Int. J. Knowl. Eng. Soft Data Paradigms最新文献_第2页

Using mixed integer optimisation to select variables for a store choice model 使用混合整数优化为存储选择模型选择变量

Int. J. Knowl. Eng. Soft Data Paradigms Pub Date : 2016-04-01 DOI: 10.1504/IJKESDP.2016.075980

Toshiki Sato, Yuichi Takano, Takanobu Nakahara

引用次数: 3

A two-nation experiment to investigate the relationships among national culture, individual-level cultural variables and consumer attitudes toward advertising websites and the brand 一个两国实验，以调查国家文化，个人层面的文化变量和消费者对广告网站和品牌的态度之间的关系

Int. J. Knowl. Eng. Soft Data Paradigms Pub Date : 2016-04-01 DOI: 10.1504/IJKESDP.2016.075984

K. Kishiya, Gordon E. Miracle

引用次数: 0

Prediction of consumer purchase behaviour using Bayesian network: an operational improvement and new results based on RFID data 使用贝叶斯网络预测消费者购买行为:基于RFID数据的操作改进和新结果

Int. J. Knowl. Eng. Soft Data Paradigms Pub Date : 2016-04-01 DOI: 10.1504/IJKESDP.2016.075976

Y. Zuo

引用次数: 10

Assessment of basic clustering techniques using teaching-learning-based optimisation 基于教-学优化的基本聚类技术评估

Int. J. Knowl. Eng. Soft Data Paradigms Pub Date : 2016-04-01 DOI: 10.1504/IJKESDP.2016.075977

B. Mishra, N. Nayak, A. Rath

{"title":"Assessment of basic clustering techniques using teaching-learning-based optimisation","authors":"B. Mishra, N. Nayak, A. Rath","doi":"10.1504/IJKESDP.2016.075977","DOIUrl":"https://doi.org/10.1504/IJKESDP.2016.075977","url":null,"abstract":"There has been lot of talk regarding the initial cluster centre selection, because a bad centroid may result in malicious clustering. Due to this reason, we have taken the help of a latest population-based evolutionary optimisation technique called teaching-learning-based optimisation TLBO for selecting near about optimum cluster centres. After getting the finest initial centroids, we perform the necessary clustering by means of our proposed Enhanced clustering algorithm. In this paper, we have evaluated and assessed the performances of three different TLBO-based clustering algorithms: TLBO-supported classical K-means, TLBO-based fuzzy c-mean and our proposed approach of TLBO-based data clustering. Their clustering efficiency has been compared in conjunction with two typical cluster validity indices, namely the Davies-Bouldin's index and the Dunn's index. We extend our comparison by taking into account their calculated average quantisation error. Each algorithm is then tested on several datasets taken from UCI repository of machine learning databases. Experimental results show that our proposed approach produces better clustering with minimum quantisation error for most of the datasets as compared to the other discussed methods. Also the problem of initial centre selection is minimised to a greater extent.","PeriodicalId":347123,"journal":{"name":"Int. J. Knowl. Eng. Soft Data Paradigms","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130903729","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Estimation of customer behaviour in sales areas in a supermarket using a hidden Markov model 用隐马尔可夫模型估计超市销售区域的顾客行为

Int. J. Knowl. Eng. Soft Data Paradigms Pub Date : 2016-04-01 DOI: 10.1504/IJKESDP.2016.075981

Natsuki Sano

{"title":"Estimation of customer behaviour in sales areas in a supermarket using a hidden Markov model","authors":"Natsuki Sano","doi":"10.1504/IJKESDP.2016.075981","DOIUrl":"https://doi.org/10.1504/IJKESDP.2016.075981","url":null,"abstract":"Many studies have been devoted to grasping the customer's purchase decision process by using point-of-sales data. A few recent studies gathered customer shopping path data by using radio frequency identification technology in addition to point-of-sales data in an attempt to grasp customers' in-store behaviour in more detail. However, customer shopping path data only provides coordinate information in a store, whereas an estimation of the state of customer behaviour is needed. This paper proposes a customer behaviour model based on a hidden Markov model, which is used to estimate two states of customer behaviour in a sales area, namely, 'pass by' and 'stop'. In addition, we propose three evaluation measures of sales areas: non-purchase rate after stop, purchase rate after pass by, and stop rate based on the estimated state of customer behaviour. These measures are useful for the assessment of sales areas. In addition, shopping momentum is known as a state of mind that induces a subsequent purchase while shopping. We identify the customers who are experiencing shopping momentum by using point-of-sales and customer shopping path data and compare their purchase results with those of other customers.","PeriodicalId":347123,"journal":{"name":"Int. J. Knowl. Eng. Soft Data Paradigms","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117173935","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Implementation of optimum binning, ensemble learning and re-sampling techniques to predict student's performance 运用最佳分类、集合学习和重新抽样技术来预测学生的表现

