Mining science data

Data Mining and Innovation Science

A newly introduced product or service becomes an innovation after it has been proven in market. No one likes the fact that market failures of products and services are much more common than commercial successes. The ideas introduced in this paper are applicable to the evaluation of the innovativeness of planned introductions of design changes, products, and services. In fact, blends of products...

Data science, big data and granular mining

Data science, big data and granular mining

With the evolution of various modern technologies, huge amount f data is being constantly generated and collected around us. We re in the midst of what is popularly called information revolution nd are living in a so-called world of knowledge. Intentionally and/or ccidentally, generation of these data is inevitable. As a result, large ata, broadly characterised by three Vs – large volume, veloc...

Enchilada: Data Mining Software for Atmospheric Science

Enchilada (Environmental Chemistry through Intelligent Atmospheric Data Analysis) is a software system in development that enables data mining on atmospheric data. Enchilada enables the analysis of atmospheric mass spectra and time series by providing a variety of data mining and visualization tools. Data in Enchilada can come from a variety of sources. To date, the project has focused heavily ...

Forecasting Stock Trend by Data Mining Algorithm

Stock trend forecasting is a one of the main factors in choosing the best investment, hence prediction and comparison of different firms’ stock trend is one method for improving investment process. Stockholders need information for forecasting firm’s stock trend in order to make decision about firms’ stock trading. In this study stock trend, forecasting performs by data mining algorithm. It sho...