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Big Data Governance and Perspectives in Knowledge Management最新文献

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Big Data for Prediction 大数据预测
Big Data Governance and Perspectives in Knowledge Management Pub Date : 1900-01-01 DOI: 10.4018/978-1-5225-7077-6.CH010
Mirjana Pejić-Bach, Jasmina Pivar, Z. Krstic
{"title":"Big Data for Prediction","authors":"Mirjana Pejić-Bach, Jasmina Pivar, Z. Krstic","doi":"10.4018/978-1-5225-7077-6.CH010","DOIUrl":"https://doi.org/10.4018/978-1-5225-7077-6.CH010","url":null,"abstract":"Technical field of big data for prediction lures the attention of different stakeholders. The reasons are related to the potentials of the big data, which allows for learning from past behavior, discovering patterns and values, and optimizing business processes based on new insights from large databases. However, in order to fully utilize the potentials of big data, its stakeholders need to understand the scope and volume of patenting related to big data usage for prediction. Therefore, this chapter aims to perform an analysis of patenting activities related to big data usage for prediction. This is done by (1) exploring the timeline and geographic distribution of patenting activities, (2) exploring the most active assignees of technical content of interest, (3) detecting the type of the protected technical according to the international patent classification system, and (4) performing text-mining analysis to discover the topics emerging most often in patents' abstracts.","PeriodicalId":264454,"journal":{"name":"Big Data Governance and Perspectives in Knowledge Management","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128791804","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: 4
Big Data, Semantics, and Policy-Making 大数据、语义和政策制定
Big Data Governance and Perspectives in Knowledge Management Pub Date : 1900-01-01 DOI: 10.4018/978-1-5225-7077-6.CH007
Lamyaa El Bassiti
{"title":"Big Data, Semantics, and Policy-Making","authors":"Lamyaa El Bassiti","doi":"10.4018/978-1-5225-7077-6.CH007","DOIUrl":"https://doi.org/10.4018/978-1-5225-7077-6.CH007","url":null,"abstract":"At the heart of all policy design and implementation, there is a need to understand how well decisions are made. It is evidently known that the quality of decision making depends significantly on the quality of the analyses and advice provided to the associated actors. Over decades, organizations were highly diligent in gathering and processing vast amounts of data, but they have given less emphasis on how these data can be used in policy argument. With the arrival of big data, attention has been focused on whether it could be used to inform policy-making. This chapter aims to bridge this gap, to understand variations in how big data could yield usable evidence, and how policymakers can make better use of those evidence in policy choices. An integrated and holistic look at how solving complex problems could be conducted on the basis of semantic technologies and big data is presented in this chapter.","PeriodicalId":264454,"journal":{"name":"Big Data Governance and Perspectives in Knowledge Management","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121940568","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
Big Data and People Management 大数据与人员管理
Big Data Governance and Perspectives in Knowledge Management Pub Date : 1900-01-01 DOI: 10.4018/978-1-5225-7077-6.CH006
D. Sarti, Torre Teresina
{"title":"Big Data and People Management","authors":"D. Sarti, Torre Teresina","doi":"10.4018/978-1-5225-7077-6.CH006","DOIUrl":"https://doi.org/10.4018/978-1-5225-7077-6.CH006","url":null,"abstract":"This chapter investigates the role of big data (BD) in human resource management (HRM). The interest is related to the strategic relevance of human resources (HR) and to the increasing importance of BD in every dimension of a company's life. The analysis focuses on the perception of the HR managers on the impact that BD and BD analytics may have on the HRM and the possible problems the HR departments may encounter when implementing human resources analytics (HRA). The authors' opinion is that attention to the perceptions shown by the HR managers is the more important element conditioning their attitude towards BD and it is the first feature influencing the possibility that BD can become a positive challenge. After the presentation of the topic and of the state of the art, the study is introduced. The main findings are discussed and commented to offer suggestion for HR managers and to underline some key points for future research in this field.","PeriodicalId":264454,"journal":{"name":"Big Data Governance and Perspectives in Knowledge Management","volume":"383 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132244453","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
The Link Between Innovation and Prosperity 创新与繁荣之间的联系
Big Data Governance and Perspectives in Knowledge Management Pub Date : 1900-01-01 DOI: 10.4018/978-1-5225-7077-6.CH009
Sonia C.-I. Chen, R. Kharabsheh
{"title":"The Link Between Innovation and Prosperity","authors":"Sonia C.-I. Chen, R. Kharabsheh","doi":"10.4018/978-1-5225-7077-6.CH009","DOIUrl":"https://doi.org/10.4018/978-1-5225-7077-6.CH009","url":null,"abstract":"The digital era accelerates the growth of knowledge to such an extent that it is a challenge for individuals and society to manage it traditionally. Innovative tools are introduced to analyze massive data sets for extracting business value cost-effectively and efficiently. These tools help extract business intelligence from explicit information, so that tacit knowledge can be transferred into actionable insights. Big data are relevantly fashionable because of their accuracy and the capability of predicting future trends. They show their mightiness of bringing business prosperity from supermarket giants to businesses and disciplines of all kinds. However, with data widely spreading, people are concerning their potential risk of increasing inequality and threatening democracy. Big data governance is needed, if people want to keep their private right. This chapter explores how big data can be governed for maintaining the benefits of the individual and society. It aims to allow technology to humanize the digital era, so that people can be benefited from living in the present.","PeriodicalId":264454,"journal":{"name":"Big Data Governance and Perspectives in Knowledge Management","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129887204","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
