2015 Fifth International Conference on Advanced Computing & Communication Technologies最新文献_第9页

Review of State Based Approach Recovery Schemes in Mobile Distributed Environments 移动分布式环境中基于状态的方法恢复方案综述

2015 Fifth International Conference on Advanced Computing & Communication Technologies Pub Date : 2015-02-21 DOI: 10.1109/ACCT.2015.19

Vijaya Kapoor, Parveen Kumar

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引用次数: 0

Reducing Features of KDD CUP 1999 Dataset for Anomaly Detection Using Back Propagation Neural Network 基于反向传播神经网络的KDD CUP 1999数据集特征约简异常检测

2015 Fifth International Conference on Advanced Computing & Communication Technologies Pub Date : 2015-02-21 DOI: 10.1109/ACCT.2015.131

Bhavin Shah, Bhushan Trivedi

{"title":"Reducing Features of KDD CUP 1999 Dataset for Anomaly Detection Using Back Propagation Neural Network","authors":"Bhavin Shah, Bhushan Trivedi","doi":"10.1109/ACCT.2015.131","DOIUrl":"https://doi.org/10.1109/ACCT.2015.131","url":null,"abstract":"To detect and classify the anomaly in computer network, KDD CUP 1999 dataset is extensively used. This KDD CUP 1999 data set was generated by domain expert at MIT Lincon lab. To reduced number of features of this KDD CUP data set, various feature reduction techniques has been already used. These techniques reduce features from 41 into range of 10 to 22. Usage of such reduced dataset in machine learning algorithm leads to lower complexity, less processing time and high accuracy. Out of the various feature reduction technique available, one of them is Information Gain (IG) which has been already applied for the random forests classifier by Tesfahun et al. Tesfahun's approach reduces time and complexity of model and improves the detection rate for the minority classes in a considerable amount. This work investigates the effectiveness and the feasibility of Tesfahun et al.'s feature reduction technique on Back Propagation Neural Network classifier. We had performed various experiments on KDD CUP 1999 dataset and recorded Accuracy, Precision, Recall and Fscore values. In this work, we had done Basic, N-Fold Validation and Testing comparisons on reduced dataset with full feature dataset. Basic comparison clearly shows that the reduced dataset outer performs on size, time and complexity parameters. Experiments of N-Fold validation show that classifier that uses reduced dataset, have better generalization capacity. During the testing comparison, we found both the datasets are equally compatible. All the three comparisons clearly show that reduced dataset is better or is equally compatible, and does not have any drawback as compared to full dataset. Our experiments shows that usage of such reduced dataset in BPNN can lead to better model in terms of dataset size, complexity, processing time and generalization ability.","PeriodicalId":351783,"journal":{"name":"2015 Fifth International Conference on Advanced Computing & Communication Technologies","volume":"07 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128999212","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: 26

Mitigation of Atmospheric Turbulence in Free Space Optics: A Review 自由空间光学中大气湍流的抑制研究进展

2015 Fifth International Conference on Advanced Computing & Communication Technologies Pub Date : 2015-02-21 DOI: 10.1109/ACCT.2015.60

Poonam Goyal, Ashwni Kumar, V. Nath

引用次数: 10

Spatio-Temporal Data Models with Their Different Approaches and Their Features 时空数据模型及其不同的方法和特点

2015 Fifth International Conference on Advanced Computing & Communication Technologies Pub Date : 2015-02-21 DOI: 10.1109/ACCT.2015.46

S. Rathee, R. Rishi

引用次数: 1

Performance Analysis of Unsupervised Machine Learning Techniques for Network Traffic Classification 网络流量分类中无监督机器学习技术的性能分析

2015 Fifth International Conference on Advanced Computing & Communication Technologies Pub Date : 2015-02-21 DOI: 10.1109/ACCT.2015.54

H. Singh

引用次数: 37

Design of Dual-Frequency CPW-fed Monopole Antenna for Wireless Application 无线应用双频cpw馈电单极天线设计

2015 Fifth International Conference on Advanced Computing & Communication Technologies Pub Date : 2015-02-21 DOI: 10.1109/ACCT.2015.22

Pawan Kumar, S. Dwari

引用次数: 1

Optimal Features Set for Extractive Automatic Text Summarization 提取自动文本摘要的最佳特征集

2015 Fifth International Conference on Advanced Computing & Communication Technologies Pub Date : 2015-02-21 DOI: 10.1109/ACCT.2015.123

Y. Meena, P. Deolia, D. Gopalani

引用次数: 12

Security Concerns and Countermeasures in Cloud Computing Paradigm 云计算范式中的安全问题与对策

2015 Fifth International Conference on Advanced Computing & Communication Technologies Pub Date : 2015-02-21 DOI: 10.1109/ACCT.2015.80

M. Kumari, R. Nath

引用次数: 10

Using Twitter for Tapping Public Minds, Predict Trends and Generate Value 利用Twitter挖掘公众思想，预测趋势并创造价值

2015 Fifth International Conference on Advanced Computing & Communication Technologies Pub Date : 2015-02-21 DOI: 10.1109/ACCT.2015.99

Sanchita Kadambari, Kalpana Jaswal, Praveen Kumar, S. Rawat

引用次数: 12

Web Page Ranking Using Machine Learning Approach 使用机器学习方法的网页排名

2015 Fifth International Conference on Advanced Computing & Communication Technologies Pub Date : 2015-02-21 DOI: 10.1109/ACCT.2015.56

Vijay Chauhan, Arunima Jaiswal, Junaid Khan

引用次数: 11