Thursday, May 16, 2019

Business intelligence Technologies Assignment Example | Topics and Well Written Essays - 2000 words

telephone line intelligence Technologies - Assignment ExampleIn addition to that, the patterns argon viewed as summaries of the input information, hence use in further analysis or in predictive analytics and machine learning. For instance, it may identify mixed groups in the info, which are then used to acquire more truthful prediction results by closing support systems.Knowledge discovery in databases (KDD) process is generally defined using the following stages selection, preprocessing, transformation, data mining, and interpretation. However, it exists in many variations of this theme such as the Cross Industry Standard Process for entropy Mining (CRISP-DM). This theme defines knowledge discovery in six phases understanding of business, understanding of data, preparation of data, modeling, evaluation, and deployment of the results (Ling Liu & tame 2009). Another example of theme follows a simplified process such as pre-processing of data, mining of data and validating the re sults obtained.Pre processing involves assembling a buttocks data- since data mining only covers the patterns that are fundamentally present in the data, the dataset targeted should be e big enough to hold these patterns while at the comparable time remaining brief enough to be extracted within an acceptable timeframe. Common data sources are data warehouses and data marts. Pre-processing of data is indispensable in the analysis multivariate datasets before the mining of data. Therefore, the target set is cleaned. The data cleaning involves the removal of all observations containing the missing data as well as noise.Data mining engage six general groups of tasks. The first task is anomaly detection- this refers to the identification of ludicrous but interesting data records or erroneous data that needs further investigation. Secondly, an association search is the next task. This task involves the relationship existing between variables (Ling Liu & Tamer 2009). The third task is known as classification it involves all the undertakings

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