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

140 篇 会议
37 册 图书
1 篇 期刊文献

馆藏范围

178 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

67 篇 工学
- 66 篇 计算机科学与技术...
- 30 篇 软件工程
- 13 篇 电气工程
- 7 篇 信息与通信工程
- 7 篇 控制科学与工程
- 4 篇 生物医学工程（可授...
- 4 篇 生物工程
- 1 篇 仪器科学与技术
- 1 篇 材料科学与工程（可...
- 1 篇 土木工程
- 1 篇 纺织科学与工程
- 1 篇 环境科学与工程（可...
38 篇 管理学
- 28 篇 管理科学与工程(可...
- 12 篇 图书情报与档案管...
- 3 篇 工商管理
9 篇 理学
- 4 篇 数学
- 4 篇 生物学
- 1 篇 大气科学
- 1 篇 系统科学
- 1 篇 统计学（可授理学、...
6 篇 医学
- 6 篇 临床医学
- 5 篇 基础医学(可授医学...
- 3 篇 药学(可授医学、理...
- 2 篇 公共卫生与预防医...
3 篇 法学
- 3 篇 社会学
1 篇 教育学
- 1 篇 教育学
1 篇 文学
- 1 篇 新闻传播学
1 篇 农学
- 1 篇 作物学

主题

52 篇 data mining
30 篇 databases
22 篇 information stor...
19 篇 information syst...
19 篇 artificial intel...
18 篇 database managem...
14 篇 application soft...
11 篇 data mining and ...
9 篇 relational datab...
9 篇 data analysis
8 篇 knowledge manage...
7 篇 computer science
7 篇 conference manag...
7 篇 computer communi...
6 篇 database systems
6 篇 big data
6 篇 software enginee...
6 篇 ontologies
6 篇 data engineering
6 篇 costs

机构

5 篇 univ manitoba wi...
4 篇 department of co...
4 篇 university of vi...
4 篇 university of pe...
4 篇 sorbonne univers...
4 篇 faculty of econo...
4 篇 machine intellig...
4 篇 university of ca...
4 篇 university of mi...
4 篇 university of tr...
4 篇 dip. matematica ...
3 篇 university of sa...
2 篇 school of inform...
2 篇 machine intellig...
2 篇 international sc...
2 篇 iit madras
2 篇 eurecom biot
2 篇 lab. cedric cnam
2 篇 uc4 senactive so...
2 篇 machine intellig...

作者

8 篇 mario fedrizzi
8 篇 giulianella cole...
8 篇 salvatore greco
8 篇 bernadette bouch...
8 篇 benedetto matara...
8 篇 ronald r. yager
6 篇 leung carson k.
5 篇 song lin
5 篇 xiong huang
3 篇 hoi calvin s. h.
2 篇 james bailey
2 篇 longbing cao
2 篇 zhu ying
2 篇 jun luo
2 篇 badaro gilbert
2 篇 johann eder
2 篇 patrick valdurie...
2 篇 bourennani farid
2 篇 joshua zhexue hu...
2 篇 ying zhu

语言

177 篇 英文
1 篇 中文

检索条件"任意字段=International Conference on Advances in Databases, Knowledge, and Data Applications, DBKDA"

共 178 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：

A data Mining-Based Solution for Detecting Suspicious Money Laundering Cases in an Investment Bank

A Data Mining-Based Solution for Detecting Suspicious Money ...

引用

international conference on advances in databases, knowledge, and data applications, dbkda

作者： Nhien An Le Khac Sammer Markos M-Tahar Kechadi University College Dublin Dublin IE School of Computer Science University College Dublin Dublin 4 Ireland

ISBN: (纸本)9781424460816

Today, money laundering poses a serious threat not only to financial institutions but also to the nation. This criminal activity is becoming more and more sophisticated and seems to have moved from the cliché, of drug trafficking to financing terrorism and surely not forgetting personal gain. Most international financial institutions have been implementing anti-money laundering solutions to fight investment fraud. However, traditional investigative techniques consume numerous man-hours. Recently, data mining approaches have been developed and are considered as well-suited techniques for detecting money laundering activities. Within the scope of a collaboration project for the purpose of developing a new solution for the anti-money laundering Units in an international investment bank, we proposed a simple and efficient data mining-based solution for anti-money laundering. In this paper, we present this solution developed as a tool and show some preliminary experiment results with real transaction datasets.

