2012 International Conference on Cloud and Service Computing最新文献_第4页

2012 International Conference on Cloud and Service Computing Pub Date : 2012-11-22 DOI: 10.1109/CSC.2012.35

Dongbin Yan, Zhao Lu

{"title":"Relational Similarity Measurement between Word-pairs Using Multi-Task Lasso","authors":"Dongbin Yan, Zhao Lu","doi":"10.1109/CSC.2012.35","DOIUrl":"https://doi.org/10.1109/CSC.2012.35","url":null,"abstract":"Relational similarity measurement as a popular research area in the field of natural language processing, is widely used in information retrieval, word sense disambiguation, machine translation and so on. The existing approaches are mostly based on extracting semantic features as feature matrixes from the large-scale corpus and using the corresponding method to process these feature matrixes to compute the relational similarity between word-pairs. However, the extracted semantic features are loosely distributed, which make the sparseness of feature matrixes. This paper proposes a Multi-Task Lasso based Relational similarity measure method (MTLRel), which makes snippets retrieved from a web search engine as the semantic information sources of a word-pair, then builds the feature matrix by extracting predefined patterns from snippets, compress and denoise the feature matrix into a feature vector using a multi-task lasso method, finally measures the relational similarity between two word-pairs by computing the cosine of the angle between two feature vectors. The MTLRel approach achieves an accuracy rate of 50.3% by testing 374 SAT analogy questions with lower time consumption.","PeriodicalId":183800,"journal":{"name":"2012 International Conference on Cloud and Service Computing","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129532069","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

Binding Web Services: An Optimizing Approach 绑定Web服务:一种优化方法

2012 International Conference on Cloud and Service Computing Pub Date : 2012-11-22 DOI: 10.1109/CSC.2012.18

Jaber Kouki, Walid Chainbi, K. Ghédira

引用次数: 1

A New Task Scheduling Algorithm in Hybrid Cloud Environment 混合云环境下一种新的任务调度算法

2012 International Conference on Cloud and Service Computing Pub Date : 2012-11-22 DOI: 10.1109/CSC.2012.15

W. Jiang, Z. Sheng

引用次数: 23

An Approach to Semantic Information Retrieval 一种语义信息检索方法

2012 International Conference on Cloud and Service Computing Pub Date : 2012-11-01 DOI: 10.1109/CSC.2012.32

Huiying Li

引用次数: 2

A Cloud-Pattern Based Network Traffic Analysis Platform for Passive Measurement 基于云模式的被动测量网络流量分析平台

2012 International Conference on Cloud and Service Computing Pub Date : 2012-11-01 DOI: 10.1109/CSC.2012.8

Heng Wang, W. Ding, Zhen Xia

{"title":"A Cloud-Pattern Based Network Traffic Analysis Platform for Passive Measurement","authors":"Heng Wang, W. Ding, Zhen Xia","doi":"10.1109/CSC.2012.8","DOIUrl":"https://doi.org/10.1109/CSC.2012.8","url":null,"abstract":"The existing Internet traffic passive measurement solutions are mainly based on a technical route of downloading traffic dataset and analysis tool from the corresponding distribution site, and then carrying out a local place research based on off-line traffic analysis. However, the issues of massive traffic datasets acquisition and analysis as well as measurement achievement reuse and sharing still need a further consideration. The paper applies the ever up surging cloud computing paradigm to network traffic passive measurement field in order to address the issues. On the basis of inducing the drawbacks of the conventional technical route, we proposed a novel cloud pattern of passive measurement work and designed an architecture of cloud-pattern based network traffic analysis platform. Furthermore, using the authentic traffic collected at a CERNET backbone (10 Gbps), we implemented a prototype system of the architecture, called IP Trace Analysis System, or IPTAS for short. Combined with IPTAS, the paper elaborates the critical implementations of the architecture and verifies its feasibility and flexibility through IPTAS application instances.","PeriodicalId":183800,"journal":{"name":"2012 International Conference on Cloud and Service Computing","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133503982","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