检索结果-内蒙古大学图书馆

2nd International Conference on software engineering and computer systems, ICSECS 2011

作者： Senan, Norhalina Ibrahim, Rosziati Mohd. Nawi, Nazri Riyadi Yanto, Iwan Tri Herawan, Tutut Faculty of Computer Science and Information Technology Universiti Tun Hussein Onn Malaysia Batu Pahat 86400 Johor Malaysia Department of Mathematics Universitas Ahmad Dahlan Yogyakarta 55166 Indonesia Faculty of Computer System and Software Engineering Universiti Malaysia Pahang Lebuh Raya Tun Razak Gambang 26300 Pahang Malaysia

ISBN: (纸本)9783642221903

This paper presents an alternative feature ranking technique for Traditional Malay musical instruments sounds dataset using rough-set theory based on the maximum degree of dependency of attributes. The modeling process comprises seven phases: data acquisition, sound editing, data representation, feature extraction, data discretization, data cleansing, and finally feature ranking using the proposed technique. The results show that the selected features generated from the proposed technique able to reduce the complexity process. © 2011 Springer-Verlag.

关键词： Rough set theory

来源：评论

学校读者我要写书评

暂无评论

Current practices of software cost estimation technique in Malaysia context

Current practices of software cost estimation technique in M...

引用

International Conference on Informatics engineering and Information Science, ICIEIS 2011

作者： Mansor, Zulkefli Mohd Kasirun, Zarinah Yahya, Saadiah Hj Arshad, Noor Habibah Faculty of Information Technology Industry Universiti Selangor Jalan Timur Tambahan Bestari Jaya Selangor 45600 Malaysia Department of Software Engineering Faculty of Computer Science and Information Technology Universiti Malaya Kuala Lumpur 50603 Malaysia Computer Technology and Networking Studies Faculty of Computer and Mathematical Sciences Universiti Teknologi MARA Shah Alam Selangor 40450 Malaysia System Science Studies Faculty of Computer and Mathematical Sciences Universiti Teknologi MARA Shah Alam Selangor 40450 Malaysia

ISBN: (纸本)9783642253263

software cost estimation process is frequently debated by software development community for decades. In order to estimate the cost, numerous methods can be used such as an expert judgment, algorithmic model or parametric, top-down approach, price-to-win, bottom-up and many more. Questionnaire and literature survey were carried out in this study. The result from the survey shows that the expert judgment method, which is based on experience and past estimation histories, is commonly use to estimate cost in software development project while the result from the literature shows that COCOMO II provides accurate result because many variables are being considered including the reuse of parameter besides the expert judgment. As a conclusion, expert judgment and algorithmic model are widely used as methods in software cost estimation process and the process was done manually. The integration of these two methods helps in producing accurate result for cost estimation process. © 2011 Springer-Verlag.

关键词： Project management

来源：评论

学校读者我要写书评

暂无评论

Validating the instrument of study anxiety sources using factor analysis

引用

Procedia - Social and Behavioral Sciences 2011年 15卷 3831-3836页

作者： Prima Vitasari Muhammad Nubli Abdul Wahab Tutut Herawan Ahmad Othman Suriya Kumar Sinnadurai Faculty of Manufacturing Engineering and Technology Management Center of Modern Language and Human Science Faculty of Computer System and Software Engineering Universiti Malaysia Pahang Lebuhraya Tun Razak 26300 Kuantan Pahang MALAYSIA

Anxiety can be referred as an underlying source of students’ fears during their study process. Several researches have proposed and identified the anxiety sources among students. However, not many proposals are concerned on validating the instrument of study anxiety sources. In this paper, the validation of the instrument of study anxiety sources is described. For identifying study anxiety sources, a total 300 students of University Malaysia Pahang (UMP) participated in this survey during second semester in the academic year 2008/2009. Findings from 7 dimensions in identifying of study anxiety sources show that all items had achieved validity as analysed by factor analysis. These sources are exam anxiety, presentation anxiety, mathematics anxiety, language anxiety, social anxiety, family anxiety, and library anxiety. Since, the Cronbach alpha of reliability was acceptable, it can be concluded that the associations of students feeling, thought, and experiences toward study anxiety sources support the validity of the instrument.

关键词： Factor analysis Validity Study anxiety Student.

来源：评论

学校读者我要写书评

暂无评论

Super attribute representative for decision attribute selection

Super attribute representative for decision attribute select...

