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

44,132 篇 会议
7,095 篇 期刊文献
14 篇 学位论文
1 篇 科技报告

馆藏范围

51,242 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

18,327 篇 工学
- 12,197 篇 计算机科学与技术...
- 5,827 篇 电气工程
- 5,645 篇 软件工程
- 3,773 篇 信息与通信工程
- 1,957 篇 控制科学与工程
- 995 篇 机械工程
- 939 篇 仪器科学与技术
- 670 篇 电子科学与技术（可...
- 532 篇 生物工程
- 473 篇 生物医学工程（可授...
- 449 篇 交通运输工程
- 339 篇 化学工程与技术
- 334 篇 动力工程及工程热...
- 323 篇 土木工程
- 318 篇 测绘科学与技术
- 262 篇 光学工程
- 210 篇 建筑学
9,232 篇 管理学
- 8,067 篇 图书情报与档案管...
- 1,762 篇 管理科学与工程(可...
- 297 篇 工商管理
5,685 篇 理学
- 3,538 篇 数学
- 1,025 篇 统计学（可授理学、...
- 834 篇 生物学
- 797 篇 物理学
- 780 篇 系统科学
- 383 篇 化学
- 237 篇 地球物理学
716 篇 医学
- 566 篇 临床医学
- 229 篇 基础医学(可授医学...
238 篇 法学
- 229 篇 社会学
206 篇 农学
201 篇 文学
100 篇 经济学
77 篇 艺术学
65 篇 教育学
29 篇 军事学
1 篇 哲学

主题

51,242 篇 clustering algor...
5,906 篇 algorithm design...
4,692 篇 partitioning alg...
4,405 篇 data mining
3,080 篇 feature extracti...
2,928 篇 image segmentati...
2,715 篇 clustering metho...
2,694 篇 wireless sensor ...
2,690 篇 computer science
2,624 篇 classification a...
2,610 篇 heuristic algori...
2,213 篇 optimization
1,812 篇 training
1,790 篇 computational mo...
1,652 篇 accuracy
1,480 篇 routing
1,451 篇 data models
1,439 篇 robustness
1,385 篇 neural networks
1,297 篇 testing

机构

66 篇 school of comput...
46 篇 state key labora...
44 篇 department of co...
38 篇 tsinghua univers...
37 篇 ibm thomas j. wa...
37 篇 microsoft resear...
34 篇 institute of inf...
34 篇 school of comput...
32 篇 college of compu...
32 篇 department of co...
31 篇 school of softwa...
31 篇 northwestern pol...
28 篇 school of comput...
28 篇 school of inform...
27 篇 school of comput...
26 篇 university of sc...
26 篇 software school ...
24 篇 school of electr...
24 篇 school of inform...
24 篇 department of el...

作者

75 篇 nie feiping
39 篇 jun wang
39 篇 jun zhang
38 篇 lei wang
38 篇 wei liu
34 篇 sriparna saha
32 篇 liu yang
32 篇 yasunori endo
29 篇 sanghamitra band...
26 篇 wang lei
25 篇 r. krishnapuram
25 篇 yu wang
25 篇 li li
23 篇 hui wang
22 篇 jian wang
22 篇 wei li
21 篇 feng liu
20 篇 rahman md. saidu...
20 篇 jing zhang
18 篇 hau-san wong

语言

50,705 篇 英文
281 篇 其他
203 篇 中文
20 篇 法文
14 篇 土耳其文
5 篇 葡萄牙文
4 篇 日文
3 篇 德文
3 篇 俄文
2 篇 朝鲜文

检索条件"主题词=clustering algorithms"

共 51242 条记录，以下是331-340 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：

clustering algorithms and Latent Semantic Indexing to Identify Similar Pages in Web Applications

Clustering Algorithms and Latent Semantic Indexing to Identi...

