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The Importance Of Knowledge Discovery

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The knowledge discovery is an essential process in knowledge management. As stated by (Nonaka., 1994) knowledge discovery is aimed to find new knowledge that help in making decision based on available information within the organization whether the knowledge are explicit or tacit. Moreover, knowledge discovery is a set of procedures, practices and methods that must be followed in order to extract, organize, filter and establish relationship among information to support decision-making (Soundararajan, Joseph, Jayakumar and Somasekharan., 2005).
Knowledge discovery and data mining are interrelated where the core objective is to find valid, useful, helpful and accurate information and use it to carry out the decision (Óscar Marbán1, Gonzalo …show more content…

According to (Smolnik., 2003), there are variety choices of methods that can be considered based on multiple scenarios as well as the construction, performance and needs of organizations.
Data mining can handle several tasks such as: Clustering and deviation detection, this task is looking for outliers and detecting deviation by grouping similar data with each other based on parameters (Jiawei Han and Raymond., 1994; Suresh Kotha, K.Sudheer Reddy and. Sitha Ramulu., 2012).
As mentioned, clustering has more than one technique such as: hierarchical against partitional, exclusive against overlapping against fuzzy and complete against partial. In addition to that task, classification task is similar to the previous one, but in classification each data must belong to a group, by this, data become more readable and efficient, it reduce the number of data and make it more easier to distinguish and understand (Wenke Lee and Salvatore., 1998; Gibert, Sànchez-Marrè and Codina., 2010; Riedewald., 2012). The dependency modeling is one of the data-mining tasks where the objective is to find the correlation and dependencies between the data to support the coherencies within the data sets (Fayyad et al., 1996; Sumathi and Sivanandam., 2006). Convulsively the summarization, the value of this task is to reduce the number …show more content…

Electronic data repositories currently are growing faster and they contain a big data amount that differs from scientific, commercial, and several domain areas. The ability of storing exceeds the ability of extracting, analyzing, and summarizing the knowledge from a specific data (Puuronen., 2005). The knowledge discovery system use accomplishments from any technical areas including data mining, database, statistics, and knowledge-based systems and more (Tsymbal.,

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