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Data mining is the process of using software to analyze and summarize data from various sources and make it useful for use. Usually, data mining involves a large quantity of data that cannot be easily analyzed using manual means. However, data mining software can be instrumental in applying various dimensions in identifying the correlation in large volumes of data. Data mining is an organized process that entails activities like raw data analysis, data aggregation, association rule learning, anomaly detection, data pre-processing, summarization, data management, clustering, regression and online updating. With the overall objective of mining and changing data into a simple structure, data mining can be applied in different fields including business, pattern mining, human rights, surveillance, games, sensor data mining, medical data mining, engineering and music. For instance, in business, data mining can be used to analyze information so as to reveal the trends of sales, purchases and customer loyalty.

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Transforming data into understandable form for the user should be a proactive function of any data mining software developer. Crucial information need to be extracted from a data set for further processing. The procedures for data mining are best analyzed by data mining experts who by chance are engaged at My 'Assignment Services'. Our professional writers do understand the processes involved in data mining; therefore can work on all categories of assignments which deal with data mining. The six common classes of tasks in data mining such as anomaly detection, association rule learning, clustering, classification, regression and finally summarizing are best explained by experts at 'My Assignment Services', who have superior training in computer science assignment. The professional writers we recruit are well refined data mining experts who provide detailed explanations on data mining assignments presented by clients. Our experts, through their quality assignments, have made many clients score good grades in their assignments. Data mining experts are knowledgeable on many topics including, but not limited to Classes of tasks in data mining, applications of data mining, Knowledge Discovery in Databases (KDD) process, meaning of data mining, standards for the data mining process, Cross Industry Standard Process for Data Mining (CRISP-DM), relevance of European Cross Industry Standard Process for Data Mining (CRISP-DM 1.0) to data mining process and privacy concerns in data mining.

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