Web Intell.最新文献_第7页

A measure based pricing framework for data products 基于度量的数据产品定价框架

Web Intell. Pub Date : 2021-03-24 DOI: 10.3233/WEB-210446

Yazhen Ye, Yao Zhang, Guohua Liu, Yangyong Zhu

{"title":"A measure based pricing framework for data products","authors":"Yazhen Ye, Yao Zhang, Guohua Liu, Yangyong Zhu","doi":"10.3233/WEB-210446","DOIUrl":"https://doi.org/10.3233/WEB-210446","url":null,"abstract":"It has been widely recognized that data can be viewed as a kind of assets. But accounting for data assets and pricing data transactions are still difficult due to the lack of reasonable measurements of datasets or data products. Literatures of data pricing mainly focus on traditional pricing models including models basing on contents of data, demand of market, data quality, etc.. However, due to the particularity of data, the above models may not coincide with the measure theory and thus suffer from some problems. For example, they do not consider how to price datasets sharing common contents; whether we should pay for a repeat purchase; and how to define peak-valley tariff formally for usage-based pricing. To tackle the above problems, in this paper, we formally define measure spaces for datasets and data products. Specifically, we introduce the measures on discrete, continuous and product data spaces respectivaly. Further we introduce the integral and propose a measure based pricing framework for data products. Our work is parallel to existing pricing models. We fouce on how to measure data, and pricing data is a natural extension by integrating the unit price function under the measure. In contrast, existing models focus on determining total prices directly by considering lots of factors like contents of data, demand of markets, etc. By doing analyses on several real-world applications and cases, we prove the effectiveness and generality of our proposal.","PeriodicalId":245783,"journal":{"name":"Web Intell.","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131128982","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

ITIL process management to mitigate operations risk in cloud architecture infrastructure for banking and financial services industry ITIL流程管理，以降低银行和金融服务行业云架构基础设施中的操作风险

Web Intell. Pub Date : 2020-09-30 DOI: 10.3233/WEB-200444

Abhishek Mahalle, J. Yong, Xiaohui Tao

{"title":"ITIL process management to mitigate operations risk in cloud architecture infrastructure for banking and financial services industry","authors":"Abhishek Mahalle, J. Yong, Xiaohui Tao","doi":"10.3233/WEB-200444","DOIUrl":"https://doi.org/10.3233/WEB-200444","url":null,"abstract":"Banking and Financial Services Corporations need to update information systems with logic and data of various applications on everyday basis to remain consistent with change in economy and business activity. This helps to work with latest information included in information system available in current economic and business scenario. This enables information systems and empowers work force to complete tasks in rapidly changing flow of monetary resources. With several employees in Banking and Financial Services Corporations using cloud infrastructure and reporting incidents arising in using cloud infrastructure, it is of prime importance to fix incidents reported within specific timelines. IT change management process is followed in order to adhere to IT governance & compliance framework and reduce risk of failure while performing changes in cloud infrastructure. With incident management and change management processes are aligned to keep cloud infrastructure available and secure, they become integral part of IT operations everyday activity. To make ITIL processes efficient, further organization specific policies are developed. With global standards and organization level controls in place, there are failures in IT incident and change management processes and implementation. In this paper, we have identified the risk arising due to incident management and change management processes that lead to emergency changes being implemented on cloud infrastructure architecture and discussed the steps to mitigate risks to bring greater responsibility and accountability for cloud services providers.","PeriodicalId":245783,"journal":{"name":"Web Intell.","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115395800","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

Image inspired Chinese couplet generation 意象启发了中国的对联一代

Web Intell. Pub Date : 2020-09-30 DOI: 10.3233/WEB-200443

Shengqiong Yuan, Luo Zhong, Lin Li

{"title":"Image inspired Chinese couplet generation","authors":"Shengqiong Yuan, Luo Zhong, Lin Li","doi":"10.3233/WEB-200443","DOIUrl":"https://doi.org/10.3233/WEB-200443","url":null,"abstract":"Chinese couplets, as one of the traditional Chinese culture, is the treasure of Chinese civilization and the inheritance of Chinese history. Given a sentence (namely an antecedent clause), people reply with another sentence (namely a subsequent clause) equal in length. Because of the complexity of the semantic and grammatical rules of couplet, it is not easy to create a suitable couplet that meets the requirements of sentence pattern, context, and flatness. With the development of neural models and natural language processing, automatic generation of Chinese couplets has drawn significant attention due to its artistic and cultural value, most of these works mainly focus on generating couplet by given text information, while visual inspirations for couplet generation have been rarely explored. In this paper, we design a Chinese couplet generation model based on NIC (Neural Image Caption), which can compose a piece of couplet suitable to the artistic conception in an image. At first, we use the improved VGG16 model to predict the input image. The content of the image can be automatically recognized and the corresponding description are generated and translated into Chinese keywords. Then, the encoder-decoder framework is used repeatedly to process these keywords, and finally the couplet can be generated. Moreover, to satisfy special characteristics of couplets, we incorporate the attention mechanism into the encoding-decoding process, which greatly improves the accuracy of couplets generated automatically.","PeriodicalId":245783,"journal":{"name":"Web Intell.","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126412155","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

