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

3,117 篇 会议
141 册 图书
22 篇 期刊文献

馆藏范围

3,279 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

2,140 篇 工学
- 1,954 篇 计算机科学与技术...
- 1,096 篇 软件工程
- 404 篇 信息与通信工程
- 285 篇 电气工程
- 267 篇 生物工程
- 217 篇 控制科学与工程
- 172 篇 生物医学工程（可授...
- 79 篇 化学工程与技术
- 73 篇 光学工程
- 72 篇 机械工程
- 67 篇 仪器科学与技术
- 65 篇 电子科学与技术（可...
- 62 篇 安全科学与工程
- 55 篇 动力工程及工程热...
- 54 篇 网络空间安全
776 篇 理学
- 429 篇 数学
- 295 篇 生物学
- 151 篇 统计学（可授理学、...
- 148 篇 物理学
- 127 篇 系统科学
- 89 篇 化学
505 篇 管理学
- 306 篇 图书情报与档案管...
- 231 篇 管理科学与工程(可...
- 95 篇 工商管理
218 篇 医学
- 193 篇 临床医学
- 125 篇 基础医学(可授医学...
- 87 篇 药学(可授医学、理...
- 55 篇 公共卫生与预防医...
72 篇 法学
- 70 篇 社会学
51 篇 教育学
- 47 篇 教育学
35 篇 经济学
31 篇 农学
6 篇 艺术学
4 篇 军事学
1 篇 文学

主题

568 篇 data mining
542 篇 machine learning
241 篇 pattern recognit...
195 篇 deep learning
174 篇 feature extracti...
154 篇 artificial intel...
153 篇 support vector m...
113 篇 accuracy
113 篇 machine learning...
110 篇 training
93 篇 data models
80 篇 neural networks
77 篇 data mining and ...
65 篇 classification
62 篇 sentiment analys...
61 篇 classification a...
59 篇 big data
57 篇 predictive model...
50 篇 face recognition
48 篇 prediction algor...

机构

7 篇 maharishi school...
6 篇 guangdong univer...
5 篇 galgotias univer...
5 篇 centre of interd...
5 篇 pune
5 篇 chitkara univers...
5 篇 uttaranchal univ...
5 篇 uttaranchal inst...
5 篇 institute of aut...
4 篇 shanghai jiao to...
4 篇 chitkara univers...
4 篇 school of inform...
4 篇 indian statistic...
4 篇 south china univ...
4 篇 zhejiang univers...
4 篇 maharishi school...
4 篇 department of cs...
4 篇 university of ca...
4 篇 school of comput...
4 篇 department of co...

作者

9 篇 de-shuang huang
7 篇 coenen frans
7 篇 venkatesh svetha
7 篇 petra perner
7 篇 tianrui li
6 篇 ryszard tadeusie...
6 篇 marcin korytkows...
6 篇 jacek m. zurada
6 篇 krasotkina olga
6 篇 lotfi a. zadeh
6 篇 mottl vadim
6 篇 leszek rutkowski
5 篇 vitoantonio bevi...
5 篇 sankar k. pal
4 篇 waiyamai kitsana
4 篇 sozo inoue
4 篇 sergei o. kuznet...
4 篇 duoqian miao
4 篇 shengli xie
4 篇 hepu deng

语言

2,834 篇 英文
436 篇 其他
45 篇 中文
1 篇 西班牙文
1 篇 土耳其文

检索条件"任意字段=3rd International Conference on Machine Learning and Data Mining in Pattern Recognition"

共 3280 条记录，以下是2541-2550 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：

Recommendation of optimized web pages to users using Web Log mining techniques

Recommendation of optimized web pages to users using Web Log...

