Proceedings of the International Conference on Advances in Information Communication Technology & Computing最新文献_第9页

A More Private & Secure E-Mail System using Image Steganography (EPS) and Data Mining 使用图像隐写术(EPS)和数据挖掘的更加私密和安全的电子邮件系统

Proceedings of the International Conference on Advances in Information Communication Technology & Computing Pub Date : 2016-08-12 DOI: 10.1145/2979779.2979827

Ruchi Sharma, Nidhi Sharma

{"title":"A More Private & Secure E-Mail System using Image Steganography (EPS) and Data Mining","authors":"Ruchi Sharma, Nidhi Sharma","doi":"10.1145/2979779.2979827","DOIUrl":"https://doi.org/10.1145/2979779.2979827","url":null,"abstract":"Data mining is a practice of automatically exploring and analysis of large quantities of data in order to discover valid, potentially useful and understandable patterns in data [1]. The data provided may contain private and user sensitive data leads to increasing concern about privacy and how to preserve it? Basically privacy preserving is an important issue in the field of data mining which deals with hiding individual's sensitive identity against unsolicited disclosure. There is also need of privacy preserving methods of communication which we are using regularly such as E-mail. E-mail is one of the most popular mode of communication due to its low cost, better usage of mails and business potentials. In order to discover user need and knowledge in mailing various data mining techniques have been applied on e-mail data to find unknown pattern. As email data also contains sensible information. In today's world people have become well aware of the privacy threats on their personal and sensitive data which is kept on e-mail is viewed anywhere. In this paper, we present a brief model for privacy and security on e-mail mining using a new designed steganography approach EPS(E-mail Privacy Steganography).","PeriodicalId":298730,"journal":{"name":"Proceedings of the International Conference on Advances in Information Communication Technology & Computing","volume":"173 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124616468","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

Dynamic Structure for Web Graphs with Extended Functionalities 具有扩展功能的Web图形的动态结构

Proceedings of the International Conference on Advances in Information Communication Technology & Computing Pub Date : 2016-08-12 DOI: 10.1145/2979779.2979825

Shruti Goyal, P. Bindu, P. S. Thilagam

引用次数: 0

Proceedings of the International Conference on Advances in Information Communication Technology & Computing 信息通信技术与计算国际会议论文集

Proceedings of the International Conference on Advances in Information Communication Technology & Computing Pub Date : 2016-08-12 DOI: 10.1145/2979779

S. Bishnoi, M. Kuri, V. Goar

引用次数: 0

Implementing an Authentication Mechanism for Machine Deletion on the Cloud 基于云的机器删除认证机制实现

Proceedings of the International Conference on Advances in Information Communication Technology & Computing Pub Date : 2016-08-12 DOI: 10.1145/2979779.2979878

P. Dubey, Vineeta Tiwari, Shweta A Chawla

引用次数: 0

A Novel Hybrid Ant Colony Optimization Approach to Terminal Assignment Problem 终端分配问题的一种新型混合蚁群优化方法

Proceedings of the International Conference on Advances in Information Communication Technology & Computing Pub Date : 2016-08-12 DOI: 10.1145/2979779.2979808

M. Prasad, Alok Singh

{"title":"A Novel Hybrid Ant Colony Optimization Approach to Terminal Assignment Problem","authors":"M. Prasad, Alok Singh","doi":"10.1145/2979779.2979808","DOIUrl":"https://doi.org/10.1145/2979779.2979808","url":null,"abstract":"Terminal Assignment (TA) problem is a well-known NP-hard problem in the domain of telecommunication networks. This problem deals with assignment of a given collection of terminals to a given collection of concentrators subject to some constraints. Each terminal is assumed to have a positive weight and each concentrator is assumed to have fixed capacity. TA problem assigns terminals to concentrators in such a way that each terminal is assigned to exactly one concentrator, and the aggregate weight of terminals assigned to any concentrator should not exceed its capacity. The objective of the TA problem is to minimize the weighted sum of distances of terminals from their assigned concentrators and the unbalance in loads on different concentrators as measured by a balance function. We have developed a hybrid ant colony optimization approach for the TA problem. Our approach is a combination of Vogel approximation method, an Ant Colony optimization algorithm, and a local search. Computational results on standard benchmark instances show that our proposed approach has performance comparable with other state-of-the-art metaheuristic approaches.","PeriodicalId":298730,"journal":{"name":"Proceedings of the International Conference on Advances in Information Communication Technology & Computing","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129533323","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