关键词： Investments Drugs Delta modulation Computer science Educational institutions Terrorism data mining Law Legal factors Stability

来源：评论

学校读者我要写书评

暂无评论

Discovering Informative Syntactic Relationships between Named Entities in Biomedical Literature

Discovering Informative Syntactic Relationships between Name...

引用

international conference on advances in databases, knowledge, and data applications, dbkda

作者： Annalisa Appice Michelangelo Ceci Corrado Loglisci Dipartimento di Informatica Università degli Studi di Bari Aldo Moro Bari Italy

ISBN: (纸本)9781424460816

The discovery of new and potentially meaningful relationships between named entities in biomedical literature can take great advantage from the application of multirelational data mining approaches in text mining. This is motivated by the peculiarity of multi-relational data mining to be able to express and manipulate relationships between entities. We investigate the application of such an approach to address the task of identifying informative syntactic structures, which are frequent in biomedical abstract corpora. Initially, named entities are annotated in text corpora according to some biomedical dictionary (e.g. MeSH taxonomy). Tagged entities are then integrated in syntactic structures with the role of subject and/or object of the corresponding verb. These structures are represented in a first-order language. Multi-relational approach to frequent pattern discovery allows to identify the verb-based relationships between the named entities which frequently occur in the corpora. Preliminary experiments with a collection of abstracts obtained by querying Medline on a specific disease are reported.

关键词： data mining Text mining Speech Search methods Proteins databases Dictionaries Taxonomy Abstracts Diseases

来源：评论

学校读者我要写书评

暂无评论

Analysis of the Quality of Life after an Endoscopic Thoracic Sympathectomy: A Business Intelligence Approach

Analysis of the Quality of Life after an Endoscopic Thoracic...

引用

international conference on advances in databases, knowledge, and data applications, dbkda

作者： Diana Gonçalves Maribel Yasmina Santos Jorge Cruz Algoritmi Research Centre University of Minho Guimaraes Portugal Medicine Faculty University of Lisbon Lisboa Portugal

ISBN: (纸本)9781424460816

Primary hyperhidrosis, a disorder characterized by an excessive sweating, has been treated by endoscopic thoracic sympathectomy. As a consequence of the surgery, patients improved their overall quality of life. Their day-by-day activities are not affected, or are less affected, by this disorder, and their emotional state verifies a significant improvement, from a situation of shame and self-punishing to what we could say a normal life. This paper presents the analysis of the quality of life of 227 patients that were treated by an endoscopic thoracic sympathectomy. The study was based on the use of business intelligence technologies, which allowed the storage, the analysis and the reporting of all the relevant findings. In technological terms, this paper illustrates the database and data analysis developments needed in a specific healthcare application domain. For data storage, a data mart was designed addressing the relevant attributes. For data analysis, on-line analytical processing and data mining technologies were used to show the evolution of the patients', health condition and the incidence of complications or side effects as consequence of the surgery.

关键词： data analysis Surgery data mining Intelligent systems Medical treatment Deductive databases Medical services Memory Guidelines Internet

来源：评论

学校读者我要写书评

暂无评论

Towards an Automatic Detection of Sensitive Information in a database

Towards an Automatic Detection of Sensitive Information in a...

引用

international conference on advances in databases, knowledge, and data applications, dbkda

作者： Cédric Mouza Elisabeth Métais Nadira Lammari Jacky Akoka Tatiana Aubonnet Isabelle Comyn-Wattiau Hammou Fadili Samira Si-Saïd Cherfi Lab CEDRIC CNAM Paris France Lab. Cedric CNAM Paris France

In order to validate user requirements, tests are often conducted on real data. However, developments and tests are more and more outsourced, leading companies to provide external staff with real confidential data. A solution to this problem is known as data Scrambling. Many algorithms aim at smartly replacing true data by false but realistic ones. However, nothing has been developed to automate the crucial task of the detection of the data to be scrambled. In this paper we propose an innovative approach - and its implementation as an expert system - to achieve the automatic detection of the candidate attributes for scrambling. Our approach is mainly based on semantic rules that determine which concepts have to be scrambled, and on a linguistic component that retrieves the attributes that semantically correspond to these concepts. Since attributes can not be considered independently from each other we also address the challenging problem of the propagation of the scrambling among the whole database. An important contribution of our approach is to provide a semantic modelling of sensitive data. This knowledge is made available through production rules, operationalizing the sensitive data detection.

关键词： databases Testing Expert systems Production Protection data privacy Face detection Remuneration Prototypes Programming profession

来源：评论

学校读者我要写书评

暂无评论

Phenomena-Based Management of Geotime-Tagged Contents on the Web

Phenomena-Based Management of Geotime-Tagged Contents on the...