Int. J. Knowl. Eng. Soft Data Paradigms Pub Date : 2015-12-01 DOI: 10.1504/IJKESDP.2015.073454

Raisul Islam Rashu, Syed Tanveer Jishan, N. Haque, R. Rahman

{"title":"Implementation of optimum binning, ensemble learning and re-sampling techniques to predict student's performance","authors":"Raisul Islam Rashu, Syed Tanveer Jishan, N. Haque, R. Rahman","doi":"10.1504/IJKESDP.2015.073454","DOIUrl":"https://doi.org/10.1504/IJKESDP.2015.073454","url":null,"abstract":"Educational data-mining is an emerging area of research that could extract useful information for the students as well as for the instructors. In this research, we explore data mining techniques that predict students' final grade. We validate our method by conducting experiments on data that are related to grade for courses in North South University, the first private university and one of the leading universities in higher education in Bangladesh. We also extend our ideas through discretisation of the continuous attributes by equal width binning and incorporate it on traditional mining algorithms. However, due to imbalanced nature of data, we got lower accuracy for imbalanced classes. We implement two re-sampling techniques, i.e., ROS random over sampling, RUS random under sampling. Experimental results show that re-sampling techniques could overcome the problem of imbalanced dataset in classification significantly and improve the performance of the classification models. Moreover, three ensemble techniques, namely, bagging, boosting AdaBoost and random forests have been applied in this research to predict the students' academic performance.","PeriodicalId":347123,"journal":{"name":"Int. J. Knowl. Eng. Soft Data Paradigms","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127510639","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

The design and development of a mobile communication tool for autistic individuals - AutiSay 为自闭症患者设计和开发一个移动通信工具——AutiSay

Int. J. Knowl. Eng. Soft Data Paradigms Pub Date : 2015-12-01 DOI: 10.1504/IJKESDP.2015.073460

Nyuk Hiong Voon, Abdullah Maidin, Halina Jumaat, M. Z. Ahmad, Siti Nor Bazilah

引用次数: 2

Quantifying aesthetic beauty through its dimensions: a case study on trochoids 通过其维度来量化美感:以菱形肌为例

Int. J. Knowl. Eng. Soft Data Paradigms Pub Date : 2015-12-01 DOI: 10.1504/IJKESDP.2015.073479

Noor Deenina Hj Mohd Salleh, S. Phon-Amnuaisuk

{"title":"Quantifying aesthetic beauty through its dimensions: a case study on trochoids","authors":"Noor Deenina Hj Mohd Salleh, S. Phon-Amnuaisuk","doi":"10.1504/IJKESDP.2015.073479","DOIUrl":"https://doi.org/10.1504/IJKESDP.2015.073479","url":null,"abstract":"This paper examines the aesthetic dimensions of the patterns generated from trochoids. A virtual trochoid was implemented and its parameters were varied to generate various patterns. These patterns were evaluated by a group of 101 participants. Inspired by Birkhoffs concept of measuring aesthetics, order to complexity, we calculated order as the quality related to composition and complexity as the quality related to the intricacy of the structure. The result of this experiment suggests that the aesthetic measure was able to predict at least half of the preferred patterns by the participants and that those with art experience were more developed in considering a balanced composition. There were also certain patterns that both the experienced and non-experienced participants agreed on. This was further analysed using Arnheims theory of compositional weight, where size, colour, negative space and central perceptual force determines whether the trochoids had a sense of unity in its composition. To quantify these factors, the patterns ink density, ink distribution and ink gradient were measured. Our findings suggest that Birkhoffs aesthetic measure reveals useful aesthetic information of trochoid patterns and that patterns that are cohesive appears to be more appealing.","PeriodicalId":347123,"journal":{"name":"Int. J. Knowl. Eng. Soft Data Paradigms","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124654547","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Library material acquisition based on association rule mining 基于关联规则挖掘的图书馆资料获取

Int. J. Knowl. Eng. Soft Data Paradigms Pub Date : 2014-08-01 DOI: 10.1504/IJKESDP.2014.064262

Md. Hossain, R. Rahman

引用次数: 3

Event coreference resolution using particle swarm optimisation 使用粒子群优化的事件共参考分辨率

Int. J. Knowl. Eng. Soft Data Paradigms Pub Date : 2014-08-01 DOI: 10.1504/IJKESDP.2014.064264

S. Sangeetha, M. Arock

引用次数: 0