2014 International Conference on Intelligent Computing Applications最新文献

A Study on Direct Influence in Online Social Networks 在线社交网络中的直接影响研究

2014 International Conference on Intelligent Computing Applications Pub Date : 2014-03-06 DOI: 10.1109/ICICA.2014.85

Jane E. Klobas, L. Clyde, Habib M. Fardoun, Matthew S. Weber, M. Kasavana, Khaldoon “Khal” Nusair, Panayiotis Zaphiris, Keith S. Coulter

{"title":"A Study on Direct Influence in Online Social Networks","authors":"Jane E. Klobas, L. Clyde, Habib M. Fardoun, Matthew S. Weber, M. Kasavana, Khaldoon “Khal” Nusair, Panayiotis Zaphiris, Keith S. Coulter","doi":"10.1109/ICICA.2014.85","DOIUrl":"https://doi.org/10.1109/ICICA.2014.85","url":null,"abstract":"Online social networks are gaining momentum in an exceedingly fast succession ever since from their commencement as they lay a robust platform to share the knowledge seeping into everybody who cares about it. In this gogetting world substantial quantity of success depends on how quickly one is ready to succeed resolutely the most hodgepodges of individuals. There are only a few who will have preponderating thought of influence on others. Quintessence of the matter is to choose right individuals whose influence is incontestable so as to propagate the influence with minimum effort. These seeding individuals will successively be accustomed to build an upward notion in areas like politics, all sorts of education together with health and farming, introduce a product or service within the market, to revolutionize any formal setup surroundings of a piece non-public and public, coaching staff, transmute in thinking patterns of the society and its life trends, to proliferate advanced deliberations within the minds of individuals and likewise. This paper employs Pareto front function to spot the eminent leaders that is followed by the empirical analysis of the results of their undeviating influence.","PeriodicalId":312713,"journal":{"name":"2014 International Conference on Intelligent Computing Applications","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115599343","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: 0

IndexedFCP - An Index Based Approach to Identify Frequent Contiguous Patterns (FCP) in Big Data IndexedFCP——基于索引的大数据频繁连续模式(FCP)识别方法

2014 International Conference on Intelligent Computing Applications Pub Date : 2014-03-06 DOI: 10.1109/ICICA.2014.15

R. Devikarubi, R. D. Rubi, L. Arockiam

引用次数: 2

Ontology Based Semantic Search: An Introduction and a Survey of Current Approaches 基于本体的语义搜索:现有方法的介绍与综述

2014 International Conference on Intelligent Computing Applications Pub Date : 2014-03-06 DOI: 10.1109/ICICA.2014.82

A. Ramkumar, B. Poorna

引用次数: 19

Performance Analysis of Various Segmentation Techniques in Breast Mammogram Images 乳腺x线图像中各种分割技术的性能分析

2014 International Conference on Intelligent Computing Applications Pub Date : 2014-03-06 DOI: 10.1109/ICICA.2014.56

S. Sasikala, M. Ezhilarasi, P. Sudharsan, C. Sivakumari

引用次数: 7

Speech Recognition Tools for Mobile Phone - A Comparative Study 手机语音识别工具的比较研究

2014 International Conference on Intelligent Computing Applications Pub Date : 2014-03-06 DOI: 10.1109/ICICA.2014.93

R. Vishnupriya, T. Devi

引用次数: 7

On the Secure Storage and Transmission of Health Care Records Based on DNA Sequences 基于DNA序列的医疗记录安全存储与传输研究

2014 International Conference on Intelligent Computing Applications Pub Date : 2014-03-06 DOI: 10.1109/ICICA.2014.33

A. Murugan, Grasha Jacob

引用次数: 6

Simplified MCDM Analytical Weighted Model for Ranking Classifiers in Financial Risk Datasets 金融风险数据分类器排序的简化MCDM分析加权模型

