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

191 篇 会议
3 册 图书
1 篇 期刊文献

馆藏范围

195 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

122 篇 工学
- 116 篇 计算机科学与技术...
- 71 篇 软件工程
- 17 篇 电气工程
- 16 篇 信息与通信工程
- 10 篇 生物医学工程（可授...
- 7 篇 控制科学与工程
- 7 篇 生物工程
- 6 篇 机械工程
- 5 篇 化学工程与技术
- 5 篇 农业工程
- 4 篇 安全科学与工程
- 3 篇 材料科学与工程（可...
- 3 篇 冶金工程
- 3 篇 动力工程及工程热...
36 篇 理学
- 19 篇 数学
- 8 篇 生物学
- 5 篇 物理学
- 5 篇 统计学（可授理学、...
- 4 篇 化学
- 4 篇 系统科学
- 3 篇 大气科学
27 篇 管理学
- 17 篇 管理科学与工程(可...
- 13 篇 图书情报与档案管...
- 10 篇 工商管理
17 篇 医学
- 15 篇 临床医学
- 14 篇 基础医学(可授医学...
- 10 篇 药学(可授医学、理...
5 篇 农学
- 5 篇 作物学
3 篇 经济学
- 3 篇 应用经济学
3 篇 法学
- 3 篇 社会学

主题

50 篇 data mining
16 篇 big data
9 篇 machine learning
8 篇 data models
7 篇 feature extracti...
6 篇 internet of thin...
5 篇 clustering
5 篇 support vector m...
5 篇 task analysis
5 篇 computational mo...
5 篇 data stream mini...
4 篇 mapreduce
4 篇 real-time system...
4 篇 decision trees
4 篇 stream processin...
4 篇 sentiment analys...
4 篇 artificial intel...
4 篇 data visualizati...
4 篇 training
3 篇 natural language...

机构

3 篇 ivan franko nati...
3 篇 lviv polytechnic...
2 篇 school of comput...
2 篇 taras shevchenko...
2 篇 college of infor...
2 篇 air force early-...
2 篇 sichuan universi...
2 篇 qinghai normal u...
2 篇 lviv state unive...
2 篇 lviv state unive...
2 篇 sun yat-sen univ...
2 篇 shanghai urban c...
2 篇 kharkiv national...
2 篇 lviv polytechnic...
2 篇 school of lanzho...
2 篇 universitas indo...
1 篇 lviv polytechnic...
1 篇 college of envir...
1 篇 univ sci & techn...
1 篇 dnipro universit...

作者

3 篇 chyrun lyubomyr
3 篇 malets igor
3 篇 berko andrii
3 篇 pelekh irina
3 篇 martyn yevgen
3 篇 smotr olga
2 篇 dyyak ivan
2 篇 petrus mursanto
2 篇 klyushin dmitriy
2 篇 yogita
2 篇 burak nazarii
2 篇 meniailov ievgen
2 篇 shukla madhu
2 篇 mei qingling
2 篇 prydatko oleksan...
2 篇 ari wibisono
2 篇 bodyanskiy yevge...
2 篇 jihan adibah
2 篇 martynenko irina
2 篇 chumachenko dmyt...

语言

194 篇 英文
1 篇 中文

检索条件"任意字段=3rd International Conference on Data Stream and Mining and Processing, DSMP 2020"

共 195 条记录，以下是11-20 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：

Nonparametric test for change-point detection in data stream 3

Nonparametric test for change-point detection in data stream

引用

3rd IEEE international conference on data stream mining and processing, dsmp 2020

作者： Klyushin, Dmitriy Martynenko, Irina Shevchenko National University of Kyiv Department of Computer Science and Cybernetics Taras Kyiv Ukraine

ISBN: (纸本)9781728132143

We offer a new effective online algorithm for implement the Klyushin-Petunin test on streaming data. The Klyushin-Petunin test is a nonparametric test to evaluate the statistical hypothesis that two samples are drawn from the same distribution. The significance level of the test does not exceed 0.05. The test is based on the only assumption that the underlying distribution is absolutely continuous. We present an algorithm for detecting a change in distribution in a data stream. It allows solving two canonical problems of analyzing statistical data - detection of a change-point and detection of a drift of concepts. We show that proposed algorithm is more effective compared to the alternative Kolmogorov-Smirnov and Wilcoxon tests. © 2020 IEEE.

关键词： Computational complexity

来源：评论

学校读者我要写书评

暂无评论

Application of ontologies and meta-models for dynamic integration of weakly structured data 3

Application of ontologies and meta-models for dynamic integr...

