci Potsdam Interface Design Potsdam Germany

ISBN: (纸本)9781479942640

the growing amount of available data is creating a need for mass-data visualizations in many areas. the mapping of large spatial data sets is not only of interest for experts anymore but moves into the domain of public applications with regard to the latest advances in web cartography. this creates a need for usable and understandable interactive techniques that allow the visualization and exploration of large spatial data sets. In a series of experiments we look at a variety of technologies aiming at overcoming the obstacle of displaying large spatial datasets in interactive mapping applications. In this short paper we will present our ongoing research on the methods of Marker Clusters, Heatmaps and Tiled Heatmaps as well as a quantitative and qualitative empirical evaluations of the performance of each of these methods. We conclude with what we think should be a new direction for further research in this area.

关键词： Geovisualization maps web study marker cluster heatmap

来源：评论

学校读者我要写书评

暂无评论

Interactive 3D visualization for Monitoring and analysis of Geographical Traffic data of Various Domains 14th

Interactive 3D Visualization for Monitoring and Analysis of ...

引用

14th International symposium on Visual Computing (ISVC)

作者： Rodin, Daniil Shmueli, Oded Elber, Gershon Technion Haifa Israel

ISBN: (纸本)9783030337209;9783030337193

Visual interactive tools are of great importance for monitoring and analysis of geographical data, and, in particular, traffic data. Substantial research effort goes into visualization techniques of various kinds of geography-bound traffic data. Unfortunately, such techniques are very domain-specific and often lack useful features. We propose an interactive visualization system for monitoring and analyzing traffic data on a 3D globe. Our system is general and can be transparently used in different domains, which we examplify by two simulated demonstrations of use cases: Logistic Service and data Communication. Using these examples, we show that our approach is more general than the current state of the art, and that there are significant similarities between several domains in need of interactive visualization, which are mostly treated as completely separate.

关键词： Geovisualization Transport visualization Network visualization Visual analysis

来源：评论

学校读者我要写书评

暂无评论

Dimensionality reduction based similarity visualization for neural gas 14

Dimensionality reduction based similarity visualization for ...

引用

14th IEEE International Conference on data Mining (IEEE ICDM)

作者： Tasdemir, Kadim Antalya Int Univ Dosemealti Dept Comp Engn Antalya Turkey

ISBN: (纸本)9781479942749

Two commonly used neural networks for vector quantization based analysis of high-dimensional large datasets are the self-organizing map (SOM) and neural gas (NG). Owing to their rigid grid structure, SOMs are widely used for data visualization, whereas NG based visualization has been limited, despite the fact that NG can achieve better quantization than SOMs in terms of quantization error. As a visualization tool for NG, we propose to use a recent projection technique tSNE (which depends on stochastic neighbor embedding using student t-distribution). t-SNE projection of NG will construct a low-dimensional space where local similarities of high-dimensional data space are preserved to a great extent. In addition, this enables the use of CONNvis (a topology-based visualization for SOMs) to represent the data space similarities on the low-dimensional projection space. Experiments on the synthetic and real datasets show that the proposed NG visualization based on t-SNE and enhanced with CONNvis is helpful for interactive analysis of high-dimensional large datasets.

关键词： data visualization similarity visualization t-SNE dimensionality reduction neural gas connectivity

来源：评论

学校读者我要写书评

暂无评论

Image descriptors analysis supported by Information visualization with application in automatic classification 18

Image descriptors analysis supported by Information Visualiz...

引用

14th Brazilian symposium on Information Systems (SBSI)

作者： Mendes, Gilson Paiva, Jose Gustavo S. Univ Fed Uberlandia Fac Comp Uberlandia MG Brazil

ISBN: (纸本)9781450365598

Automatic image classification strongly depends on image representation, commonly made using visual descriptors. Several works compare the variety of the available ones, aiming to guide analysts in which one to choose for each scenario, but they consider only numerical accuracy results, which may limit the understanding of reasons for these performance differences. this paper employs Neighbor Joining similarity trees to visually analyze three image descriptors, focusing on their application in an automatic classification scenario. the results demonstrated that these trees provide means to comprehend important information about the descriptors, such as how they describe images characteristics, which image aspects they focus in the representation, and which criteria they consider to distinguish images into different classes, revealing their strengths and limitations regarding the representation of a specific categorization scheme. We believe such analysis may help specialists to better choose which descriptor is adequate to be used in this data mining task.

关键词： Information visualization Similarity Trees Visual Classification Image Descriptor analysis

来源：评论

学校读者我要写书评

暂无评论

Propagate and Pair: A Single-Pass Approach to Critical Point Pairing in Reeb Graphs 14th

Propagate and Pair: A Single-Pass Approach to Critical Point...

引用

14th International symposium on Visual Computing (ISVC)

作者： Tu, Junyi Hajij, Mustafa Rosen, Paul Univ S Florida Tampa FL 33620 USA Ohio State Univ Columbus OH 43210 USA

ISBN: (纸本)9783030337209;9783030337193

With the popularization of Topological data analysis, the Reeb graph has found new applications as a summarization technique in the analysis and visualization of large and complex data, whose usefulness extends beyond just the graph itself. Pairing critical points enables forming topological fingerprints, known as persistence diagrams, that provides insights into the structure and noise in data. Although the body of work addressing the efficient calculation of Reeb graphs is large, the literature on pairing is limited. In this paper, we discuss two algorithmic approaches for pairing critical points in Reeb graphs, first a multipass approach, followed by a new single-pass algorithm, called Propagate and Pair.

