2013 International Symposium on Computational and Business Intelligence最新文献

Opinion Mining Using Frequent Pattern Growth Method from Unstructured Text 基于频繁模式增长方法的非结构化文本意见挖掘

2013 International Symposium on Computational and Business Intelligence Pub Date : 2013-08-24 DOI: 10.1109/ISCBI.2013.26

Tanvir Ahmad, M. Doja

引用次数: 10

Syntactic and Structural Divergence in English-to-Marathi Machine Translation 英汉马拉地语机器翻译的句法结构差异

2013 International Symposium on Computational and Business Intelligence Pub Date : 2013-08-24 DOI: 10.1109/ISCBI.2013.46

S. Kulkarni, P. Deshmukh, K. Kale

引用次数: 10

Digital Intellectual Property as a Service (DIPaaS): For Mobile Cloud Users 数字知识产权即服务(DIPaaS):针对移动云用户

2013 International Symposium on Computational and Business Intelligence Pub Date : 2013-08-24 DOI: 10.1109/ISCBI.2013.15

Khalid Mohiuddin, A. Mohammad, Srinivas Sivarathri, Juma Abdulkhader Lackshe

{"title":"Digital Intellectual Property as a Service (DIPaaS): For Mobile Cloud Users","authors":"Khalid Mohiuddin, A. Mohammad, Srinivas Sivarathri, Juma Abdulkhader Lackshe","doi":"10.1109/ISCBI.2013.15","DOIUrl":"https://doi.org/10.1109/ISCBI.2013.15","url":null,"abstract":"With the integration of cloud computing, smart phones enormously improved in processing power, storage, communication efficiency, and reliability. The technical architecture of Cloud strongly supports the efficient delivery of services in mobile environment. Whereas the mobile cloud users can access all the resources as a service dynamically in elastic mode. Accessing Digital Intellectual Property as a Service (DIPaaS) on flexible economic basis is a major interest among the mobile users. DIP is the piece of work of human intellectual in digital form such as eBook, software program, e-painting, movie, song, computer game, and etc. The DIP services complex in nature, involves creator, manufacturer, distributor, licensing agencies, and service providers. However, the service limitations exist, shall be overcome with an understanding approach to Service Level Agreement (SLA). DIP applications consume a large of local resources and could not be implemented on standalone mobile phones. Therefore, we realize increasing demand for an efficient service-model which satisfies the mobile cloud users at large. We proposed the first service-model includes both technical and service architecture to encourage the stakeholders for DIP access in mobile cloud environment. Eventually we present an efficient access to Digital Intellectual Property as a Service in Mobile Cloud Environment (DIPaaSMCE).","PeriodicalId":311471,"journal":{"name":"2013 International Symposium on Computational and Business Intelligence","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125633566","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

Overlapping Social Network Communities and Viral Marketing 重叠的社交网络社区和病毒式营销

2013 International Symposium on Computational and Business Intelligence Pub Date : 2013-08-24 DOI: 10.1109/ISCBI.2013.56

S. Y. Bhat, M. Abulaish

引用次数: 17

An Efficient Energy Protocol for Power Conservation in Mobile Ad-Hoc Networks 一种高效的移动自组网节能协议

2013 International Symposium on Computational and Business Intelligence Pub Date : 2013-08-24 DOI: 10.1109/ISCBI.2013.28

Jhunu Debbarma, M. Debbarma, Sudipta Roy, N. Debbarma, R. Pal

引用次数: 2

Data Blocks' Signature in Cloud Computing 云计算中的数据块签名

2013 International Symposium on Computational and Business Intelligence Pub Date : 2013-08-24 DOI: 10.1109/ISCBI.2013.18

Shuang Tan, Zhi-Kun Chen, Jian-Feng Zhang

引用次数: 3

Dynamic Set-Point Weighted Fuzzy PID Controller 动态设定值加权模糊PID控制器

2013 International Symposium on Computational and Business Intelligence Pub Date : 2013-08-24 DOI: 10.1109/ISCBI.2013.29

P. Mitra, C. Dey, R. Mudi

引用次数: 8

Speaker Independent Speech Recognition Implementation with Adaptive Language Models 基于自适应语言模型的独立说话人语音识别实现