引用

international conference on advances in databases, knowledge, and data applications, dbkda

作者： Kyoung-Sook Kim Koji Zettsu Yutaka Kidawara Yasushi Kiyoki Knowledge Creating Communication Research Center National Institute of Information and Communications Technology Kyoto Japan Faculty of Environmental Information Keio University Fujisawa Kanagawa Japan

ISBN: (纸本)9781424460816

Recently, Geoweb services help people easily create and share geo-spatiotemporal contents through Internet. As a result, it becomes an emerging issue to manage Geoweb contents in exploding lots of spatiotemporal information and to obtain comprehensive knowledge about the real world using web contents. This paper proposes a novel approach for managing geotime-tagged contents on the basis of moving phenomena, such as typhoons, earthquakes, and flooding. In this study, a moving phenomenon is represented by a predefined three-dimensional object in a spatiotemporal domain with predefined meanings, and we define a phenomena-based predicate template named Relates as a combination of spatial, temporal, and thematic constraints. By using the Relates predicate, we can dynamically aggregate geotime-tagged contents along three aspects: location, time, and topic. Moreover, we present an application of the phenomena-based contents management, called k-Sticker. k-Sticker allows users to find top-k terms related to their own moving phenomenon through a three-dimensional (two spatial dimensions and one temporal dimension) visualization method.

关键词： Content management Spatiotemporal phenomena knowledge management Typhoons Aggregates Geographic Information Systems databases conference management Environmental management Technology management

来源：评论

学校读者我要写书评

暂无评论

Privacy-Preserving Association Rule Mining Using Binary TLBO for data Sharing in Retail Business Collaboration 1

引用

5th international conference on Frontiers in Intelligent Computing - Theory and applications (FICTA)

作者： Kalyani, G. Rao, M. V. P. Chandra Sekhara Janakiramaiah, B. Acharya Nagarjuna Univ Guntur India RVR & JC Coll Engn Guntur India DVR & Dr HS MIC Coll Technol Vijayawada India

ISBN: (数字)9789811031533

ISBN: (纸本)9789811031533;9789811031526

Sharing of data provides mutual benefits for collaborating organizations. data mining techniques have allowed regimented discovery of knowledge from huge databases. Conversely, in the case of sharing the data with others, knowledge discovery raises the possibility of revealing the sensitive knowledge. The need of privacy prompted the growth of numerous privacy-preserving data mining techniques. In order to deal with privacy concerns, the database is to be transformed into another database in such a way that the sensitive knowledge is concealed. One subarea of privacy-preserving data mining, which got attention in retail businesses, is privacy-preserving association rule mining. A significant feature of privacy-preserving association rule mining is attaining a balance between privacy and precision, which is characteristically conflicting, and refining the one generally reduces the other one. In this paper, the problem has been planned in the perspective of protecting association rules which are sensitive by prudently amending the transactions of the database. To moderate the loss of non-sensitive association rules and to improve the quality of the transformed database, the proposed approach competently estimates the impact of an alteration to the database. The proposed method selects the transactions for alterations using the binary TLBO optimization technique during the concealing process. Experimental outcomes exhibit the efficiency of the proposed algorithm.

关键词： data sharing Privacy Sensitive knowledge Sanitization TLBO Optimization Association rule mining

来源：评论

学校读者我要写书评

暂无评论

From Tables to knowledge: Recent advances in Table Understanding 21

From Tables to Knowledge: Recent Advances in Table Understan...

引用

27th ACM SIGKDD international conference on knowledge Discovery and data Mining (KDD)

作者： Pujara, Jay Szekely, Pedro Sun, Huan Chen, Muhao USC Informat Sci Inst Marina Del Rey CA 90292 USA Ohio State Univ Columbus OH 43210 USA

ISBN: (纸本)9781450383325

A wealth of human knowledge is expressed in structured tables, across web pages, scientific articles, spreadsheets, and databases. This wealth of knowledge is mirrored by diversity in the vast number of layout structures, content types, formats, and surface forms used to express tables. Recent advances in representation learning and knowledge representation have made progress in exploiting structural regularities in tabular data to unlock this knowledge. In this tutorial, we provide a survey of these advances for a host of table understanding tasks, including table segmentation, semantic typing of cells, transforming tables to knowledge graphs, entity linking, and table retrieval tasks for question answering. The structure of the tutorial will include three major modules. The first will provide attendees an introduction to the seminal work in organization of data in tables, and cover the major goals and approaches of computational systems that undertake table understanding. The second module will cover specific models used for table understanding tasks, such as table discovery, table segmentation and layout detection, cell classification and semantic typing, mapping tables to knowledge graphs and linking to known entities, and table retrieval in search and question answering. The final tutorial module will provide a primer for researchers who want to get involved with the table understanding community, providing them a guide to the most commonly used benchmark datasets and models, downstream applications and evaluations, and a sketch of the open problems in table understanding. https://***/KDD21Tutorial/