引用

International Symposium on Web Systems Evolution

作者： Andrea de Lucia Michele Risi Genoveffa Tortora Giuseppe Scanniello Dipartimento di Matematica e Informatica University of Salerno Fisciano Italy Dipartimento di Matematica e Informatica University of Basilicata Rome Italy

In this paper, we analyze some clustering algorithms that have been widely employed in the past to support the comprehension of Web applications. To this end, we have defined an approach to identify static pages that are duplicated or cloned at the content level. This approach is based on a process that first computes the dissimilarity between Web pages using latent semantic indexing, a well known information retrieval technique, and then groups similar pages using clustering algorithms. We consider five instances of this process, each based on three variants of the agglomerative hierarchical clustering algorithm, a divisive clustering algorithm, k-means partitional clustering algorithm, and a widely employed partitional competitive clustering algorithm, namely Winner Takes All. In order to assess the proposed approach, we have used the static pages of three Web applications and one static Web site.

关键词： clustering algorithms Indexing Partitioning algorithms Application software Navigation Web pages Information retrieval Software systems Algorithm design and analysis Time to market

来源：评论

学校读者我要写书评

暂无评论

clustering algorithms for circuit partitioning and placement problems

Clustering algorithms for circuit partitioning and placement...

引用

European Conference on Circuit Theory and Design, ECCTD

作者： Jianhua Li Laleh Behjat Logan Rakai Department of Electrical and Computer Engineering University of Calgary Calgary AB Canada

The complexity and size of digital circuits have grown exponentially, and today's circuits can contain millions of logic elements. clustering algorithms have become popular due to their ability to reduce circuit sizes. clustering enables circuit layout design problems, such as partitioning and placement to be performed faster and with higher quality. In this paper, current clustering algorithms and the effect of these algorithms on industry test benchmarks are studied. It is revealed that the score-based clustering algorithms are the most successful clustering techniques for circuit layout design and deserve more future research investigations.

关键词： clustering algorithms Partitioning algorithms Routing Algorithm design and analysis Very large scale integration Runtime Integrated circuit interconnections Digital circuits Logic circuits Circuit testing

来源：评论

学校读者我要写书评

暂无评论

clustering algorithms and RFM Analysis Performed on Retail Transactions

Clustering Algorithms and RFM Analysis Performed on Retail T...

引用

IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)

作者： Yash Parikh Eman Abdelfattah School of Theoretical and Applied Science Ramapo College of New Jersey Mahwah NJ

ISBN: (数字)9781728196565

ISBN: (纸本)9781728196572

This paper investigates how clustering algorithms and Recency, Frequency, and Monetary value (RFM) analysis can be performed on online transactions to provide strategies for customer purchasing behaviors. Along with performing RFM analysis on the retail dataset, clustering algorithms such as Mean-shift, Density-Based Spatial clustering of Applications with Noise (DBSCAN), Agglomerative clustering, and K-Means were utilized. By comparing these clustering algorithms, we have found valuable customer groups based on RFM values.

关键词： clustering algorithms Heating systems Business Prediction algorithms High frequency Gold Silver

来源：评论

学校读者我要写书评

暂无评论

clustering algorithms for perceptual image hashing

Clustering algorithms for perceptual image hashing

引用

IEEE Digital Signal Processing Workshop

作者： V. Monga A. Banerjee B.L. Evans Center for Perceptual Systems University of Texas Austin Austin TX USA

A perceptual image hash function maps an image to a short binary string, based on an image's appearance to the human eye. Perceptual image hashing is useful in image databases, watermarking, and authentication. In this paper, we decouple image hashing into feature extraction (intermediate hash) followed by data clustering (final hash). For any perceptually significant feature extractor, we propose a polynomial-time heuristic clustering algorithm that automatically determines the final hash length needed to satisfy a specified distortion. We prove that the decision version of our clustering problem is NP complete, Based on the proposed algorithm, we develop two variations to facilitate perceptual robustness vs. fragility trade-offs. We test the proposed algorithms against Stirmark attacks.

