2017 14th Web Information Systems and Applications Conference (WISA)最新文献_第6页

Statutes Recommendation Based on Text Similarity 基于文本相似度的法规推荐

2017 14th Web Information Systems and Applications Conference (WISA) Pub Date : 2017-11-01 DOI: 10.1109/WISA.2017.52

Jin Zeng, Jidong Ge, Yemao Zhou, Yi Feng, Chuanyi Li, Zhongjin Li, B. Luo

引用次数: 1

Mining Frequent Intra-Sequence and Inter-Sequence Patterns Using Bitmap with a Maximal Span 利用最大跨度位图挖掘频繁序列内和序列间模式

2017 14th Web Information Systems and Applications Conference (WISA) Pub Date : 2017-11-01 DOI: 10.1109/WISA.2017.70

Wenzhe Liao, Qian Wang, Luqun Yang, Jiadong Ren, D. Davis, Changzhen Hu

引用次数: 3

Efficient Time Series Classification via Sparse Linear Combination 基于稀疏线性组合的高效时间序列分类

2017 14th Web Information Systems and Applications Conference (WISA) Pub Date : 2017-11-01 DOI: 10.1109/WISA.2017.37

Zhenguo Zhang, Peng Nie, Yanlong Wen

{"title":"Efficient Time Series Classification via Sparse Linear Combination","authors":"Zhenguo Zhang, Peng Nie, Yanlong Wen","doi":"10.1109/WISA.2017.37","DOIUrl":"https://doi.org/10.1109/WISA.2017.37","url":null,"abstract":"Time series classification presents a specific machine learning challenge due to the ordering of variables. Recent studies show that the simple nearest neighbor classifier with elastic distance measures is hard to beat and many researchers focus on alternative distance measures. Unlike nearest neighbor classifier try to find a training sample which has the minimum distance with test instance, we utilize a reconstruction strategy to determine the label of new time series in this paper. Concretely, for each test time series, we reconstruct it by using as few training samples as possible and then calculate the residuals between the test time series and the selected training samples of each class. The test time series is classified to the class with minimum residual. To get the required time series from the training set, we employ sparse restriction technique to discover the optimal combination of different training samples while fitting test time series. Meanwhile, to solve the scenarios where the time series dataset is linearly inseparable, we extend our method by the kernel trick. Extensive experimental results show that the proposed method can gain the significant improvement on commonly used time series datasets.","PeriodicalId":204706,"journal":{"name":"2017 14th Web Information Systems and Applications Conference (WISA)","volume":"12 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":"114372920","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

Computing User Similarity by Combining SimRank++ and Cosine Similarities to Improve Collaborative Filtering 结合simmrank ++和余弦相似度计算用户相似度改进协同过滤

2017 14th Web Information Systems and Applications Conference (WISA) Pub Date : 2017-11-01 DOI: 10.1109/WISA.2017.22

Xiuli Wang, Zhuoming Xu, Xiutao Xia, Chengwang Mao

{"title":"Computing User Similarity by Combining SimRank++ and Cosine Similarities to Improve Collaborative Filtering","authors":"Xiuli Wang, Zhuoming Xu, Xiutao Xia, Chengwang Mao","doi":"10.1109/WISA.2017.22","DOIUrl":"https://doi.org/10.1109/WISA.2017.22","url":null,"abstract":"This paper addresses the sparsity problem in collaborative filtering (CF) by developing an aggregated useruser similarity measure suitable for the user-based CF model. The aggregated similarity measure is a weighted aggregation of the SimRank++ similarity on the user-item bipartite graph and the cosine similarity of the Linked Open Data (LOD)-based user profiles derived from both the rating data and the items' descriptive attributes found from LOD resources. To validate the effectiveness of the aggregated similarity and evaluate the accuracy of rating predictions with the user-based CF method, comparative experiments between four similarity measures, the Pearson correlation coefficient, the SimRank++ similarity, the cosine similarity and the aggregated similarity, were conducted on the MovieLens 100k dataset and DBpedia. The experimental results indicate that the proposed aggregated similarity measure overall outperforms the other three similarity measures in terms of both Root Mean Squared Error (RMSE) and Mean Absolute Error (MAE), especially in the cases of 30-100 nearest neighbors.","PeriodicalId":204706,"journal":{"name":"2017 14th Web Information Systems and Applications Conference (WISA)","volume":"426 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":"116230102","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: 9

A Survey on Visual Place Recognition for Mobile Robots Localization 移动机器人定位中的视觉位置识别研究

2017 14th Web Information Systems and Applications Conference (WISA) Pub Date : 2017-11-01 DOI: 10.1109/WISA.2017.7

Yutian Chen, Wenyan Gan, Lei Zhang, Chong Liu, Xianlei Wang

引用次数: 10

The Optimization Mechanism Research of Distributed Unified Authentication Based on Cache 基于缓存的分布式统一认证优化机制研究

2017 14th Web Information Systems and Applications Conference (WISA) Pub Date : 2017-11-01 DOI: 10.1109/WISA.2017.4

Dongju Yang, Kai Feng

{"title":"The Optimization Mechanism Research of Distributed Unified Authentication Based on Cache","authors":"Dongju Yang, Kai Feng","doi":"10.1109/WISA.2017.4","DOIUrl":"https://doi.org/10.1109/WISA.2017.4","url":null,"abstract":"It is one of the popular and effective way to build a unified authentication center to implement single sign-on among many applications in the enterprise. How to deal with the high concurrent and high flow of user requests to ensure the stability and efficiency of the authentication service is most important when integrating multiple systems. Aiming at the problem of authentication center, such as overloaded, single point of failure, slow response time, etc. we put forward a distributed architecture with cache to enable the unified authentication. The authentication tickets can be shared among multiple nodes by cache. The hot and important data can be prefetched to cache to improve the response time. A multi-factor cache replacement algorithm based on Hybird is also proposed which combining complex and diverse user behavior to improve the effectiveness of data replacement. The experimental results show that the optimized distributed authentication architecture can guarantee the stability of the system, and the cache mechanism can improve the response time, and a multi factor cache replacement algorithm based on Hybird can improve the cache hit ratio.","PeriodicalId":204706,"journal":{"name":"2017 14th Web Information Systems and Applications Conference (WISA)","volume":"59 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":"126642518","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