The Components of Big Data and Knowledge Management Will Change Radically How People Collaborate and Develop Complex Research 大数据和知识管理的组成部分将从根本上改变人们协作和开展复杂研究的方式
Big Data Governance and Perspectives in Knowledge Management Pub Date : 1900-01-01 DOI: 10.4018/978-1-5225-7077-6.CH011
Amitava Choudhury, A. Aggarwal, Kalpana Rangra, Ashutosh Bhatt
{"title":"The Components of Big Data and Knowledge Management Will Change Radically How People Collaborate and Develop Complex Research","authors":"Amitava Choudhury, A. Aggarwal, Kalpana Rangra, Ashutosh Bhatt","doi":"10.4018/978-1-5225-7077-6.CH011","DOIUrl":"https://doi.org/10.4018/978-1-5225-7077-6.CH011","url":null,"abstract":"Emerging as a rapidly growing field, big data is already known for promising success and having considerable synergies with knowledge management. The common goal of this collaboration is to improve and facilitate decision making, fueling the competition, fostering innovation, and achieving economic success through acquisition of knowledge to various applications. Knowledge in the entire world or inside any organization has already expanded itself in various directions and is exponentially increasing with time. To withstand the current competitive environment, an intensive collaboration of knowledge management with different approaches and algorithms of big data is required. Classical structuring is becoming obsolete with the increasing amount of knowledge components.","PeriodicalId":264454,"journal":{"name":"Big Data Governance and Perspectives in Knowledge Management","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126984482","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: 3
Classification Techniques and Data Mining Tools Used in Medical Bioinformatics 医学生物信息学中的分类技术和数据挖掘工具
Big Data Governance and Perspectives in Knowledge Management Pub Date : 1900-01-01 DOI: 10.4018/978-1-5225-7077-6.CH005
S. K. David, Amr T. M. Saeb, M. R. M. Rafiullah, Khalid Al Rubeaan
{"title":"Classification Techniques and Data Mining Tools Used in Medical Bioinformatics","authors":"S. K. David, Amr T. M. Saeb, M. R. M. Rafiullah, Khalid Al Rubeaan","doi":"10.4018/978-1-5225-7077-6.CH005","DOIUrl":"https://doi.org/10.4018/978-1-5225-7077-6.CH005","url":null,"abstract":"Increasing volumes of data with the increased availability information mandates the use of data mining techniques in order to gather useful information from the datasets. In this chapter, data mining techniques are described with a special emphasis on classification techniques as one important supervised learning technique. Bioinformatics tools in the field for medical applications especially in medical microbiology are discussed. This chapter presents WEKA software as a tool of choice to perform classification analysis for different kinds of available data. Uses of WEKA data mining tools for biological applications such as genomic analysis and for medical applications such as diabetes are discussed. Data mining offers novel tools for medical applications for infectious diseases; it can help in identifying the pathogen and analyzing the drug resistance pattern. For non-communicable diseases such as diabetes, it provides excellent data analysis options for analyzing large volumes of data from many clinical studies.","PeriodicalId":264454,"journal":{"name":"Big Data Governance and Perspectives in Knowledge Management","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115701319","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: 4
Big Data and Official Statistics 大数据和官方统计
Big Data Governance and Perspectives in Knowledge Management Pub Date : 1900-01-01 DOI: 10.4018/978-1-5225-7077-6.CH002
S. MacFeely
{"title":"Big Data and Official Statistics","authors":"S. MacFeely","doi":"10.4018/978-1-5225-7077-6.CH002","DOIUrl":"https://doi.org/10.4018/978-1-5225-7077-6.CH002","url":null,"abstract":"Over recent years, the potential of big data for government, for business, for society has excited much comment, debate, and even evangelism. But are big data really the panacea to all our data problems or is this just hype and hubris? This is the question facing official statisticians: Are big data worth the investment of time and resources? While the statistical possibilities appear endless, big data also present enormous challenges and potential pitfalls: legal, ethical, technical, and reputational. This chapter examines the opportunities and challenges presented by big data and also discusses some governance issues arising for official statistics.","PeriodicalId":264454,"journal":{"name":"Big Data Governance and Perspectives in Knowledge Management","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129286616","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
Making the Most of Big Data for Financial Stability Purposes 充分利用大数据促进金融稳定
Big Data Governance and Perspectives in Knowledge Management Pub Date : 1900-01-01 DOI: 10.4018/978-1-5225-7077-6.CH001
B. Tissot
{"title":"Making the Most of Big Data for Financial Stability Purposes","authors":"B. Tissot","doi":"10.4018/978-1-5225-7077-6.CH001","DOIUrl":"https://doi.org/10.4018/978-1-5225-7077-6.CH001","url":null,"abstract":"Big data has become a key topic in data creation, storage, retrieval, methodology, and analysis in the financial stability area. The flexibility and real-time availability of big data have opened up the possibility of extracting more timely economic signals, applying new statistical methodologies, enhancing economic forecasts and financial stability assessments, and obtaining rapid feedback on policy impacts. But, while public financial authorities appear increasingly interested in big data, their actual use has remained limited, reflecting a number of operational challenges. Moreover, using big data for policy purposes is not without risks, such as that of generating a false sense of certainty and precision. Exploring big data is thus a complex, multifaceted task, and a general and regular production of big data-based information would take time. Looking ahead, it is key to focus on concrete pilot projects and share these experiences. International cooperation would certainly add value in this endeavor.","PeriodicalId":264454,"journal":{"name":"Big Data Governance and Perspectives in Knowledge Management","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129941873","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
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