2016 International Conference on Computing Technologies and Intelligent Data Engineering (ICCTIDE'16)最新文献_第3页

Using k-means clustering algorithm for handling data precision 采用k-means聚类算法处理数据精度

2016 International Conference on Computing Technologies and Intelligent Data Engineering (ICCTIDE'16) Pub Date : 1900-01-01 DOI: 10.1109/ICCTIDE.2016.7725374

P. Suganthi, K. Kala, C. Balasubramanian

{"title":"Using k-means clustering algorithm for handling data precision","authors":"P. Suganthi, K. Kala, C. Balasubramanian","doi":"10.1109/ICCTIDE.2016.7725374","DOIUrl":"https://doi.org/10.1109/ICCTIDE.2016.7725374","url":null,"abstract":"The sensitive data are patient record details, organization record which are handled only administrative member. Preservation of privacy is a major feature of data mining and individual's privacy without losing of confidential data. The objective of privacy preserving data mining is to mine significant information from large amounts of dataset. To prevent the misuse of sensitive information such as patient record by the system administrator. The database administrator collects patient's data which are maintained in secured manner. The sensitive information has patient's name, Address, Disease, Date of Visit. The privacy preservation mechanism can be carried out through anonymization techniques. In order to preserve the sensitive data, the system administrator modifying the patient details. Privacy preserving techniques used to handle the sensitive information from unsanctioned users. The proposal system is original patient record should be transformed into Anonymized table which is identified only by administrative. To keep anonymized table in cluster form using k-means clustering algorithm. To keep anonymized table in cluster form using k-means clustering algorithm. To partition anonymized table into cluster, and each cluster has similar data object which is based on anonymized data attribute. After that the grouped similar data to be protected using AES encryption algorithm. The aim of this paper is to provide more accuracy and better level of privacy of sensitive attribute.","PeriodicalId":159789,"journal":{"name":"2016 International Conference on Computing Technologies and Intelligent Data Engineering (ICCTIDE'16)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123702466","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

Semantic similarity based assessment of descriptive type answers 基于语义相似性的描述性答案评估

2016 International Conference on Computing Technologies and Intelligent Data Engineering (ICCTIDE'16) Pub Date : 1900-01-01 DOI: 10.1109/ICCTIDE.2016.7725366

K. Meena, R. Lawrance

{"title":"Semantic similarity based assessment of descriptive type answers","authors":"K. Meena, R. Lawrance","doi":"10.1109/ICCTIDE.2016.7725366","DOIUrl":"https://doi.org/10.1109/ICCTIDE.2016.7725366","url":null,"abstract":"The knowledge assessment and competence is an important division in an education procedure. An automatic evaluation system would be used to make sure the confidentiality and neutrality of evaluation. In this paper, proposed an algorithm called Assessment algorithm that uses semantic similarity for evaluation of detailed type answers. It will eradicate the inconsistency in the manual assessment. Also, for preprocessing proposed an algorithm for pruning and stemming which is used to reduce the size of the descriptive type answers. Stemmed words are converted to vectors using the semantic method, Latent Semantic Analysis (LSA). The vectors obtained from the semantic method are clustered using the Self-organizing map. Cosine similarity is used to measure the similarity between two vectors. Based on the value returned by the similarity measure, marks will be awarded. The proposed system will be experienced with detailed type answers written by the student. This method resulted in good precision, improved dependability of results, reduced the time and effort taken by the staff. The time complexity of the proposed algorithm is O (n).","PeriodicalId":159789,"journal":{"name":"2016 International Conference on Computing Technologies and Intelligent Data Engineering (ICCTIDE'16)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130532563","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: 6

Community formation based influence node selection for information diffusion in online social network 基于社区形成的在线社交网络信息扩散影响节点选择

2016 International Conference on Computing Technologies and Intelligent Data Engineering (ICCTIDE'16) Pub Date : 1900-01-01 DOI: 10.1109/ICCTIDE.2016.7725363

P. Kumaran, S. Chitrakala

引用次数: 4

Evaluation of the performance analysis in fuzzy queueing theory 模糊排队理论中性能分析的评价

2016 International Conference on Computing Technologies and Intelligent Data Engineering (ICCTIDE'16) Pub Date : 1900-01-01 DOI: 10.1109/ICCTIDE.2016.7725348

S. Geetha, V. Ramalakshmi, S. Bhuvaneeswari, B. Rameshkumar

引用次数: 4

Secure communication between wireless medical sensor networks and data servers using paillier and elgamal key cryptosystem 无线医疗传感器网络和数据服务器之间的安全通信，使用paillier和电子密钥密码系统

