2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)最新文献_第4页

Ego-clustering based propagation prediction of time series in social networks 基于自我聚类的社交网络时间序列传播预测

2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) Pub Date : 2017-11-01 DOI: 10.1109/ISKE.2017.8258811

Fei Teng, Rong Tang, Tianrui Li

{"title":"Ego-clustering based propagation prediction of time series in social networks","authors":"Fei Teng, Rong Tang, Tianrui Li","doi":"10.1109/ISKE.2017.8258811","DOIUrl":"https://doi.org/10.1109/ISKE.2017.8258811","url":null,"abstract":"Online social networks are now recognized as an important platform for propagating information. Recently, a lot of efforts are made to predict the popularity of social information, to help the government and companies effectively control and guide public opinions. Information propagation in social networks exist many different temporal patterns, which are useful reference for predicting the future spreading of news. Considering temporal patterns are related to the network structure and information content, some researchers formulated a time series clustering problem to obtain temporal patterns in social networks. Previous clustering based algorithms take each cluster center as a typical propagation pattern, and then classify prediction object into its nearest-neighbor cluster. However, the nearest pattern can not fit the prediction object very precisely. This paper proposes a novel E-CTPM (Ego-Clustering based Temporal Prediction Model). E-CTPM utilizes the prediction object itself as a fixed cluster center, which can attract the most similar time series into one cluster and generate an ego-pattern for the prediction object. The tailored pattern fits the prediction object well, so it is suitable to indicate the future propagation. Experiments are carried on twitter and phrase datasets, with the results that E-CTPM outperforms the existing algorithms by achieving lower prediction bias and prediction variance. Meanwhile, E-CTPM has general applicability, which is able to work with multiple clustering methods and avoids the prediction difference resulting from classification methods.","PeriodicalId":208009,"journal":{"name":"2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133269972","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

An explanation of the sentencing of willful and malicious injury crime based on inference rules 基于推理规则的故意恶意伤害罪量刑解释

2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) Pub Date : 2017-11-01 DOI: 10.1109/ISKE.2017.8258795

Caijuan Zhang, Ming Jiang

引用次数: 0

CPC: A novel content popularity compensation algorithm for intelligent wireless router in user centric network CPC:一种基于用户中心网络的智能无线路由器内容人气补偿算法

2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) Pub Date : 2017-11-01 DOI: 10.1109/ISKE.2017.8258736

Xiaoyong Lin, Jie Ma, Zeqiu Zhang, Chao Chen, Yun Xia, Yang Yu, Tingting Qiu, Xiaoming Wang

{"title":"CPC: A novel content popularity compensation algorithm for intelligent wireless router in user centric network","authors":"Xiaoyong Lin, Jie Ma, Zeqiu Zhang, Chao Chen, Yun Xia, Yang Yu, Tingting Qiu, Xiaoming Wang","doi":"10.1109/ISKE.2017.8258736","DOIUrl":"https://doi.org/10.1109/ISKE.2017.8258736","url":null,"abstract":"User centric network (UCN) brought a new concept of all routers to be intelligent and definable, intelligent wireless terminals implement more video online service than general webpage exploring service, in the time of content is the king, how to provide a best user experience for the video content user under intelligent wireless routers(IWR) is a key focus in the current research of user centric network. This paper proposed a scheme of intelligent pipe between Policy server and IWR, and designed a novel content popularity compensation (CPC) algorithm in user centric network framework, the IWR obtained the user attributes and video content popularity, used the parameter of content popularity compensation index (CPI) to integrate the classified user weight (CUW) and content popularity level (CPL), the modified satisfaction degree (MSD) was designed to replace of the general index of user satisfaction degree, such as linear satisfaction degree (LSD) and simple logarithmic satisfaction (SLS). The scheduling rule was to get a maximized system MSD, and the measurement of user average satisfaction (UAS) was the evaluation standard of CPC. The simulations results showed that the CPC got the better performance than that of routine algorithms, such as max-min fairness (MMF) and Utility function (ULF), the CPC algorithm could push on the intelligent wireless router in smart home and bring a novel video content quality of experience (QoE) of future wireless video online users.","PeriodicalId":208009,"journal":{"name":"2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","volume":"143 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122839476","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

Chinese keyword extraction based on weighted complex network 基于加权复杂网络的中文关键字提取

2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) Pub Date : 2017-11-01 DOI: 10.1109/ISKE.2017.8258737

Yin-feng Liang

引用次数: 4

Textual topic evolution analysis based on term co-occurrence: A case study on the government work report of the State Council (1954–2017) 基于词共现的文本话题演变分析——以1954-2017年国务院政府工作报告为例

2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) Pub Date : 2017-11-01 DOI: 10.1109/ISKE.2017.8258735

