The process of examining, purifying, manipulating, and modelling data in order to find relevant information, support inferences, and help decision-making. Data analysis is utilised in a range of business, scientific, and social science sectors. It has many dimensions and methodologies, encapsulating several techniques under many titles. Data analysis contributes to more scientific decision-making and helps firms run more efficiently in today's business world. Business intelligence refers to data analysis that significantly depends on aggregation, focusing mostly on business information, whereas data mining is a specific data analysis approach that focuses on statistical modelling and knowledge discovery for predictive rather than just descriptive reasons. The two types of data analysis used in statistical applications are descriptive statistics and exploratory data analysis EDA.
Title : Application of vanadium and tantalum single-site zeolite catalysts in heterogeneous catalysis
Stanislaw Dzwigaj, Sorbonne University, France
Title : Developing novel sensing platforms using nanostructures
Harry Ruda, University of Toronto, Canada
Title : Solid state UV cross-linking for advanced manufacturing
Huang WM, Nanyang Technological University, Singapore
Title : The effect of substitution of Mn by Pd on the structure and thermomagnetic properties of the Mn1−xPdxCoGe alloys (where x = 0.03, 0.05, 0.07 and 0.1)
Piotr Gebara, Czestochowa University of Technology, Poland
Title : Evaluation of mineral jelly as suitable waterproofing material for ammonium nitrate
Ramdas Sawleram Damse, HEMRL, India
Title : The role of tunable materials in next-gen reconfigurable antenna design
Nasimuddin, Institute for Infocomm Research, A-STAR, Singapore