引用

IEEE international Advance Computing conference, IACC

作者： Ravi Bhushan Rajender Nath Department of Computer Science & Application Kurukshetra University Kurukshetra Haryana India

ISBN: (纸本)9781467345279

Now a days, user rely on the web for information, but the currently available search engines often gives a long list of results, much of which are not always relevant to the user's requirement. Web Logs are important information repositories, which record user activities on the search results. The mining of these logs can improve the performance of search engines, since a user has a specific goal when searching for information. Optimized search may provide the results that accurately satisfy user's specific goal for the search. In this paper, we propose a web recommendation approach which is based on learning from web logs and recommends user a list of pages which are relevant to him by comparing with user's historic pattern. Finally, search result list is optimized by re-ranking the result pages. The proposed system proves to be efficient as the pages desired by the user, are on the top in the result list and thus reducing the search time.

关键词： Search engines Web pages data mining Navigation IP networks Computer architecture conferences

来源：评论

学校读者我要写书评

暂无评论

An indexing method of mathematical expression retrieval

An indexing method of mathematical expression retrieval

引用

international conference on Computer Science and Network Technology (ICCSNT)

作者： Xuedong Tian Songqiang Yang Xinfu Li Fang Yang Hebei key laboratory of Machine Learning and Computational Intelligence Baoding China College of Mathematics & Computer Science Hebei University Baoding China

ISBN: (纸本)9781479905607

As the kernel component of scientific documents, mathematical expressions are becoming a new object of searching engines. Different from normal text, mathematical expressions are composed of various kinds of symbols arranged in nonlinear mode, which results in the limitations of traditional full-text information retrieval used for expression searching. In this paper, we discuss the existing search engine of mathematical expressions and introduce the two-dimensional characteristics of mathematical expressions firstly. Then, a data structure of expressing mathematical formulas is designed which contains not only the symbol code but also the mathematical information among symbols. Finally, the indexing algorithm of mathematical expressions is put forward on the basis of the expression data structure. The experimental result shows the effectiveness of the indexing method proposed in this paper.

关键词： Feature extraction Search engines data mining Indexing Educational institutions data structures

来源：评论

学校读者我要写书评

暂无评论

引用

2013 3rd international conference on Advanced Materials and Information Technology Processing (AMITP 2013)

作者： M.Hernando Casta?eda M.Claudia Patricia Parra Facultad de Ingeniería Universidad de Pamplona

In order to further illustrate similarity concept and fuzzy method structural,we consider the problem of estimation stump test dynamics parameters in the concrete from data set described in UCI machine learning *** consider this is important for monitoring mixture concrete mechanics in civil engineering by pattern recognition of behavioral(curvature and slope features) of compressive strength and cement–water *** example,to assess aggregates mixture conditions for which the interpretability of the local model parameters is of vital importance and to automatically control or optimize the stump test settings for which the global model.

关键词： concrete slump test identification structural similarity fuzzy set

来源：评论

学校读者我要写书评

暂无评论

Degradation Mode recognition for Battery of Electric Vehicle Based on ART2 Network

Degradation Mode Recognition for Battery of Electric Vehicle...

引用

2013 3rd international conference on Mechanical Materials and Manufacturing Engineering(ICMMME 2013)

作者： Gang Yu Mimi Guo Shenzhen Key Laboratory of Digital Manufacturing Technology School of Mechanical Engineering and Automation Harbin Institute of Technology (HIT) Shenzhen Graduate School

In the process of describing the degradation process of battery of electric vehicle,degradation models under dynamic running conditions need to be analyzed in order to effectively forecast the remaining useful mileage and life of *** paper proposed a new method of pattern recognition based on ART2 network to distinguish the degradation mode of the battery of electric ***,the degradation mechanism is analyzed of the battery to extract the features of degradation *** the learning process of ART2 is designed for recognition of the degradation *** that,HMM is applied to research the dynamic changes of the degradation mode and predict future degradation mode ***,experimental analysis based on battery’s charge and discharge data proves the effectiveness of the proposed approach.

关键词： Battery Degradation mode ART2 pattern recognition

来源：评论

学校读者我要写书评

暂无评论

A New SAFR Tool for Face recognition Using EGV-LBP-CMI-LDA Wrapped with Secured DWT Based Steganography

A New SAFR Tool for Face Recognition Using EGV-LBP-CMI-LDA W...

