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The data typically used in data mining is in the format of a single table, with primitive data types as attributes. However, structured (complex) data, such as graphs, sequences, networks, text, image, multimedia and relational data, are receiving an increasing amount of interest in data mining. A major challenge is to treat and represent the mining of different types of structured data in a uniform fashion. Topics like Machine learning, Computational modelling, Machine learning.
OMICS International Organizes 1000+ Global Events Every Year across USA, Europe & Asia with support from 1000 more scientific societies and Publishes 700+ Open access journals which contains over 100000 eminent personalities, reputed scientists as editorial board and organizing committee members. The conference series website will provide you list and details about the conference organize worldwide.
The ontology in data mining market has been achieving strong revenues. The Global Market Statistics shows that it has reached a revenue height of 6.76 USD (billion), 5.15 USD (billion) and 4.12 USD (billion) for services, hardware and software, respectively for the year 2013. The global market statistic also shows a revenue forecast for the global big data market from 2011 to 2017. For 2016, the source projects the global big data market is predicted to grow to more than 45 billion U.S. dollars in revenue.
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This page was last updated on 12th Sep, 2015
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