Exploring propagation factors of social media moods for stock prices prediction 探讨社交媒体情绪对股价预测的传播因素

Web Intell. Pub Date : 2020-09-30 DOI: 10.3233/WEB-200441

Hongxun Jiang, Xiaotong Wang, Mengjun Zhu

{"title":"Exploring propagation factors of social media moods for stock prices prediction","authors":"Hongxun Jiang, Xiaotong Wang, Mengjun Zhu","doi":"10.3233/WEB-200441","DOIUrl":"https://doi.org/10.3233/WEB-200441","url":null,"abstract":"Weibo, the most widely-used social media in China, makes researchers highly regard its profound impact in public and gather moods for social computing and analysis, such as financial prediction. Most existing literatures concern excessively on text semantic or sentiment mining techniques, but neglect the procedure of moods dissemination and its factors. This paper proposes an integrated framework of social media moods mining, which creatively focuses on information transmission and propagating factors analysis, to predict stock prices more accurately. For the part of propagating factors on social media, several essential factors are distinguished in the dissemination process, such as emotional absorption of forwarding, influence of content and poster, user categories, release time, etc. to optimize the fitting effect of original model. And the count of forwarding also matters on predicting stock prices. Searching a given finance-related keyword, from Weibo we collected over 500,000 micro-blogs and their user information. Then we adopt the proposed integrated framework to predict stock price fluctuation, as well as the simple neural network method. Experiments demonstrate that the former outperformed the latter. The results also show that user categories and the count of forwarding differ on the lag phase of influence. And more, this paper studies the fitting effect of prediction models for different periods of the stock curve. The results indicate that the model works the best in the rising periods of stock prices curves, relatively well in the declining and the worst in the random fluctuating.","PeriodicalId":245783,"journal":{"name":"Web Intell.","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116451048","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

Knowledge discovery and management on online social networks and media 在线社交网络和媒体上的知识发现和管理

Web Intell. Pub Date : 2020-09-30 DOI: 10.3233/WEB-200439

Xiaohui Tao, Haoran Xie, Yongrui Qin, Xujuan Zhou, Yi Cai

引用次数: 2

Redundancy evaluation method of massive heterogeneous data in Internet of Things based on attributes and relations 基于属性和关系的物联网海量异构数据冗余度评价方法

Web Intell. Pub Date : 2020-06-03 DOI: 10.3233/web-200438

Ying Li

引用次数: 1

Special issue on big data networking-challenges and applications 《大数据网络——挑战与应用》特刊

Web Intell. Pub Date : 2020-06-03 DOI: 10.3233/web-200431

Z. Hou, Chong Shen

引用次数: 0

2SRM: Learning social signals for predicting relevant search results 2SRM:学习社会信号以预测相关搜索结果

Web Intell. Pub Date : 2020-03-09 DOI: 10.3233/web-200426

Ismail Badache

{"title":"2SRM: Learning social signals for predicting relevant search results","authors":"Ismail Badache","doi":"10.3233/web-200426","DOIUrl":"https://doi.org/10.3233/web-200426","url":null,"abstract":"Search systems based on both professional meta-data (e.g., title, description, etc.) and social signals (e.g., like, comment , rating, etc.) from social networks is the trending topic in information retrieval (IR) field. This paper presents 2SRM (Social Signals Relevance Model), an approach of IR which takes into account social signals (users' actions) as an additional information to enhance a search. We hypothesize that these signals can play a role to estimate a priori social importance (relevance) of the resource (document). In this paper, we first study the impact of each such signal on retrieval performance. Next, some social properties such as popularity, reputation and freshness are quantified using several signals. The 2SRM combines the social relevance, estimated from these social signals and properties, with the conventional textual relevance. Finally, we investigate the effect of the social signals on the retrieval effectiveness using state-of-the-art learning approaches. In order to identify the most effective signals, we adopt feature selection algorithms and the correlation between the signals. We evaluated the effectiveness of our approach on both IMDb (Internet Movie Databese) and SBS (Social Book Search) datasets containing movies and books resources and their social characteristics collected from several social networks. Our experimental results are statistically significant, and reveal that incorporating social signals in retrieval model is a promising approach for improving the retrieval performance.","PeriodicalId":245783,"journal":{"name":"Web Intell.","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121757254","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

Cross-platform personality exploration system for online social networks: Facebook vs. Twitter 面向在线社交网络的跨平台个性探索系统:Facebook vs. Twitter

Web Intell. Pub Date : 2020-03-09 DOI: 10.3233/web-200427

Raad Bin Tareaf, Philipp Berger, Patrick Hennig, C. Meinel

引用次数: 5

Sentiment analysis of customer data 客户数据的情感分析

Web Intell. Pub Date : 2019-12-02 DOI: 10.3233/web-190423

Katarzyna A. Tarnowska, Z. Ras

引用次数: 4