引用

3rd IEEE international conference on data stream mining and processing, dsmp 2020

作者： Berko, Andrii Pelekh, Irina Chyrun, Liliya Bublyk, Myroslava Bobyk, Ihor Matseliukh, Yurii Chyrun, Lyubomyr Lviv Polytechnic National University Lviv Ukraine Ivan Franko National University of Lviv Programming Department Lviv Ukraine

ISBN: (纸本)9781728132143

The possibilities of using ontologies and meta-models to create a system of dynamic integration of weakly structured data are considered. The process of transformation of weakly structured data into structured information is described. Dynamic integration of weakly structured data at different levels of complexity: physical, logical, and global is considered. The operation principles of the Universal browser for dynamic integration of weakly structured data are proposed to be applied when creating various web-systems. © 2020 IEEE.

关键词： Ontology

来源：评论

学校读者我要写书评

暂无评论

The fast image recognition system based on neuro-fuzzy units and its online learning for data stream mining tasks 3

The fast image recognition system based on neuro-fuzzy units...

引用

3rd IEEE international conference on data stream mining and processing, dsmp 2020

作者： Kulishova, Nonna Bodyanskiy, Yevgeniy Timofeyev, Volodymyr Kharkiv National University of Radioelectronics Media Systems and Technologies Department Kharkiv Ukraine Kharkiv National University of Radioelectronics Control Systems Research Laboratory Kharkiv Ukraine Kharkiv National University of Urban Economy Department of Information Technologies Kharkiv Ukraine

ISBN: (纸本)9781728132143

In recent years, the need for real-time pattern recognition applications has sharply increased. Along with deep and probabilistic neural networks, hybrid architectures such as neo-fuzzy networks and networks based on neo-fuzzy units turned out to be quite effective for solving this problem. In this paper, we consider the task of developing an architecture and a learning algorithm for a real-time pattern recognition system built on neo-fuzzy units. The objective function based on cross-entropy allows formulating a learning criterion that provides a high learning rate. © 2020 IEEE.

关键词： Image recognition

来源：评论

学校读者我要写书评

暂无评论

Online reduced-order kernel regression for data processing in sensor network 3

Online reduced-order kernel regression for data processing i...

引用

3rd IEEE international conference on data stream mining and processing, dsmp 2020

作者： Lyubchyk, Leonid Kostiuk, Olga National Technical University Kharkiv Polytechnic Institute Computer Mathematics and Data Analysis Dept Kharkiv Ukraine

ISBN: (纸本)9781728132143

Online data processing in sensor networks problem is of particular relevance in connection with the widespread use of such systems for restoring physical fields from local measurements, for example, in environmental monitoring systems. In order to reduce model dimensionality, clustering of sensors net is carried out previously. In this paper, we consider the problem of restore fields of complex structure using data from sensor network. Nonlinear distributed regression kernel-based method is applied using sequential regularization based on optimal estimates concordance. A generalization of this approach to non-stationary case is also considered, for which recurrent regularized kernel-based learning algorithms are proposed, using both moving average and sliding window approaches. © 2020 IEEE.

关键词： E-learning

来源：评论

学校读者我要写书评

暂无评论

Determination of heart disease based on analysis of patient statistics using the fuzzy C-means clustering algorithm 3

Determination of heart disease based on analysis of patient ...

引用

3rd IEEE international conference on data stream mining and processing, dsmp 2020

作者： Meniailov, Ievgen Chumachenko, Dmytro Bazilevych, Ksenia National Aerospace University Kharkiv Aviation Institute Mathematical Modeling and Artificial Intelligence Department Kharkiv Ukraine

ISBN: (纸本)9781728132143

The statistical characteristics of patients have a great influence on determining the likelihood of heart disease. To determine the disease in medical diagnostics, statistical methods are most often used data mining, which with large amounts of information and complex relationships can give more accurate estimates, especially with a large number of similar characteristics. In this paper, we consider the task of clustering data to determine the likelihood of heart disease for patients with similar characteristics. To solve the problem, the Fuzzy C-means method with normalization was used, and Python and the Pandas library were chosen to implement the algorithm. The developed software module allows visualization of the algorithm. This system also supports downloading and uploading data with the service according to safety requirements of data. © 2020 IEEE.

关键词： data mining

来源：评论

学校读者我要写书评

暂无评论

Information resources analysis system of dynamic integration semi-structured data in a web environment 3

Information resources analysis system of dynamic integration...

引用

3rd IEEE international conference on data stream mining and processing, dsmp 2020

作者： Berko, Andrii Pelekh, Irina Chyrun, Lyubomyr Dyyak, Ivan Lviv Polytechnic National University Information Systems and Networks Department Lviv Ukraine Ivan Franko National University of Lviv Programming Department Lviv Ukraine

ISBN: (纸本)9781728132143

The article describes the procedure for analyzing information resources of the system of dynamic integration of weakly structured data in the web-environment to determine the common features of information resources and identify links between them. Model-based shared resource definitions and language describing the rules of access to resources, examines the process of creating an object adapter defining the common features of the information resources and identify relationships between them using the rules of the method of "black box". The process of determining the structural-dynamic model of the domain Mashup-application is described. © 2020 IEEE.