2016 International Conference on Computing Technologies and Intelligent Data Engineering (ICCTIDE'16) Pub Date : 1900-01-01 DOI: 10.1109/ICCTIDE.2016.7725333

A. Vasukidevi, M. Jayalakshmi, V. Gomathi

引用次数: 2

Features analysis of person re-identification techniques 人物再识别技术的特征分析

2016 International Conference on Computing Technologies and Intelligent Data Engineering (ICCTIDE'16) Pub Date : 1900-01-01 DOI: 10.1109/ICCTIDE.2016.7725330

E. Poongothai, A. Suruliandi

引用次数: 3

Fragmented query parse tree based SQL injection detection system for web applications 基于碎片查询解析树的web应用SQL注入检测系统

2016 International Conference on Computing Technologies and Intelligent Data Engineering (ICCTIDE'16) Pub Date : 1900-01-01 DOI: 10.1109/ICCTIDE.2016.7725367

B. Deva Priyaa, M. Devi

{"title":"Fragmented query parse tree based SQL injection detection system for web applications","authors":"B. Deva Priyaa, M. Devi","doi":"10.1109/ICCTIDE.2016.7725367","DOIUrl":"https://doi.org/10.1109/ICCTIDE.2016.7725367","url":null,"abstract":"Increasing use of database driven web applications every day causes attacks on those web applications are also increasing. The common web application attack is SQL Injection attack or code injection or insertion of SQL query via input data from the client to the application. There are many detection techniques focused on the SQL structure at the application level are available. Those techniques failed to detect some of the attacks at the database level. Many existing approaches were proposed to detect the attack at the database level. The existing approach uses SVM classification for classification, which is the supervised learning algorithm, uses the syntactic and semantic features of the query parse tree. It takes more time for preprocessing of the query parse tree. In this paper, we fragmented the query parse tree to increase the speed of the preprocessing. The internal query tree can be obtained from the database log. To get instances for classification, the query tree is converted to n - dimensional feature vector by using multi - dimensional sequence. The semantic features are used as the component of feature vectors. And also the syntactic and semantic features are used to generate multi - dimensional sequences. Then the extracted feature is converted into a numeric value, if the feature contains any string value. Experimental results show that the proposed approach is more accurate and fast in detecting the attacks than existing approaches.","PeriodicalId":159789,"journal":{"name":"2016 International Conference on Computing Technologies and Intelligent Data Engineering (ICCTIDE'16)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130938043","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: 6

Data collection using score based load balancing algorithm in wireless sensor networks 基于分数的无线传感器网络负载均衡算法的数据采集

2016 International Conference on Computing Technologies and Intelligent Data Engineering (ICCTIDE'16) Pub Date : 1900-01-01 DOI: 10.1109/ICCTIDE.2016.7725323

Vaishali S. Gattani, S. M. Haider Jafri

引用次数: 17

Allergy information ontology for enlightening people 过敏信息本体，为人们提供启示

2016 International Conference on Computing Technologies and Intelligent Data Engineering (ICCTIDE'16) Pub Date : 1900-01-01 DOI: 10.1109/ICCTIDE.2016.7725329

A. Velmurugan, T. Ravi

{"title":"Allergy information ontology for enlightening people","authors":"A. Velmurugan, T. Ravi","doi":"10.1109/ICCTIDE.2016.7725329","DOIUrl":"https://doi.org/10.1109/ICCTIDE.2016.7725329","url":null,"abstract":"Allergy is a rare disease in less than a half century. But today, it has become a major health issue among people. It affects the lives of probably close to one million worldwide. In India, rough estimates indicate a prevalence of between 10 percentages and 15 percentages in 5-11 year old children. In order to attain consistent results on prevention, there is the need to give more importance to research on allergy. The objective of this article is to describe the current understanding of allergy among people, the complete information about allergy by developing allergy information ontology. It leads to improving people's education on allergy to prevent allergy diseases. Because, allergy is spontaneous and it can occur anytime during the year or last year around. This allergy ontology is constructed through protégé to accomplish the system properly and to attain effective results. It covers most salient classes and their properties and restrictions to represent domain knowledge. At the end of this paper, HermiT reasoner was used to check inconsistency and SPARQL queries used to obtain required information.","PeriodicalId":159789,"journal":{"name":"2016 International Conference on Computing Technologies and Intelligent Data Engineering (ICCTIDE'16)","volume":"51 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132070213","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: 8

An intelligent similarity measure for effective text document clustering 一种用于有效文本文档聚类的智能相似度度量

2016 International Conference on Computing Technologies and Intelligent Data Engineering (ICCTIDE'16) Pub Date : 1900-01-01 DOI: 10.1109/ICCTIDE.2016.7725342

M. Aishwarya, K. Selvi

引用次数: 3