关键词： Topological data analysis Reeb graph Critical point pairing

来源：评论

学校读者我要写书评

暂无评论

analysis of large-scale electric vehicles charging behavior using data visualization 14

Analysis of large-scale electric vehicles charging behavior ...

引用

14th IEEE International Conference on Networking, Sensing and Control (ICNSC)

作者： Lin Xiqiao Yang Zhou Guangxi Elect Res Inst Smart Grid & DSM Res Dept Nanning Peoples R China Guangxi Elect Res Inst Ctr Measurement Nanning Peoples R China

ISBN: (纸本)9781509044290

Recently, more and more countries decided to develop electric vehicles especially electric car. However, because of low prices and other issues, electric bicycles have become the most popular electric transportation vehicles in many developing countries. For example, there are more than 210 million electric bicycles in China. large-scale electric bicycle charging demand from time to space will not only has an impact on power distribution grid, but also has demand side management (DSM) value. In this paper, we introduced a method for estimating the real-time charging load for electric bicycles. then we visualized demand in space using heat map and power density node. the numerical results illustrate that large-scale electric bicycle charging demand not only has a great peak-valley but also exhibits unbalance in space.

关键词： electric bicycles demand side management heat map data visualization

来源：评论

学校读者我要写书评

暂无评论

Stem & Leaf Plots Extended for Text visualizations

Stem & Leaf Plots Extended for Text Visualizations

引用

14th International Conference on Computer Graphics, Imaging and visualization (CGiV)

作者： Brath, Richard Banissi, Ebad London South Bank Univ Comp Sci & Informat Toronto ON Canada Uncharted Software Toronto ON Canada London South Bank Univ Comp Sci & Informat London England

ISBN: (纸本)9781538608524

Stem and leaf plots are data dense visualizations that organize large amounts of micro-level numeric data to form larger macro-level visual distributions. these plots can be extended with font attributes and different token lengths for new applications such as n-grams analysis, character attributes, set analysis and text repetition.

关键词： stem & leaf text visualization exploratory data analysis

来源：评论

学校读者我要写书评

暂无评论

A Multi-sensor Process for In-Situ Monitoring of Water Pollution in Rivers or Lakes for High-Resolution Quantitative and Qualitative Water Quality data 19

A Multi-sensor Process for In-Situ Monitoring of Water Pollu...

引用

19th IEEE International Conference on Computational Science and Engineering, 14th IEEE International Conference on Embedded and Ubiquitous Computing and 15th International symposium on Distributed Computing and Applications to Business, Engineering and Science, CSE-EUC-DCABES 2016

作者： Randhawa, Sukanya Sandha, Sandeep S Srivastava, Biplav IBM Research-India Bangalore India IBM Research-Yorktown Heights Yorktown Heights United States

ISBN: (纸本)9781509035939

Sensor based environmental monitoring is beginning to gain traction given the recent advancements in sensor development technology. Sensor platforms offer several advantages in comparison to the traditional monitoring approaches based on discrete sampling methods as they offer the capability of providing high resolution data. Access to high-frequency spatial and temporal information facilitates real-time event detection or then understanding the impact of pollution to the water quality in natural water resources. In this paper, we report a multi-sensor process that we developed for in-situ monitoring of water pollution in rivers/lakes in which we acquire real-time water quality data using (a) a multiparametric sensor probe for quantitative data, (b) a crowd sensor via a mobile app for qualitative data and integrate these data onto a cloud platform i.e Bluemix which enables interactive visualization of data as Heatmap combined with geographical mapping. this type of visualization technique not only facilitates effective handling of high-resolution data but also allows large-scale data-driven inspection to identify affected/polluted zones and detection of pollution violations, thereby making it an important tool for enabling decision-making. data analysis based on clustering techniques is also presented. We compare our techniques to traditional data collection methods. Furthermore, to support our efforts in water quality monitoring, we have also developed several web-based applications that are aimed at incorporating sensing data as well as data from various other sources onto a common online platform. We demonstrate the capabilities of our tools through a case study done on Yamuna river in New Delhi where we monitor the river pollution in real-time. © 2016 IEEE.

关键词： visualization

来源：评论

学校读者我要写书评

暂无评论

data analysis of Distributed Application Platform Based on the R which Apply to Digital Library 14

Data Analysis of Distributed Application Platform Based on t...

引用

International symposium Distributed Computing and Applications Business Engineering and Science

作者： Wu, Ningbo Yang, Fan Guizhou Univ Finance & Econ Coll Informat Guiyang Peoples R China Guizhou Univ Finance & Econ Guiyang Peoples R China

ISBN: (纸本)9781467365932

Digital Library large data resource lack of analysis and use, in order to mining the value of big data resources, proposed platformization analysis and processing mode. By integrate R and Hadoop to construct distributed data analysis platform, many big data analytical can be decomposed into "large" and "small" data processing section, overcome before scheme puzzle on analytical of large dataset, improve the performance of data analysis, platform able to handle data analysis tasks.

关键词： component big data distributed data analysis

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54页 << < 3 4 5 6 7 8 9 10 11 12 > >>

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：