2013 International Symposium on Computational and Business Intelligence Pub Date : 2013-08-24 DOI: 10.1109/ISCBI.2013.9

Anukriti, Sushant Tiwari, T. Chatterjee, M. Bhattacharya

引用次数: 3

Discrete Invasive Weed Optimization Algorithm for Graph Based Combinatorial Road Network Management Problem 基于图的组合路网管理问题的离散入侵杂草优化算法

2013 International Symposium on Computational and Business Intelligence Pub Date : 2013-08-24 DOI: 10.1109/ISCBI.2013.58

C. Sur, A. Shukla

{"title":"Discrete Invasive Weed Optimization Algorithm for Graph Based Combinatorial Road Network Management Problem","authors":"C. Sur, A. Shukla","doi":"10.1109/ISCBI.2013.58","DOIUrl":"https://doi.org/10.1109/ISCBI.2013.58","url":null,"abstract":"Invasive Weed Optimization (IWO) Algorithm is a nature inspired swarm based continuous domain optimization meta-heuristics which mimicry the expansion-cum-survival strategy of the weeds in favorable, rich and unwanted regions which happens to be the best solution in terms of optimization with respect to competition, growth and nutrition. These unwanted plants are in consistent competition and opposition from the other members of the nature either directly or indirectly and as a result their way of living, foraging and sustaining are the most robust and challenging. This optimization technique has been proven to be successful in many continuous parameter domains due to their unique spreading characteristics and optimization search methods. In this work we have extended the utility of the invasive weed optimization algorithm for graph based combinatorial optimization for path search and planning for vehicle routing from a source to destination. The problem can be viewed as a multimodal optimization problem where selection of a certain sequence of multimodal solutions would be best solution. For this we have modified the classical IWO to suit the graph based situation and made necessary change in implications to cope up with the graph parameters. The convergence rate of the Discrete Invasive Weed Optimization (DIWO) Algorithm is being compared with Ant Colony Optimization (ACO) and Intelligent Water Drop (IWD) algorithm with an application on a road graph model for route optimization for vehicles with respect to multi-objective of travelling and waiting time.","PeriodicalId":311471,"journal":{"name":"2013 International Symposium on Computational and Business Intelligence","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127481969","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: 5

Enhancing the Accuracy of Case-Based Estimation Model through Early Prediction of Error Patterns 通过对误差模式的早期预测来提高基于案例的估计模型的准确性

2013 International Symposium on Computational and Business Intelligence Pub Date : 2013-08-24 DOI: 10.1109/ISCBI.2013.49

Ekbal Rashid, S. Patnaik, V. Bhattacharya

{"title":"Enhancing the Accuracy of Case-Based Estimation Model through Early Prediction of Error Patterns","authors":"Ekbal Rashid, S. Patnaik, V. Bhattacharya","doi":"10.1109/ISCBI.2013.49","DOIUrl":"https://doi.org/10.1109/ISCBI.2013.49","url":null,"abstract":"The paper tries to explore the importance of software fault prediction and to minimize them thoroughly with the advanced knowledge of the error-prone modules, so as to enhance the software quality. For estimating a new project effort, case-based reasoning is used to predict software quality of the system by examining a software module and predicting whether it is faulty or non faulty. In this research we have proposed a model with the help of past data which is used for prediction. Two different similarity measures namely, Euclidean and Manhattan are used for retrieving the matching case from the knowledge base. These measures are used to calculate the distance of the new record set or case from each record set stored in the knowledge base. The matching case(s) are those that have the minimum distance from the new record set. This can be extended to variety of system like web based applications, real time system etc. In this paper we have used the terms errors and faults, and no explicit distinction made between errors and faults. In order to obtain results we have used MATLAB 7.10.0 version as an analyzing tool.","PeriodicalId":311471,"journal":{"name":"2013 International Symposium on Computational and Business Intelligence","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121569944","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