关键词： clustering algorithms Feature extraction Humans Image databases Watermarking Authentication Data mining Polynomials Heuristic algorithms Robustness

来源：评论

学校读者我要写书评

暂无评论

clustering algorithms in MANETs: A Review

Clustering Algorithms in MANETs: A Review

引用

International Conference on Complex, Intelligent and Software Intensive Systems, CISIS

作者： Mirjeta Alinci Evjola Spaho Algenti Lala Vladi Kolici Department of Electronics and Telecommunication Polytechnic University of Tirana Tirana Albania Universiteti Politeknik i Tiranes Tirana AL

A Mobile Ad hoc Network (MANET) is a multihop wireless network in which the mobile nodes are dynamic in nature and has a limited bandwidth and minimum battery power. Due to this challenging environment the mobile nodes can be grouped into clusters to achieve better stability and scalability. Grouping the mobile nodes is called clustering, in which a leader node is elected to manage the entire network. In this paper, we consider the various approaches for clustering focus on different performance metrics. Each cluster contain a particular node called cluster head which is elected as cluster head according to the specific metric or combination of metrics such as mobility, energy, degree, weight etc. In this survey paper, we study some clustering schemes such as Mobility-based clustering, Energy-efficient clustering, Connectivity-based clustering, Weighted-based clustering and discuss their advantages and disadvantages.

关键词： clustering algorithms Ad hoc networks Prediction algorithms Mobile computing Algorithm design and analysis Measurement Heuristic algorithms

来源：评论

学校读者我要写书评

暂无评论

clustering algorithms for large sets of heterogeneous remote sensing data

Clustering algorithms for large sets of heterogeneous remote...

引用

IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： G. Palubinskas M. Datcu R. Pac German Remote Sensing Data Center Germany AeroSpace Center Wessling Germany

The authors introduce a concept for a global classification of remote sensing images in large archives, e.g. covering the whole globe. Such an archive for example will be created after the Shuttle Radar Topography Mission in 1999. The classification is realized as a two step procedure: unsupervised clustering and supervised hierarchical classification. Features, derived from different and non-commensurable models, are combined using an extended k-means clustering algorithm and supervised hierarchical Bayesian networks incorporating any available prior information about the domain.

关键词： clustering algorithms Remote sensing Solid modeling Bayesian methods Feature extraction Synthetic aperture radar interferometry Design for disassembly Radar imaging Spaceborne radar Frequency

来源：评论

学校读者我要写书评

暂无评论

clustering algorithms with Balanced Weights for Geographic Data Processing

Clustering Algorithms with Balanced Weights for Geographic D...

引用

Smart World Congress (SWC), IEEE

作者： Qi Huang Jerome Yen Kenneth B. Kent Wenming Jin Yang Wang Chinese Academy of Sciences Shenzhen Institutes of Advanced Technology Shenzhen China Faculty of Science and Technology University of Macau Faculty of Computer Science University of New Brunswick Fredericton NB Canada The SIAT-Suntang Big Data&AI Joint Innovation Laboratory Shenzhen China Shenzhen University of Advanced Technology Shenzhen China

ISBN: (数字)9798331520861

ISBN: (纸本)9798331520878

With the rapid growth of geographic data, generated by various sensors and end equipment, new opportunities for research and practical applications can be found in various applications. However, effective utilization of this data often requires the division of geospatial space into smaller, manageable regions. An important challenge is to ensure that these regions with closed data points are balanced in terms of data size distribution (e.g., population density, resource allocation, etc.), creating a double optimization problem. The contributions of this paper are twofold. First, we propose a balance-driven partitioning algorithm, which is a coordinate-descent based algorithm using a dynamic programming technique. Second, we present a clustering-centric algorithm that improves the classic k-means algorithm with an imbalance-penalized function to allow the geographic data to be clustered together not only in terms of geographic location, but also in terms of the per-cluster total sizes in balance. Finally, to evaluate the efficiency of the proposed algorithms, we conducted experiments based on a trace geographic dataset and compared the results with those of the existing clustering algorithms. Our results demonstrate that the proposed algorithms can not only achieve the competitive clustering effects but also exhibit better performance in terms of data-size balance.

