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Assignment TopicIntroduction to Database mining toolsSubmitted To:Dr.Madieha AmbreenSubmitted By:Qurra-Tul-Ain FatimaRoll no:018Department:Botany2nd (Evening)Subject:BioinformaticsMinhaj University LahoreDatabase?
A database is an organized collection of structuredinformation, or data, typically stored electronicallyin a computer system. A database is usuallycontrolled by a database management system(DBMS). Most databases use structured querylanguage (SQL) for writing and querying data.Data mining?In simple words, data mining is defined as a processused to extract usable data from a larger set of anyraw data. It implies analyzing data patterns in largebatches of data using one or more software. Datamining has applications in multiple fields, likescience and research.As an application of data mining, businesses canlearn more about their customers and developmore effective strategiesrelated to various businessfunctions and in turn leverage resources in a moreoptimal and insightful manner. This helps businessesbe closer to their objective and make betterdecisions. Data mining involves effective data
collection and warehousing as well as computerprocessing.Application of Data Mining inBioinformaticsAs discussed bioinformatics is an increasingly datarich industry and thus using data mining techniqueshelps to propose proactive research within specificfields of the biomedical industry. Additionally thisallows for researchers to develop a betterunderstanding of biological mechanisms in order todiscover new treatments within healthcare andknowledge of life. In recent years the computationalprocess of discovering predictions, patterns anddefining hypothesis from bioinformatics researchhas vastly grown (Fogel, Corne and Pan, 2008).Raza (2010), explains that data mining withinbioinformatics has an abundance of applicationsincluding that of “gene finding, protein functiondomain detection, function motif detection andprotein function inference”. Data banks such as the
Protein Data Bank (PDB) have millions of records ofvaried bioinformatics, for example PDB has 12823positions of each atom in a known protein (RCSBProtein Data Bank, 2017). The methods ofclustering, classification, association rules and thelikes discussed previously are applied to this data inorder to predict sequence outputs and create ahypothesis based on the results. Though theseresults may not be exact, as that would requirea physical model, the application of data miningallows for a faster result.Importance of data mining:Data mining helps to develop smart marketdecision, run accurate campaigns, make predictions,and more; with the help of Data mining, we cananalyze customer behaviors andtheir insights.This leads to great success and data-drivenbusinesses.

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