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Visual Data Mining

Data mining has been defined as “the nontrivial extraction of implicit, previously unknown, and potentially useful information from data”. Making sense of the ever multiplying data seems impossible and one can get lost. It is said that the next few years will generate more data than all past data in human history. Exploring massive data sets is a challenge and this is where visual data mining can help. Information visualization basically lets us see the information or data and thus using human logic the user himself can directly interact with the data.The main advantages of visual data mining in comparison to automatic data mining techniques using statistics or machine learning are,

  • We can deal better with non homogeneous data
  • Mining is done out of intuition
  • No need to know mathematics/ algorithms
  • Faster data exploration
  • Visual data mining is thrilling

What are the different types of data that are visualized? They are,

  • One dimensional data
  • Two dimensional data
  • Multi dimensional data
  • Bar charts /graphs

Besides the above mentioned visualizations there are many highly sophisticated visualization techniques that have been developed over the past decade. Some of these techniques are,

  • Geometrically transformed data technique
  • Distortion techniques
  • Iconic display technique
  • Dense Pixel display
  • Stacked displays
  • Dynamic projections
  • Interactive filtering
  • Interactive linking/ brushing

Managed Outsource Solutions is a US based outsourcing / offshoring pioneer company offering professional data mining and KDD services besides services like data entry, data cleansing, data processing, and web data extraction to its clients in the US, Canada the UK and Australia.

About Julie Clements

Julie Clements

Joined the MOS team in March of 2008. Julie Clements has background in the healthcare staffing arena; as well as 6 years as Director of Sales and Marketing at a 4 star resort. Julie was instrumental in the creation of the medical record review division (and new web site); and has especially grown this division along with data conversion of all kinds.