2014 International Conference on Intelligent Computing Applications Pub Date : 2014-03-06 DOI: 10.1109/ICICA.2014.42

Y. Beulah Jeba Jaya, J. Tamilselvi

{"title":"Simplified MCDM Analytical Weighted Model for Ranking Classifiers in Financial Risk Datasets","authors":"Y. Beulah Jeba Jaya, J. Tamilselvi","doi":"10.1109/ICICA.2014.42","DOIUrl":"https://doi.org/10.1109/ICICA.2014.42","url":null,"abstract":"One of the most challenging tasks in data mining is to choose a better classifier for classification problems as this involves multiple criteria. The multiple criteria decision making (MCDM) techniques are noteworthy to judge different alternatives on various criteria. In this paper, a simplified MCDM technique is applied to make a judgement on different alternatives (classifiers) among multiple criteria in financial risk datasets. For this purpose, the paired t-test statistical significance test and significant win-loss tables are used to determine the performance scores for each classifier. Then, the weights are determined using an analytic hierarchy process (AHP) and finally simplified MCDM weighted sum model is applied to rank the classifiers. In addition, the efficiency of this simplified MCDM method is compared with other top MCDM methods such as TOPSIS, PROMETHEE and VIKOR to evaluate if there are any discrepancies in ranking. Analysis has been done for the three financial risk datasets from the UCI machine learning repository and surprisingly this simplified approach and the other top MCDM methods produce consistent rankings. Logistic regression and Bayesnet are ranked as the top two classifiers for financial risk datasets by this simplified approach and the other top MCDM methods. The simplified MCDM model can be applied to rank the classifiers which use simplified backgrounds in making right decisions among multiple criteria.","PeriodicalId":312713,"journal":{"name":"2014 International Conference on Intelligent Computing Applications","volume":"74 7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128052586","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: 9

A Framework for Analysis of Purchase Dissonance in Recommender System Using Association Rule Mining 基于关联规则挖掘的推荐系统购买不协调分析框架

2014 International Conference on Intelligent Computing Applications Pub Date : 2014-03-06 DOI: 10.1109/ICICA.2014.41

D. Surendren, V. Bhuvaneswari

{"title":"A Framework for Analysis of Purchase Dissonance in Recommender System Using Association Rule Mining","authors":"D. Surendren, V. Bhuvaneswari","doi":"10.1109/ICICA.2014.41","DOIUrl":"https://doi.org/10.1109/ICICA.2014.41","url":null,"abstract":"Recommender System plays a vital role in various domains like E-Commerce, Entertainment, and News and currently in social networking. It is used as a tool in marketing for attracting the interest of customer. The purchase patterns of customer dependent on both psychological and external attributes. Generally customers' purchases vary with respect to their mood swings. It becomes a need for Recommender System to incorporate psychological concepts for understanding customer role for predicting user interests. The objective of the paper is to design a framework for Recommender System incorporating cognitive dissonance a psychological factor. The recommender system is designed as a hybrid system which combines both content and collaborative concepts using association rule mining concept a data mining technique. The experimental result of the framework are tested and analyzed for mobile industry to analyse the dissonance in choosing mobile tariff plans. The experimental results it is found that customers are affected with 16% of post purchase dissonance in opting for mobile tariffs. It is found that the recommender System when designed with psychological inputs provides a better mechanism for making effective decision for introducing new marketing strategy.","PeriodicalId":312713,"journal":{"name":"2014 International Conference on Intelligent Computing Applications","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122283253","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

Lively Precedence and Overloaded Resource Based Approach to Virtual Machine Assignment Problem in a Datacenter Environment 基于动态优先和过载资源的数据中心环境下虚拟机分配问题研究

2014 International Conference on Intelligent Computing Applications Pub Date : 2014-03-06 DOI: 10.1109/ICICA.2014.72

T. Thiruvenkadam, V. Karthikeyani

引用次数: 5

Adeptness Evaluation of Memory Based Classifiers for Credit Risk Analysis 信用风险分析中基于记忆分类器的适应性评价

2014 International Conference on Intelligent Computing Applications Pub Date : 2014-03-06 DOI: 10.1109/ICICA.2014.39

C. Devasena

引用次数: 16