2018 International Conference on Information Systems and Computer Aided Education (ICISCAE)最新文献

筛选

英文中文

Research on Interactive Perceptual Wearable Equipment Based on Conditional Random Field Mining Algorithm 基于条件随机场挖掘算法的交互式感知可穿戴设备研究

2018 International Conference on Information Systems and Computer Aided Education (ICISCAE) Pub Date : 2018-07-01 DOI: 10.1109/ICISCAE.2018.8666922

Bodong Song, Li-Cai Zhang

{"title":"Research on Interactive Perceptual Wearable Equipment Based on Conditional Random Field Mining Algorithm","authors":"Bodong Song, Li-Cai Zhang","doi":"10.1109/ICISCAE.2018.8666922","DOIUrl":"https://doi.org/10.1109/ICISCAE.2018.8666922","url":null,"abstract":"Text classification in the natural language processing, information organization, content filtering and other fields have a wide range of applications. The traditional K nearest neighbor method has the advantages of simplicity, robustness, no parameters and high classification accuracy, but it needs to calculate the distance between a new text and all training texts. Therefore, it requires a lot of computation time. Now the mainstream e-commerce site or simply based on the user's rating to determine a comment is a good comment or negative feedback, and this method will often judge the error. This paper presents a method of book review classification based on emotional words. The basic idea is used to divide it into positive or negative according to the number of positive and negative words, which contained in a comment. This paper presents a bootstrap method for emotion word mining based on conditional random field, and divides the newly discovered emotion words into positive and negative categories. Finally, based on emotional words it will be divided into praise and commentary comments.","PeriodicalId":129861,"journal":{"name":"2018 International Conference on Information Systems and Computer Aided Education (ICISCAE)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125867611","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

Anti-Dust: A Method for Identifying and Preventing Blockchain’s Dust Attacks Anti-Dust:一种识别和防止区块链粉尘攻击的方法

2018 International Conference on Information Systems and Computer Aided Education (ICISCAE) Pub Date : 2018-07-01 DOI: 10.1109/ICISCAE.2018.8666834

Yunpeng Wang, Jin Yang, Tao Li, Fangdong Zhu, Xiaojun Zhou

{"title":"Anti-Dust: A Method for Identifying and Preventing Blockchain’s Dust Attacks","authors":"Yunpeng Wang, Jin Yang, Tao Li, Fangdong Zhu, Xiaojun Zhou","doi":"10.1109/ICISCAE.2018.8666834","DOIUrl":"https://doi.org/10.1109/ICISCAE.2018.8666834","url":null,"abstract":"As a global decentralized distributed ledger, Bitcoin’s POW mechanism is so complex that the transaction’s confirmation is very time-consuming. If the dust attacks occur in the blockchain, which sends large amounts of dust transactions to the blockchain, the time of transactions’ confirmation will be more longer, which will lead to more security problems, such as double-spending or blockchain forks. In order to identify and prevent dust attacks, this paper proposes an innovative Anti-Dust security model, which analyzes the characteristics of dust attacks and learns from the historical transactions big data, uses the Gaussian distribution to construct a dust recognition algorithm. At the same time, a dust transaction pool will be added to improve the blockchain architecture. In the experiment, a large amount of dust transactions will be send to the blockchain. Taking 50000 dust attacks and 500 normal transactions as an example, the conformation time of blockchain without Anti-Dust is about 20000 seconds, and Anti-Dust is about 210 seconds. The results show that Anti-Dust is an effective defense method to identify and prevent the dust attacks.","PeriodicalId":129861,"journal":{"name":"2018 International Conference on Information Systems and Computer Aided Education (ICISCAE)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121594137","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: 7

首页上一页