引用

IEEE international Advance Computing conference

作者： Shami Jhodge Girija Chiddarwar Gitanjali Shinde Department of MCA Sinhgad College of Management Department of Computer Engineering Sinhgad College of Engineering Department of Computer Engineering SKN College of Engineering

ISBN: (纸本)9781467345279

Face recognition technique nowadays is emerging as the most significant and challenging aspects in terms of security for identification of images in various fields viz. banking, police records, biometric etc. other than an individual's thumb and documented identification proofs. Till date for efficient net banking to be initiated, one has to provide the appropriate user name and password for purpose of authentication. This project introduces a vehicle to take a step forward in easy and more reliable authentication of an individual by providing Face Image along with User Name and Password to the system. In this an individual's face is identified by biometric authentication support with which, only a person whose account is, can access it. However while transferring this sensitive data of user image, from client machine to bank server it has to be protected from hackers and intruders from manhandling it, hence it is transferred using covert communication called Wavelet Decomposition based steganography. As face images are affected by different expressions, poses, occlusions, illuminations and aging over a period of time and it differs from the same person than those from different ones is the main difficult task in face recognition. Whenever image information is jointly co-ordinated in three aspects viz. image space, scale and orientation domains they carry much higher clues than seen in each domain individually. In the proposed method combination of Local Binary pattern (LBP) and Gabor features are used to increase the face recognition performance significantly to compare individual's face presentations. Hence face recognition and representation of Gabor faces are done using E-GV-LBP and CMI-LDA based feature recognition method. Gabor faces uses space, scale and orientation to support accurate face recognition, making net banking easier, authentic, reliable and user friendly.

关键词： DWT (Discrete Wavelet Transformation) E-GV-LBP (Effective Gabor Volume Linear Binary pattern) CMI (Conditional Mutual Information)

来源：评论

学校读者我要写书评

暂无评论

AI*IA 2013: Advances in Artificial Intelligence: XIIIth international conference of the Italian Association for Artificial Intelligence, Turin, Italy, December 4-6, 2013. Proceedings 1

引用

丛书名： Lecture Notes in Computer Science

2013年

作者： Mario Alviano, Carmine Dodaro, Francesco Ricca (auth.), Matteo Baldoni, Cristina Baroglio, Guido Boella, Roberto Micalizio (eds.)

ISBN: (数字)9783319035246

ISBN: (纸本)9783319035239;9783319035246

This book constitutes the refereed proceedings of the 13th international conference of the Italian Association for Artificial Intelligence, AI*IA 2013, held in Turin, Italy, in December 2013. The 45 revised full papers were carefully reviewed and selected from 86 submissions. The conference covers broadly the many aspects of theoretical and applied Artificial Intelligence as follows: knowledge representation and reasoning, machine learning, natural language processing, planning, distributed AI: robotics and MAS, recommender systems and semantic Web and AI applications.

关键词：人工智能l。机器人学；数据采矿和知识发现；数理逻辑和正式语言；由抽象设备的计算；用户接口和人的计算机相互作用；模式识别

来源：评论

学校读者我要写书评

暂无评论

A New Model for Privacy Preserving Sensitive data mining

A New Model for Privacy Preserving Sensitive Data Mining

引用

3rd international conference on Computing Communication and Networking Technologies (ICCCNT)

作者： Prakash, M. Singaravel, G. KSR Coll Engn Dept CSE Tiruchengode Tamil Nadu India KSR Coll Engn Dept IT Tiruchengode Tamil Nadu India

ISBN: (纸本)9781467356930

data mining and Knowledge Discovery is an indispensable technology for business and researches in many fields such as statistics, machine learning, pattern recognition, databases and high performance computing. In which Privacy Preserving data mining has the potential to increase the reach and benefits of data mining technology. This allows publishing a micro data without disclosing private information. Publishing data about individuals without revealing sensitive information about them is an important problem. k-anonymity and I-Diversity has been proposed as a mechanism for protecting privacy in microdata publishing. But both the mechanisms are insufficient to protect the privacy issues like Homogeneity attack, Skewness Attack, Similarity attack and Background Knowledge Attack. A new privacy measure called "(n, f)-proximity" is proposed which is more flexible model. Here first introduction about data mining is presented, and then research challenges are given. Followed by privacy preservation measures and problems with k-anonymity and l-Diversity are discussed. The rest of the paper is organised as (n, f)-proximity model, experimental results and analysis followed by conclusion.