引用

2nd International Conference on software engineering and computer systems, ICSECS 2011

作者： Mamat, Rabiei Herawan, Tutut Mat Deris, Mustafa Department of Computer Science Universiti Malaysia Terengganu Gong Badak 21030 Kuala Terengganu Terengganu Malaysia Faculty of Computer System and Software Engineering Universiti Malaysia Pahang Lebuhraya Tun Razak Gambang 26300 Kuantan Pahang Malaysia Faculty of Computer Science and Information Technology Universiti Tun Hussein Onn Malaysia Parit Raja Batu Pahat 86400 Johor Malaysia

ISBN: (纸本)9783642221903

Soft set theory proposed by Molodstov is a general mathematic tool for dealing with uncertainties. Recently, several algorithms had been proposed for decision making using soft set theory. However, these algorithms still concern on a Boolean-valued information system. In this paper, Support Attribute Representative (SAR), a soft set based technique for decision making in categorical-valued information system is proposed. The proposed technique has been tested on two datasets. The results of this research will provide useful information for decision makers to handle categorical datasets. © 2011 Springer-Verlag.

关键词： Data mining

来源：评论

学校读者我要写书评

暂无评论

An alternative measure for mining weighted least association rule and its framework

An alternative measure for mining weighted least association...

引用

2nd International Conference on software engineering and computer systems, ICSECS 2011

作者： Abdullah, Zailani Herawan, Tutut Mat Deris, Mustafa Department of Computer Science Universiti Malaysia Terengganu Gong Badak 21030 Kuala Terengganu Terengganu Malaysia Faculty of Computer System and Software Engineering Universiti Malaysia Pahang Lebuh Raya Tun Razak Gambang Kuantan 26300 Malaysia Faculty of Computer Science and Information Technology Universiti Tun Hussein Onn Malaysia Parit Raja Batu Pahat 86400 Johor Malaysia

ISBN: (纸本)9783642221903

Mining weighted based association rules has received a great attention and consider as one of the important area in data mining. Most of the items in transactional databases are not always carried with the same binary value. Some of them might associate with different level of important such as the profit margins, weights, etc. However, the study in this area is quite complex and thus required an appropriate scheme for rules detection. Therefore, this paper proposes a new measure called Weighted Support Association Rules (WSAR*) measure to discover the significant association rules and Weighted Least Association Rules (WELAR) framework. Experiment results shows that the significant association rules are successfully mined and the unimportant rules are easily differentiated. Our algorithm in WELAR framework also outperforms the benchmarked FP-Growth algorithm. © 2011 Springer-Verlag.

关键词： Association rules

来源：评论

学校读者我要写书评

暂无评论

Assessing of Physiological Arousal and Cognitive Anxiety toward Academic Performance: The Application of Catastrophe Model

引用

Procedia - Social and Behavioral Sciences 2011年 30卷 615-619页

作者： Prima Vitasari Muhammad Nubli Abdul Wahab Tutut Herawan Suriya Kumar Sinnadurai Ahmad Othman Muhamad Ghani Awang Faculty of Manufacturing Engineering and Technology Management Center of Modern Language and Human Science Faculty of Computer System and Software Engineering Universiti Malaysia Pahang Lebuhraya Tun Razak 26300 Kuantan Pahang Malaysia

The Catastrophe model in which the theory attempts to explain the interaction of physiological arousal cognitive anxiety affect on sport's performance. The model is important to understand the influence of anxiety upon performance. This research proposes a model to understand the effect of anxiety upon academic performance. The research consists with finding on the Catastrophe model of anxiety upon sport's performance. A total 135 students were participated in this study conducted during 2 nd semester. The physiological arousal was measured using heart rate sensor and respiration sensor. Meanwhile, cognitive anxiety was measure using State Trait Anxiety Inventory (STAI) and Study Anxiety Scale (SAS). Furthermore, Grade Point Average (GPA) is employed to predict students’ academic performance. For assessment, the Pearson correlation was used to assess the physiological arousal and cognitive anxiety toward academic performance. The finding shows that high level of physiological arousal and cognitive anxiety is a significant factor that creates low academic performance. Based on the finding, it is concluded that the model can be use to comprehend of relationship between anxiety toward academic performance.

