e-infrastructure Roadmap for Open Science in Agriculture

A bibliometric study

The e-ROSA project seeks to build a shared vision of a future sustainable e-infrastructure for research and education in agriculture in order to promote Open Science in this field and as such contribute to addressing related societal challenges. In order to achieve this goal, e-ROSA’s first objective is to bring together the relevant scientific communities and stakeholders and engage them in the process of coelaboration of an ambitious, practical roadmap that provides the basis for the design and implementation of such an e-infrastructure in the years to come.

This website highlights the results of a bibliometric analysis conducted at a global scale in order to identify key scientists and associated research performing organisations (e.g. public research institutes, universities, Research & Development departments of private companies) that work in the field of agricultural data sources and services. If you have any comment or feedback on the bibliometric study, please use the online form.

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Title

Challenges with Big Data Mining: A Review

en
Abstract

Big data is a collection of datasets which are so large and complex. Data sets are growing day by day and sharing, transfer, capture, storage, etc. are the main challenges in Big Data. Data mining discovers patterns from a large data set. Data mining with Big data is a complex task. HACE theorem is proposed which finds Complex and Evolving relationships among data. It finds the characteristics of Big data. Big Data-related applications, such as Google, Flicker, Facebook, etc. have a large number of server farms. Cloud computing provides large server services and share resources. By using a number of servers, users can use on-demand services without interruption. Twitter enables users to send and read texts called "Tweets". By analyzing tweets the stock market can be predicted. It is possible to spread information to the peoples who are connected with each other. The large volume and relationship of nodes can be used to predict the trends and future.

en
Year
2015
en
Country
  • IN
Organization
  • St_Josephs_Coll (IN)
Data keywords
  • big data
en
Agriculture keywords
  • farm
en
Data topic
  • big data
  • information systems
en
SO
PROCEEDINGS OF THE IEEE INTERNATIONAL CONFERENCE ON SOFT-COMPUTING AND NETWORKS SECURITY (ICSNS 2015)
Document type

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Institutions 10 co-publis
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    e-ROSA - e-infrastructure Roadmap for Open Science in Agriculture has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 730988.
    Disclaimer: The sole responsibility of the material published in this website lies with the authors. The European Union is not responsible for any use that may be made of the information contained therein.