Introduction to Data Mining (All solved 100% accurately)

Big Data correct answers a collection of datasets that are large and complex in nature They constitute both structured and unstructured data that grow large so fast that they are not manageable by traditional relational database systems or conventional statistical tools Volume, Velocity, Variety, Value, Veracity correct answers Characteristics of Big Data Volume correct answers terabytes, records/arch, transactions, tables and files, scale of data Velocity correct answers batch, real/near-time, processes, streams, analysis of streaming data Variety correct answers structured, unstructured, multi-factor, probabilistic, different forms of data Veracity correct answers trustworthiness, authenticity, origin, representation, availability, accountability, uncertainty of data Value correct answers statistical, events, correlations, hypothetical Retail, Banks & Insurance, Healthcare & Research, Telco, Energy & Utilities, Automotive Production correct answers Some big data application areas Data Mining correct answers refers to the activity of going through big data sets to look for relevant or pertinent information used to uncover the pieces of information that will inform leadership and help chart the course for a business. Data Mining correct answers A practice of sifting through a large dataset in search of previously unrecognized patterns Finding useful patterns in a data uses some computational methods to discover meaningful and useful structures in a data Data Mining correct answers Knowledge discovery in databases is the non-trivial process of valid, novel, useful and ultimately understandable patterns or relationships in data to make important decisions The ultimate objective of data mining is to find potentially useful conclusions that can be acted upon by the users of the analysis helps extract information