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Ontology in Data Mining


As per the available details around 1 National symposium is going to be conducted across the world.The domain ontology in data mining (DM) deals with analysing different types of data.

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.

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Scope and Importance
The motivation for developing an ontology of data mining is multi-fold.the area of data mining is developing
rapidly and one of the most challenging problems deals with developing a general
framework for data mining..After the basic entities are identified and defined, it candefine more complex
entities (e.g. data mining query, data mining scenario and experiment). All thedefined data mining entities organized in the form of an ontology would be a backbone of the systems for automated data mining

Market Analysis:

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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Related Societies and Associations:

  •  Analytics Society of India
  •  AAI: Advanced Analytics Institute
  •  American Statistical Association
  •   ICDM, IEEE International Conference on Data Mining
  •  International Institute for Analytics
  •  IIBA, International Institute for Business Analysis
  •   KDNet-European Knowledge Discovery Network of Excellence
  •  National Center for Data Mining (NCDM)
  •  SF Bay ACM Data Mining SIG
  •  SIGMOD
  •  Web Analytics Association (WAA)
  •  ASAE

Related Companies:

  •   Kxen
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  •  TellApart
  •  Preact
  •  Trooval
  •  Mattermart
  •  BlackLocus
  •  Sense
  •  View The Space
  •  DataFox
  •  Embarke
  •  Framed Data 

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This page was last updated on December 24, 2024

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