Methods and Data Used
Big Data is used for data mining. The data that is available from social media and mobile networks is mined by big data analytics. Social media is an effective platform for communicating disaster information so that responses to the disaster can be made fast. Therefore, Big Data can be used for disaster management and for its fast response.
Methods and Data Used (50 Words): For analysing disasters, various data is collected from the social networking sites. A number of people tweets these data on the internet. The required data are collected by the use of Streaming Twitter API. A third party vendor is involved from whom the rest of the data is collected. Quantitative method is used for the collection of data.
Results and Conclusion (50 words): Data mining has proven to express the sentiments of people affected by the disaster from the data that they convey on Twitter. It also analyses various risks and challenges that bid data analysis can have on disaster recovery and response. It has been concluded that if an ontology can be built then the requirements of the people affected by disaster will be better understood.
The Strength and Weakness, or issues and opportunities that you have discovered by studying this paper (100 words): The strength is high accuracy of the analysis from the data that is collected from twitter. The strongest point of this paper is that the challenges that twitted data face while analysing disaster response has been solved. The weakness of this paper is that it fails to compare the collected data set with that of the standard crisis data set. The opportunity of that the proposed method can be used to bridge the gap between the people who want to help the people victim of disaster and the people who are affected by the disaster.
Reasons for use (50 words): The proposed methods are will accurately analyse the wants of the people affected by the disaster. Will help to take necessary actions for managing the disaster at the hour of need. This might save the lives of a number of people. Prompt action always demands for being alert every time. Big Data Analytics will help to do so.
Abstract (50 words): This paper will mainly enlighten on the impacts that Big data has on society. There are numerous pros and cons of using big data. Europe needs to plan a roadmap to optimize the use of big data for the benefit of the society and improve the economic, legal and social benefits that will achieved by the use of big data.
Results and Conclusion
Methods and Data Used (50 Words): The roadmap that will be built for Europe will consider the previous data of BYTE project. Interviews will be conducted with the experts and discussions will be held with the stakeholders. Therefore, quantitative data gathered from the interviews and discussions will be used for analysis.
Results and Conclusion (50 words): From the research, it can be concluded that societal externalities formed by the use of big data in Europe can be solved by contributing for standardization and developing the necessary skills. The subjects of data management like analysis, protection, processing and visualisation should be advanced.
The Strength and Weakness, or issues and opportunities that you have discovered by studying this paper (100 words): This paper has been able to identify the impact that use of big data have on society of Europe. The business models that are prepared will be data driven. As a result, the efficiency of the models in business will be high. Environment will be protected and direct social impacts will be reduced. The issues that are highlighted in this paper is data protection. People are still confused for sharing data in the internet. The opportunities are increase in public trust, high rate of citizen participation, increased attention to data privacy and big data can be used to combat discrimination among people.
Reasons for use (50 words): The paper is successful in describing briefly the effects that big data has on society. It has undertaken a research to find people participation in society. With the quantitative method of research, that the paper has used proves the accuracy of its results and findings.
Abstract (50 words): This paper describes about the concepts of big data. The first thing that we recall in our mind on hearing about big data is a huge amount of data or the data that has a huge size. This paper will focus on the positive impacts of big data in business by integrating various descriptions of researchers and practitioners.
Methods and Data Used (50 Words): Data is collected from social media and various other business organisations to analyse data and reach to a conclusion. Various business delegates are interviewed to find the effect of big data on business profit. The trends in the social media are observed to find out the usefulness of this latest technology.
Results and Conclusion (50 words): From the discussions and works of the research, it has been concluded that big data analytics help in accelerating the decision making process of the business organisation. It has also reduced the cost of maintain the IT systems in an organisation.
Strength and Weakness
The paper concludes by stating that the size of big data is just one of the dimensions of it. Others are velocity and variety.
The Strength and Weakness, or issues and opportunities that you have discovered by studying this paper (100 words): The paper provides a clear understanding of big data and has been successful in identifying the other dimensions of it. The issues that are discussed in the paper are the security issues related to use of big data. Others might access the data that will be handled during the analysis. However, big data analytics will help to gain valuable insights. With the help of big data analytics, business prediction can also be made. This will help the business authorities to plan strategies accordingly.
Reasons for use (50 words): It provides a clear view of big data and its usage. The opportunities of the new technology has been clearly mentioned. Researchers can work on the opportunities to find innovations in the use of big data in real world.
Abstract (50 words): Higher educational institutions operates in a competitive and complex environment while facing a number of challenges. The higher educational institutions worldwide are facing such contemporary challenges. The article enlightens on how Big Data is helping these institutions to address their challenges and find opportunities to develop their institution. The paper concludes by mentioning ways these institution can implement Big Data in their institutions.
Methods and Data Used (50 Words): Qualitative data is used to explain the research topic. History of evolution of big data is also considered. To explain the issues related to higher educational institutions the advantages of big data and the security issues of it has been clearly considered.
Results and Conclusion (50 words): From the research it has been concluded that use of big data will integrate all the data such as administrative data, curriculum data, teaching and learning data in a single unit that will keep the data safely and help the institutions to manage them properly.
The Strength and Weakness, or issues and opportunities that you have discovered by studying this paper (100 words): The strength of this paper is that it upholds the problems that higher institutions of education are facing to handle the huge amount of data. The weakness is that it fails to consider the amount that educational institutions will have to invest in order to implement big data in it. The data integration is also a serious challenge that the institutions will face while implementing the technology. Big data has the potential to change the learning outcomes and ensure high-quality standards in institutions. It also has the capability to analyse the performance and skills of individual students.
Reasons for use (50 words): This paper clearly states the opportunities of Big data in higher educational institutions. Therefore, the head of the institutions will get an idea of the importance of big data and might decide to implement the same in various institutions. This will not only improve the performance of the students, also the working of the institutions.
References
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