关键词： physiological arousal cognitive anxiety student catastrophe academic performance

来源：评论

学校读者我要写书评

暂无评论

The Group Method of Data Handling （GMDH） and Artificial Neural Networks （ANN）in Time-Series Forecasting of Rice Yield

引用

材料科学与工程（中英文B版） 2011年第3期1卷 378-387页

作者： Nadira Mohamed Isa Shabri Ani Samsudin Ruhaidah Department of Mathematics Faculty of Science Universiti Teknologi Malaysia Skudai 81310 Johor Malaysia Department of Software Engineering Faculty of Computer Science and Information System Universiti Teknologi Malaysia Skudai 81310 Johor Malaysia

来源：评论

学校读者我要写书评

暂无评论

Mining significant association rules from educational data using critical relative support approach

引用

Procedia - Social and Behavioral Sciences 2011年 28卷 97-101页

作者： Zailani Abdullah Tutut Herawan Noraziah Ahmad Mustafa Mat Deris Department of Computer Science Universiti Malaysia Terengganu 21030 Kuala Terengganu Terengganu Malaysia Faculty of Computer System and Software Engineering Universiti Malaysia Pahang Lebuhraya Tun Razak 26300 Kuantan Pahang Malaysia Faculty of Computer Science and Multimedia Parit Raja Batu Pahat 86400 Johor Malaysia

Least association rules are the association rules that consist of the least item. These rules are very important and critical since they can be used to detect the infrequent events and exceptional cases. However, the formulation of measurement to efficiently discover least association rules is quite intricate and not really straight forward. In educational domain, this information is very useful since it can be used as a base for investigating and enhancing the current educational standards and managements. Therefore, this paper proposes a new measurement called Critical Relative Support (CRS) to mine critical least association rules from educational context. Experiment with students’ examination result dataset shows that this approach can be used to reveal the significant rules and also can reduce up to 98% of uninterested association rules.

关键词： Least association rules Educational Critical relative support

来源：评论

学校读者我要写书评

暂无评论

Extracting highly positive association rules from students’ enrollment data

引用

Procedia - Social and Behavioral Sciences 2011年 28卷 107-111页

作者： Zailani Abdullah Tutut Herawan Noraziah Ahmad Mustafa Mat Deris Department of Computer Science Universiti Malaysia Terengganu 21030 Kuala Terengganu Terengganu Malaysia Faculty of Computer System and Software Engineering Universiti Malaysia Pahang Lebuhraya Tun Razak 26300 Kuantan Pahang Malaysia Faculty of Computer Science and Information Technology Parit Raja Batu Pahat 86400 Johor Malaysia

Association Rules Mining is one of the popular techniques used in data mining. Positive association rules are very useful in correlation analysis and decision making processes. In educational context, determine a “right” program to the students is very unclear especially when their chosen programs are not selected. In this case, normally they will be offered to other programs based on the programs availability and not according to their program's field interests. The main concern is, by assigning inappropriate program which is not reflected their overall interest; it may create serious problems such as poorly in academic commitment and academic achievement. Therefore, Therefore in this paper, we proposed a model which consists of pre-processing, mining patterns and assigning weight to discover highly positive association rules. We examined the previous chosen programs by computer science students in our university for July 2008/2009 intake. The result shows that the proposed model can mine association rules with high correlation. Moreover, for data analysis, there are existed students that have been offered in computer science program at our university but not within their program's field interests.

关键词： Positive association rules Educational Progams

来源：评论

学校读者我要写书评

暂无评论

Contractor selection using fuzzy comparison judgement

Contractor selection using fuzzy comparison judgement

引用

Malaysian Conference in software engineering (MySEC)

作者： Ros Haslinda Alias Noor Maizura Mohamad Noor Md Yazid Mohd Saman Mohd Lazim Abdullah Ali Selamat Universiti Malaysia Terengganu Kuala Terengganu Terengganu MY Software Engineering Department Faculty of Computer Science and Information System Universiti Teknologi Malaysia Johor Darul Takzim Malaysia

A model is proposed for selecting the optimal result of contractor selection under multi criteria environment. Fuzzy comparing judgment is used to tackling the vagueness and uncertainty in choosing significant preferences by decision maker regarding to the subjective opinion. Finally, the model was tested in tender evaluation processes for awarding the most beneficial contractor to perform the construction project.

关键词： Decision making Vectors Fuzzy sets Pragmatics Humans Mathematical model Expert systems

来源：评论

学校读者我要写书评

暂无评论

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：

请选择收藏分类：

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

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：