management approach called as big data analytics .Including big data analytics in health sector provides stakeholders, the new insights that have the capacity to advance personalized care improve patient outcomes and avoid unnecessary costs. This paper describes big data analytics and its characteristics, advantages and challenges in health care. Keywords--Big data, Analytics, Hadoop, Healthcare, Framework, Methodology, challenges; future applications I. INTRODUCTION Big data is “a term that includes
Abstract The “big data” and “big data mining” are the terms which are growing on increasing as the use of internet, smartphones and the networking technologies are increasing. The data generation rate get doubled or tripled in some recent years. So to make proper usefulness of this vast amount of data, mining from big data has almost immediately followed up as an emerging interrelated research area. This paper provides an overview of big data mining along with the challenges that one has to face
1.1 Big Data Big data is a broad term for data sets so large or complex that traditional data processing applications are inadequate. Challenges include analysis, capture, data curation, search, sharing, storage, transfer, visualization, and information privacy. The term often refers simply to the use of predictive analytics or other certain advanced methods to extract value from data, and seldom to a particular size of data set. Accuracy in big data may lead to more confident decision making. And
main problem health sector faces is the fact that even though there is more and more data available, most of it is under the form of unstructured data and so it is hard to use it appropriately. Also, veracity of data in a sector in which it is easy to make mistakes (also due to the presence of many unstructured data), errors should be reduced as more as possible to have a good quality of data. To minimize big data problems, many hospitals started to focus in 5 main concepts 18 : • Right provider,
Nowadays, big data become more familiar because of its importance and the advantages to the technology world right now. The ability of big data makes data become almost identified as one of the key trends driving change in the 21st century. Data are variously described as the ‘data revolution’ the ‘era of big data’, or more simply known as ‘big data’. So, what is big data? Big data is a term that are describes the large volume of many types of data and both of the data is structured and unstructured
Table of content • Introduction. 1 • Define big data. 1 • Background on big data. 1 • Big data dimensions 2 • advantages of big data 3 • challenges or risks of big data 4 • Big data Technologies 5 • The relationship between big data and cloud computing. 5 • The relationship between big data and the semantic web. 5 • Identify a relevant field or discipline, and briefly discuss how big data is applied in this field or discipline 5 • Conclusion
Business Intelligence or more commonly known as BI, is a technology that processes large amounts of data, known as big data. BI gives knowledge and understanding on data by using business analytic tools to presents the information to people such as business managers, CIO’s to make more informed business decisions. It identifies patterns, assess business processes, market trends and other factors to improve cooperate strategies and internal operations.BI brings real-time information to centralized
that they collect and buy to, for example, “assign each shopper a ‘pregnancy prediction’ score” (144). Febreze “piggybacked on existing habits” in order to design effective advertisements (147). These are just two examples of companies that take advantage of habits in order to make a larger profit. Although I do not shop very much, the shopping that I do is quite habitual. However, since I rarely go shopping, I do not find myself to be a “particularly valuable target for retailers” (149).
thinking and solve their decision. Thus, “the big data concept and its applications have emerged from the increasing volumes of external and internal data from organizations that are differentiated from other data bases in four aspects which are volume, velocity, variety and value. Volume considers the data amount, velocity refers to the speediness with which data may be analyzed and processed, variety describes the different kinds and sources of data that may be structured, and value refers
Introduction Big data refers to massive data sets that have large and complex structure which is difficult to store, analyze and visualize for processing and results. The research for large amounts of data to reveal hidden patterns is known as Big Data Analytics (BDA). Big data is used to gain deep insights and competitive advantage. Big data refers to two conditions, the technological challenge which is about dealing with data intensive domains such as high energy physics, astronomy or internet