关键词： Integration

来源：评论

学校读者我要写书评

暂无评论

Online Prediction of Aggregated Retailer Consumer Behaviour 3rd

Online Prediction of Aggregated Retailer Consumer Behaviour

引用

3rd international conference on Process mining (ICPM)

作者： Spenrath, Yorick Hassani, Marwan van Dongen, Boudewijn F. Eindhoven Univ Technol Eindhoven Netherlands

ISBN: (纸本)9783030985813;9783030985806

Predicting the behaviour of consumers provides valuable information for retailers, such as the expected spend of a consumer or the total turnover of the retailer. The ability to make predictions on an individual level is useful, as it allows retailers to accurately perform targeted marketing. However, with the expected large number of consumers and their diverse behaviour, making accurate predictions on an individual consumer level is difficult. In this paper we present a framework that focuses on this trade-off in an online setting. By making predictions on a larger number of consumers at a time, we improve the predictive accuracy but at the cost of usefulness, as we can say less about the individual consumers. The framework is developed in an online setting, where we update the prediction model and make new predictions over time. We show the existence of the trade-off in an experimental evaluation on a real-world dataset consisting of 39 weeks of transaction data.

关键词： Consumer Behaviour stream Analysis Clustering

来源：评论

学校读者我要写书评

暂无评论

The steganographic approach to data protection using arnold algorithm and the pixel-value differencing method 3

The steganographic approach to data protection using arnold ...

引用

3rd IEEE international conference on data stream mining and processing, dsmp 2020

作者： Kukharska, Nataliia Lagun, Andrii Polotai, Orest Lviv State University of Life Safety Department of Information Security Management Lviv Ukraine Lviv Polytechnic National Universiy Department of Information Systems and Technologies Lviv Ukraine

ISBN: (纸本)9781728132143

Steganographic data transformation is an effective means of ensuring the confidentiality and integrity of information resources, so developing the methods for improving the reliability and authenticity of steganographic systems is a promising research area. In the article we propose two approaches for embedding secret information into a BMP image by changing the difference between its pixel values. Both approaches involve the prior use (before embedding additional information) of Arnold's transformation to rearrange the pixels of the image. In the first approach, the Arnold transform is applied to the entire color matrix of the image, in the second - the image matrix is broken into blocks, and then twice do the Arnold transformation: to change the order of the blocks themselves and the sequence of pixels inside blocks. As a result, the pixels with the embedded information will be located in the image chaotically and evenly. The application of developed algorithms does not change the visual image quality, but complicates the fact of hidden information detection. © 2020 IEEE.

关键词： Pixels

来源：评论

学校读者我要写书评

暂无评论

Informational graphic technologies for fire safety level determination in special purpose buildings 3

Informational graphic technologies for fire safety level det...

引用

3rd IEEE international conference on data stream mining and processing, dsmp 2020

作者： Martyn, Yevgen Smotr, Olga Burak, Nazarii Prydatko, Oleksandr Malets, Igor Lviv State University of Life Safety Department of Project Management Information Technologies and Telecommunications Lviv Ukraine

ISBN: (纸本)9781728132143

The article deals with the problem of public awareness about existing special purpose buildings such as protective buildings and shelters that can be used to protect against emergencies. The status update on the problem is considered. During research were analyzed recent scientific papers in the field of modern information technologies integration into civil protection system. The necessity of using modern informational graphic technologies for fire safety level determination in such type of shelters was substantiated. The features of actual data visualization with the involvement of mathematical transformations and methods of visual information graphing are investigated. Based on the offered methods of visualization graphics information has been developed software emulator "Fireware Emulator". It can be used for fire safety level determination in buildings of such type. © 2020 IEEE.

关键词： data visualization

来源：评论

学校读者我要写书评

暂无评论

Training neural network over encrypted data 3

Training neural network over encrypted data

引用

3rd IEEE international conference on data stream mining and processing, dsmp 2020

作者： Molek, Vojtech Hurtik, Petr University of Ostrava Institute for Research and Applications of Fuzzy Modeling Centre of Excellence IT4Innovations Ostrava Czech Republic

ISBN: (纸本)9781728132143

We are answering the question whenever systems with convolutional neural network classifier trained over plain and encrypted data keep the ordering according to accuracy. Our motivation is need for designing convolutional neural network classifiers when data in their plain form are not accessible because of private company policy or sensitive data gathered by police. We propose to use a combination of fully connected autoencoder together with a convolutional neural network classifier. The autoencoder transforms the data info form that allows the convolutional classifier to be trained. We present three experiments that show the ordering of systems over plain and encrypted data. The results show that the systems indeed keep the ordering, and thus a NN designer can select appropriate architecture over encrypted data and later let data owner train or fine-tune the system/CNN classifier on the plain data. © 2020 IEEE.

关键词： Image classification

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20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：