Rationale of Class and Feature size on Face Recognition 人脸识别中类和特征大小的基本原理

Proceedings of the International Conference on Advances in Information Communication Technology & Computing Pub Date : 2016-08-12 DOI: 10.1145/2979779.2979810

H. S. Jagadeesh, B. K. Suresh, K. Raja

引用次数: 0

RSJ Approach for User Authentication RSJ用户认证方法

Proceedings of the International Conference on Advances in Information Communication Technology & Computing Pub Date : 2016-08-12 DOI: 10.1145/2979779.2979880

A. Rawat, A. K. Singh, J. Jithin, N. Jeyanthi, R. Thandeeswaran

引用次数: 1

Analysis of Users' Comments on Political Portal for Extraction of Suggestions and Opinion Mining 基于建议抽取和意见挖掘的政治门户用户评论分析

Proceedings of the International Conference on Advances in Information Communication Technology & Computing Pub Date : 2016-08-12 DOI: 10.1145/2979779.2979870

Swati Verma, A. Ramamurthy

{"title":"Analysis of Users' Comments on Political Portal for Extraction of Suggestions and Opinion Mining","authors":"Swati Verma, A. Ramamurthy","doi":"10.1145/2979779.2979870","DOIUrl":"https://doi.org/10.1145/2979779.2979870","url":null,"abstract":"Online political portals contain a huge volume of users' comments. These comments express whether writer's attitude is positive, negative, or neutral towards the subject. In most of the comments, we find that there are suggestions or feedback also hidden along with the opinion. These suggestions or feedbacks from the mind of different people on various topics can potentially coin new fruitful idea or provide solution to a given problem. So, it is beneficial to determine the opinion and filter out the suggestions from comments. This helps greatly in social issues' analysis and development of people centric governance. Till date, most of the researches on sentiment analysis and suggestion mining have been done for comments related to product or services. Very less work has been done for analysis of comments related to social issues. Even recent algorithms give accuracy of 60 to 65 percent for opinion mining of social issues and a maximum of 73% accuracy for suggestion extraction. This paper focuses on evaluating the polarity of sentiment and extracting actionable key suggestions in users' comments on political portal. Current work gives 88% accuracy for suggestion extraction and approx 86% accuracy for Opinion Mining.","PeriodicalId":298730,"journal":{"name":"Proceedings of the International Conference on Advances in Information Communication Technology & Computing","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132567381","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: 5

Web Service Selection using Semantic Matching 使用语义匹配的Web服务选择

Proceedings of the International Conference on Advances in Information Communication Technology & Computing Pub Date : 2016-08-12 DOI: 10.1145/2979779.2979795

Dr. Lalit Purohit, Sandeep Kumar

引用次数: 15

A Feature Based Approach for Medical Databases 基于特征的医学数据库处理方法

Proceedings of the International Conference on Advances in Information Communication Technology & Computing Pub Date : 2016-08-12 DOI: 10.1145/2979779.2979873

Ritu Chauhan, Harleen Kaur, Sukrati Sharma

{"title":"A Feature Based Approach for Medical Databases","authors":"Ritu Chauhan, Harleen Kaur, Sukrati Sharma","doi":"10.1145/2979779.2979873","DOIUrl":"https://doi.org/10.1145/2979779.2979873","url":null,"abstract":"Medical data mining is an emerging field employed to discover hidden knowledge within the large datasets for early medical diagnosis of disease. Usually, large databases comprise of numerous features which may have missing values, noise and outliers. However, such features can mislead to future medical diagnosis. Moreover to deal with irrelevant and redundant features among large databases, proper pre processing data techniques needs be applied. In, past studies data mining technique such as feature selection is efficiently applied to deal with irrelevant, noisy and redundant features. This paper explains application of data mining techniques using feature selection for pancreatic cancer patients to conduct machine learning studies on collected patient records. We have evaluated different feature selection techniques such as Correlation-Based Filter Method (CFS) and Wrapper Subset Evaluation using Naive Bayes and J48 (an implementation of C4.5) classifier on medical databases to analyze varied data mining algorithms which can effectively classify medical data for future medical diagnosis. Further, experimental techniques have been used to measure the effectiveness and efficiency of feature selection algorithms. The experimental analysis conducted has proven beneficiary to determine machine learning methods for effective analysis of pancreatic cancer diagnosis.","PeriodicalId":298730,"journal":{"name":"Proceedings of the International Conference on Advances in Information Communication Technology & Computing","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130534088","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