关键词： tabular data representation learning knowledge graphs semantic typing entity linking probabilistic models

来源：评论

学校读者我要写书评

暂无评论

Constrained Frequent Pattern Mining from Big data Via Crowdsourcing 4th

Constrained Frequent Pattern Mining from Big Data Via Crowds...

引用

4th international conference on Big data applications and Services ( (BigDAS)

作者： Hoi, Calvin S. H. Khowaja, Daniyal Leung, Carson K. Univ Manitoba Winnipeg MB Canada

ISBN: (纸本)9789811306952;9789811306945

High volumes of wide varieties of valuable data of different veracities can be easily generated or collected at a high velocity from various big data applications and services. Embedded in these big data are valuable knowledge and useful information, which can be discovered by data science solutions. As a popular data science task, frequent pattern mining aims to discover implicit, previously unknown and potentially useful information and valuable knowledge in terms of sets of frequently co-occurring items. Many of the existing frequent pattern mining algorithms return large numbers of frequent patterns, of which only a small portion may be of interest to users. In this paper, we present a constrained mining algorithm that allows crowds of users to collaboratively vote for their interesting patterns. Such an algorithm takes the benefits of crowdsourcing, crowdvoting and collaborative filtering for the data analytics and mining of popular constrained frequent patterns from big data applications and services.

关键词： Big data Big data applications and services Collaborative filtering Crowdsourcing Crowdvoting data analytics data mining data science Frequent patterns knowledge discovery in databases

来源：评论

学校读者我要写书评

暂无评论

Categorization of News Articles: A Model Based on Discriminative Term Extraction Method

Categorization of News Articles: A Model Based on Discrimina...

引用

international conference on advances in databases, knowledge, and data applications, dbkda

作者： Abhishek Sanwaliya Kripa Shanker Subhas C. Misra Department of Industrial & Management Engineering Indian Institute of Technology Kanpur Kanpur India

ISBN: (纸本)9781424460816

Categorization techniques have major contribution in building automated system capable to fulfill the needs of decision making tasks for better organization and management of resources. The objective of this research is to assess the relative performance of some well-known classification methods. Among the proposed approaches our discriminative term extraction (DTE) based combined naive bayes and K-NN (NB-KNN) approach has the advantages of short learning time due to its computational efficiency with comparatively high accuracy. We designed DTE based NBKNN model for multi-class, single label text categorization. Our experiments suggest that data characteristics have considerable impact on the performance of classification methods. The Results obtained from Reuters-21578 corpus shows that NB-KNN consistently outperforms the single naive bayes and K-NN classifiers on Precision, Recall and Fl scores. The results of the study suggest designing a classification system in which several classification methods can be combined to increase the reliability, consistency and accuracy of the categorization.

关键词： Text categorization data mining Decision making Resource management Risk management conference management knowledge management Technology management Engineering management Feature extraction

来源：评论

学校读者我要写书评

暂无评论

Analyzing Malware Log data to Support Security Information and Event Management: Some Research Results

Analyzing Malware Log Data to Support Security Information a...

引用

international conference on advances in databases, knowledge, and data applications, dbkda

作者： Roland Gabriel Tobias Hoppe Alexander Pastwa Sebastian Sowa Business Informatics Ruhr University of Bochum Bochum Germany Institute of E-Business Security (ISEB) Ruhr University of Bochum Bochum Germany

Enterprise information infrastructures are generally characterized by a multitude of information systems which support decision makers in fulfilling their duties. The object of information security management is the protection of these systems, whereas security information and event management (SIEM) addresses those information management tasks which focus on the short term handling of events, as well as on the long term improvement of the entire information security architectures. This is carried out based on those data which can be logged and collected within the enterprise information security infrastructure. An especially interesting type of log data is data created by anti-malware software. This paper demonstrates in the context of a project case study that data mining (DM) is a well suited approach to detect hidden patterns in malware data and thus to support SIEM.

关键词： data analysis Information analysis data security Information security Information management Management information systems Protection Computer architecture data mining Delta modulation

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18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：