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 : A proposal of chemical sensor based on polycrystalline Cu2O nanofilm
Paulo Cesar De Morais, Catholic University of Brasilia, Brazil
Title : Plant-mediated synthesis of silver nanoparticles and zinc oxide nanoparticles and application of AgNPs for the development of antimicrobial biopolymer films in food packaging
Garva Anup Karmarkar, Vishwakarma Institute of Technology, India
Title : Thermodynamic analysis of a combined modified Kalina–GT-MHR cycle with porous medium effects
Rakesh Manilal Harjivandas Patel, Government Science College, Gandhinagar, India
Title : Non-newtonian rheology on curved circular squeeze films using the Rabinowitsch fluid model
Rakesh Manilal Harjivandas Patel, Government Science College, Gandhinagar, India
Title : Ferrofluid mediated synthesis of nanomagnetic polymer materials in supercritical fluids
M G H Zaidi, G B Pant University of Agriculture & Technology, India
Title : Shape memory phenomena and twinning-detwinning reactions and crystallographic transformations in shape memory alloys
Osman Adiguzel, Firat University, Turkey