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Describe data cleaning and data dredging
Describe data cleaning and data dredging







There are tonnes of data available on multiple platforms, but very limited knowledge is accessible. Specific firms can also use new technologies to save data that is impossible to find manually. It is completed through software that is simple or greatly specific.īy outsourcing data mining, all the work can be done quicker with low operation costs. This phase contains several types of services including text mining, web mining, audio and video mining, pictorial data mining, and social media mining. It is carried out by a person, in a particular situation, on a specific data set, with an objective.

describe data cleaning and data dredging

It is the procedure of selection, exploration, and modeling of high quantities of information to find regularities or relations that are at first unknown to obtain clear and beneficial results for the owner of the database.ĭata Mining is similar to Data Science. It is the analysis of factual datasets to discover unsuspected relationships and to summarize the records in novel methods that are both logical and helpful to the data owner. Data mining is the process of finding useful new correlations, patterns, and trends by transferring through a high amount of data saved in repositories, using pattern recognition technologies including statistical and mathematical techniques.









Describe data cleaning and data dredging