关键词： privacy privacy preservation data publishing data security data anonymization data fusion

来源：评论

学校读者我要写书评

暂无评论

Synchrophasor-based data mining for Power System Fault Analysis

Synchrophasor-based Data Mining for Power System Fault Analy...

引用

3rd IEEE PES international conference and Exhibition on Innovative Smart Grid Technologies Europe (ISGT Europe)

作者： Al Karim, Miftah Chenine, Moustafa Zhu, Kun Nordstroem, Lars KTH Royal Inst Technol Sch Elect Engn Dept Ind Informat & Control Syst SE-10044 Stockholm Sweden

ISBN: (纸本)9781467325950;9781467325967

Phasor measurement units can provide high resolution and synchronized power system data, which can be effectively utilized for the implementation of data mining techniques. data mining, based on pattern recognition algorithms can be of significant help for power system analysis, as high definition data is often complex to comprehend. In this paper three pattern recognition algorithms are applied to perform the data mining tasks. The deployment is carried out firstly for fault data classification, secondly for checking which faults are occurring more frequently and thirdly for identifying the root cause of a fault by clustering the parameters behind each scenario. For such purposes three algorithms are chosen, k-Nearest Neighbor, Naive Bayes and the k-means Clustering.

关键词： Clustering algorithm k-Nearest Neighbor algorithm Naive Bayes algorithm Phasor measurement Unit pattern recognition power system faults

来源：评论

学校读者我要写书评

暂无评论

machine learning Algorithms for data Categorization and Analysis in Communication

Machine Learning Algorithms for Data Categorization and Anal...

引用

3rd international conference on Information Security and Intelligent Control (ISIC)

作者： Xian, Tan Hubei Univ Nationalities Coll Literature & Commun Enshi Hubei Province Peoples R China

ISBN: (纸本)9781467325882;9781467325875

machine learning and pattern recognition contains well-defined algorithms with the help of complex data, provides the accuracy of the traffic levels, heavy traffic hours within a cluster. In this paper the base stations and also the noise levels in the busy hour can be predicted. J48 pruned tree contains 23 nodes with busy traffic hour provided in east Godavari. Signal to noise ratio has been predicted at 55, based on CART results. About 53% instances provided inside the cluster and 47% provided outside the cluster. DBScan clustering provided maximum noise from srikakulam. MOR (Number of originating calls successful) predicted as best associated attribute based on Apriori and Genetic search 12: 1 ratio.

关键词： component Traffic MOR data mining

来源：评论

学校读者我要写书评

暂无评论

learning Classifier System Improvement Based on Probability Driven and Neural Network Driven Approaches

Learning Classifier System Improvement Based on Probability ...

引用

Eastern European Regional conference on the Engineering of Computer Based Systems

作者： Ladislav Clementis Institute of Applied Informatics Faculty of Informatics and Information Technologies Slovak University of Technology Ilkovi?ova 3 842 16 Bratislava Slovakia

ISBN: (纸本)9781479908530

Rule-based systems like learning Classifier System are widely used in areas where data mining, data classification and pattern recognition tasks are essential. It is often difficult to address the knowledge base of these complex classifier systems, which is usually a set of classifiers. Therefore we use evolutionary processes like genetic algorithms to develop their knowledge *** provide modified learning Classifier System enriched by probability model to help build an appropriate knowledge base more effectively. We included a neural network into the action selection process and therefore action can be determined accordingly with a probability model. We provide simulation results which demonstrate efficiency of learning processes to compare these approaches.

关键词： learning classifier system the battleship game neural network problem probability model decision making

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328页 << < 251 252 253 254 255 256 257 258 259 260 > >>

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：