关键词： Shape Heuristic algorithms clustering algorithms Transforms Partitioning algorithms Dynamic programming Sensors Resource management Population density Optimization

来源：评论

学校读者我要写书评

暂无评论

clustering algorithms of Wireless Sensor Networks

Clustering Algorithms of Wireless Sensor Networks

引用

International Workshop on Intelligent Systems and Applications, ISA

作者： Ying Liao Huan Qi Chuxiang Chen Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan China Information and Engineering University Zhengzhou China

ISBN: (纸本)9781424458721;9781424458745

Topology control is one of the most important parts of Wireless Sensor Networks (WSNs) which is the current hotspot of research and application. Comparing with the other traditional wireless networks, this paper firstly summarizes the specialties of typic WSNs, and then studies the recent representative clustering algorithms in this area by summing up their characteristics and application areas, posting their limitations, and pointing out the future trend of the clustering Arithmetic of WSNs emphatically.

关键词： clustering algorithms Wireless sensor networks Network topology Communication system control Wireless communication Communication system traffic control Energy consumption Environmental factors Arithmetic Sensor phenomena and characterization

来源：评论

学校读者我要写书评

暂无评论

clustering algorithms and validity measures

Clustering algorithms and validity measures

引用

International Working Conference on Scientific and Statistical Database Management

作者： M. Halkidi Y. Batistakis M. Vazirgiannis Department of Informatics Athens University of Economics and Business Greece

ISBN: (纸本)0769512186

clustering aims at discovering groups and identifying interesting distributions and patterns in data sets. Researchers have extensively studied clustering since it arises in many application domains in engineering and social sciences. In the last years the availability of huge transactional and experimental data sets and the arising requirements for data mining created needs for clustering algorithms that scale and can be applied in diverse domains. The paper surveys clustering methods and approaches available in the literature in a comparative way. It also presents the basic concepts, principles and assumptions upon which the clustering algorithms are based. Another important issue is the validity of the clustering schemes resulting from applying algorithms. This is also related to the inherent features of the data set under concern. We review and compare clustering validity measures available in the literature. Furthermore, we illustrate the issues that are under-addressed by the recent algorithms and we address new research directions.

关键词： clustering algorithms Data mining Informatics clustering methods Partitioning algorithms Databases Biomedical engineering Engineering in medicine and biology Unsupervised learning Pattern recognition

来源：评论

学校读者我要写书评

暂无评论

clustering algorithms for wireless sensor networks: A review

Clustering algorithms for wireless sensor networks: A review

引用

International Conference on Computing for Sustainable Global Development (INDIACom)

作者： Jitendra Singh Rakesh kumar Ajai Kumar Mishra Madan Mohan Malviya University of Technology Gorakhpur INDIA

Wireless sensor networks (WSNs) have many applications in military services, health centers, industries as well as home surveillances. In such networks energy efficiency of nodes and life time of network are main concerns. Different clustering approaches are used to efficiently optimize the energy of sensor nodes. clustering also improves the scalability of sensor nodes. We reviewed different approaches of clustering which are centralized, distributed and hybrid used in Sensor Networks. Recently there have been many researches on developing algorithms using equal and unequal clustering techniques. These techniques use residual energy of nodes and distance to base station as parameters for selecting cluster heads. This paper aims to examine various distributed and hybrid clustering algorithm as on date reported by different authors actively working in this area. We also briefly discuss the operations of these algorithms, as well as compare on the basis of various clustering attributes.

关键词： clustering algorithms Wireless sensor networks Base stations Algorithm design and analysis Classification algorithms Energy efficiency Protocols

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500页 << < 30 31 32 33 34 35 36 37 38 39 > >>

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：