Wei Wei, Chonghui Guo, Jingfeng Chen, Zhen Zhang

{"title":"Textual topic evolution analysis based on term co-occurrence: A case study on the government work report of the State Council (1954–2017)","authors":"Wei Wei, Chonghui Guo, Jingfeng Chen, Zhen Zhang","doi":"10.1109/ISKE.2017.8258735","DOIUrl":"https://doi.org/10.1109/ISKE.2017.8258735","url":null,"abstract":"The government work report of the State Council is a kind of comprehensive policy text. This paper uses text mining technology to carry out a comprehensive multi-granularity, multi-level quantitative analysis of the government work reports, which has a great practical and instructive significance for relevant personnels to understand the evolution of domain knowledge in a short time. Firstly, a series of text preprocessing is done by using the Chinese word segmentation tool combined with three kind of dictionary built by authors, i.e., the domain word dictionary, the domain synonym dictionary and the domain stopword dictionary. Then, according to the co-occurrence information of words in the government work reports, we attempt to conduct topic modeling on the corpus consisted of all the government work reports and single government work report respectively, Finally, we find 12 latent topics for the corpus, such as the \"Economic reform\", \"Agriculture\", \"Government construction\", \"Defense military\" and so on. Based on the 12 topics, we conduct the topic modeling on every single government work report, with which topic evolution analysis is carried out over the whole period of all government work reports.","PeriodicalId":208009,"journal":{"name":"2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128946290","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

Method for determining comprehensive weight vector based on multiple linear fitting 基于多重线性拟合的综合权向量确定方法

2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) Pub Date : 2017-11-01 DOI: 10.1109/ISKE.2017.8258727

Junxuan He, Hailiang Zhao, Yi Jiang

{"title":"Method for determining comprehensive weight vector based on multiple linear fitting","authors":"Junxuan He, Hailiang Zhao, Yi Jiang","doi":"10.1109/ISKE.2017.8258727","DOIUrl":"https://doi.org/10.1109/ISKE.2017.8258727","url":null,"abstract":"Based on evaluation vectors derived from single factor and the comprehensive evaluation results of some known typical objects, the sample data is classfied into different kinds, and the weight vector of the multi-factor comprehensive evaluation problem is transformed into the solution of an overdetermined systems, which consist of inconsistent linear equation constituted by the vectors of single factor evaluation and the comprehensive evaluation results. The approximate numerical relationship of the standard sample data from the typical objects is fitted with the least squares method, so that the weight vectors to different kinds of objects for comprehensive evaluation are obtained. A learning and correction way to find a multiple linear weighted synthesis model with minimum number of sub-model for the classification of object is presented. A typical object is employed as the center for every sub-model. In applications, the objects are assigned to that class whose center is closest to the objects firstly, and the evaluation result can be derived by the corresponding sub-model. Finally, the effectiveness of the proposed method is illustrated by an example.","PeriodicalId":208009,"journal":{"name":"2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116990128","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

Calculating trust by considering user similarity and social trust for recommendation systems 基于用户相似度和社会信任的推荐系统信任计算

2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) Pub Date : 2017-11-01 DOI: 10.1109/ISKE.2017.8258748

Thanaphon Phukseng, S. Sodsee

引用次数: 3

Comprehensive analysis of retinopathy of prematurity based on tortuosity with development of web connectivity 基于扭曲的早产儿视网膜病变与网络连接的综合分析

2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) Pub Date : 2017-11-01 DOI: 10.1109/ISKE.2017.8258743

Abhishek M. Appaji, H. N. Suma, M. Madhurya, S. Sonia, A. Vinekar

{"title":"Comprehensive analysis of retinopathy of prematurity based on tortuosity with development of web connectivity","authors":"Abhishek M. Appaji, H. N. Suma, M. Madhurya, S. Sonia, A. Vinekar","doi":"10.1109/ISKE.2017.8258743","DOIUrl":"https://doi.org/10.1109/ISKE.2017.8258743","url":null,"abstract":"Retinopathy of Prematurity (ROP) is a disease of the eye affecting the prematurely — born babies. It results in unorganized growth of retinal blood vessels which may result in scarring and retinal detachment. The severity of the disease is measured[1] by the stage of the disease and the presence or absence of Plus disease leading to Aggressive Posterior Retinopathy of Prematurity-APROP. The tortuosity index which is indicative of the twisting of the blood vessel calculated. This facilitates in deciding if the new born has APROP or not. A higher value of the index suggests that the baby has developed Plus disease, leading to APROP. The major disadvantage lies in the fact that the number of specialists in Retinopathy are comparatively less. [2] Thus many times this disease goes unnoticed and the baby might be blinded for life. Main objective is to curb the distance between the specialists and the patients in remote area. The importance lies in the fact that the doctor is able to receive the results and can prioritize appointments as per requirements and patients in remote areas can channelize their travel to meet the doctor.","PeriodicalId":208009,"journal":{"name":"2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127150301","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

A intelligent risk detection method in online transactions 一种在线交易智能风险检测方法

2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) Pub Date : 2017-11-01 DOI: 10.1109/ISKE.2017.8258723

M. Xu, Yifan Chu

引用次数: 1

On distributivity equations for Mayor's aggregation operators and semi-uninorms 马约尔聚集算子和半一致子的分布性方程

2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) Pub Date : 2017-11-01 DOI: 10.1109/ISKE.2017.8258731

Fengxia Zhang

引用次数: 2