Subspace clustering for high dimensional datasets
G. N. V. G. Sirisha, M. Shashi · International Journal of Advanced Computer Research · 2016
Development of communication technology and advancements made in data collection equipment has enabled collection of different types of data at high space and time granularities.The devices like bar code scanners, radio frequency identification devices and smart card readers are being used by many businesses and organizations nowadays for collecting data.Different types of sensors and video surveillance equipment are used frequently in almost all fields to ensure safety and security.Remote sensing satellites are extensively used for collecting data in applications including meteorological data collection, forest and land usage monitoring, oceanography, global positioning systems, etc.Some of these devices generate a continuous flow of data called data streams.With the availability of high capacity storage devices every organization is accumulating large volumes of data over the years.Extracting useful information and knowledge from the accumulated data is essential for gaining competitive advantage.It is impossible to extract knowledge from large volumes of data manually.