big data based projects


Innovative teaching in higher education: the big data approach
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Across the Internet where massive amounts of data are being created every second. Widely known as the big data , this tool can be signified as the techniques to capture, store and analyse data of resources. It enables us to provide instrumental means in formulating data

An abnormal network flow feature sequence prediction approach for DDoS attacks detection in big data environment
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Distributed denial-of-service (DDoS) is a rapidly growing problem with the fast development of the Internet. There are multitude DDoS detection approaches, however, three major problems about DDoS attack detection appear in the big data environment. Firstly, to shorten

Rule based systems for big data : a machine learning approach
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The series Studies in Big Data (SBD) publishes new developments and advances in the various areas of Big Data – quickly and with a high quality. The intent is to cover the theory, research, development, and applications of Big Data , as embedded in the fields of engineering, computer

Classification algorithms for big data analysis, a Map Reduce approach
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Since many years ago, the scientific community is concerned about how to increase the accuracy of different classification methods, and major achievements have been made so far. Besides this issue, the increasing amount of data that is being generated every day by

Big data : Testing approach to overcome quality challenges
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Testing Big data is one of the biggest challenges faced by organizations because of lack of knowledge on what to test and how much data to test. Organizations have been facing challenges in defining the test strategies for structured and unstructured data validation

Big data approach of crash prediction
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ABSTRACT 1 Traditional crash prediction models use roadway geometric design features, traffic control types, 2 and annual average daily traffic volumes, etc. as inputs to predict the annual crashes of a facility. 3 These models are known as safety performance functions

Big data : Three-aspect approach
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The term big data is a new, shaping up concept. The paper proposes a three-faceted explanation of the term, by distinguishing three basic aspects of big data : technological (including the opportunities offered by IT and modern analytical methods), business

A systematic approach to Big Data
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With the growing developments and advancements in the fields of computing, it is necessary for institutions and organizations to handle large masses of data at faster speeds. Not only are the sizes of data increasing, so are the varied file types. Due to the inadequacy of

Bag-of-features tagging approach for a better recommendation with social big data
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The interests of users are always important for personalized content recommendations on friendships, events and media content from the social big data . However, those interests not be specified, which makes the recommendations challenging. One of the possible

Big Data Integration: A MongoDB Database and Modular Ontologies based Approach .
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Big Data are collections of data sets so large and complex to process using classical database management tools. Their main characteristics are volume, variety and velocity. Big Data integration is a new research area that faces new challenges due to these

Are enterprises ready for big data analytics A survey-based approach
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Big data analytics is a fascinating topic in the field of computer science and information systems as it challenges fundamental aspects of computation. The aim of this study is to investigate the acceptance and usage of big data analytics in enterprises, and to understand

Agile Project Management Approach and its Use in Big Data Management.
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The use of project management methodology for each project generates a lot of questions as well as recommendations. One group argues that the standard methodology are applicable to all projects. Another group prefers the view that reflects the project

Business Intelligence and Marketing Insights in an Era of Big Data : The Q-sorting Approach .
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The purpose of this study is to qualitatively identify the typologies and characteristics of the big data marketing strategy in major companies that are taking advantage of the big data business in Korea. Big data means piles accumulated from converging platforms such as

Learning Education: An Educational Big Data approach for monitoring, steering and assessment of the process of continuous improvement of education
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Changing regulations, pedagogy and didactics worldwide, have ensured that the educational system has changed severely. But the entrance of Web 2.0 and other technologies had a significant impact on the way we educate and assess our education too

Protests, Elections and Their Contributions to the Topical Structure of the Russian Blogosphere: a « Big Data Approach »
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Blogs and social networks have proved important in recent years in various senses, but particularly for political mobilization in a whole range of societies. They include not only European countries such as Spain ( 2011) or Russia (December 2011), but also

Big Data Algebra: A Rigorous Approach to Big Data Analytics and Engineering
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Data are an abstract representation of the quantity of real-world entities and perceived objects. Big data are extremely large-scaled heterogeneous data in terms of quantity, complexity, semantics, distribution, and processing costs in computer science, information

Use of mobile phone data to estimate mobility flows. measuring urban population and inter-city mobility using big data in an integrated approach
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Abstract The Big Data , originating from the digital breadcrumbs of human activities, sensed as a by-product of the technologies that we use for our daily activities, let us to observe the individual and collective behavior of people at an unprecedented detail. Many dimensions of

Big -ETL: extracting-transforming-loading approach for Big Data
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ETL process (Extracting-Transforming-Loading) is responsible for (E) xtracting data from heterogeneous sources,(T) ransforming and finally (L) oading them into a data warehouse (DW). Nowadays, Internet and Web 2.0 are generating data at an increasing rate, and

A big data approach for decision making in bridge maintenance
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The Taiwan Bridge Management System (TBMS) has been online since 2000 and the total amount of inventory is 3 27 including all kinds of bridges and culverts. Currently, the number of fields in all tables in the databases of TBMS is around 500 with more than 3.4

Addressing emergency department overcrowding through a systems approach using big data research
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The emergency department (ED) is the canary in the coalmine for the healthcare system. The issues that EDs are facing are having adverse effects, and their causes can be better understood by viewing the ED as part of the entire health and social system. Policy


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