A brief overview on Data mining - International Journal of Computer ...

ISSN 2249-6343International Journal of Computer Technology and Electronics Engineering (IJCTEE)Volume 1, Issue 3Each data mining algorithm can be decomposed into fourcomponents:1. Model or pattern structure2. Interestingness measure (score function)3. Search method4. Data management strategyIn decision analysis, a decision tree can be used to visuallyand explicitly represent decisions and decision making. In datamining, a decision tree describes data but not decisions; ratherthe resulting classification tree can be an input for decisionmakingA decision support system (DSS) is a computer-basedinformation system that supports business or organizationaldecision-making activities. DSSs serve the management,operations, and planning levels of an organization and help tomake decisions, which may be rapidly changing and not easilyspecified in advance.DSSs include knowledge-based systems. A properly designedDSS is an interactive software-based system intended to helpdecision makers compile useful information from a combinationof raw data, documents, personal knowledge, or businessmodels to identify and solve problems and make decisions.Data mining requires data preparation which can uncoverinformation or patterns which may compromise confidentialityand privacy obligations. A common way for this to occur isthrough data aggregation. Data aggregation is when the data areaccrued, possibly from various sources, and put together so thatthey can be analyzed. [38] This is not data mining per se, but aresult of the preparation of data before and for the purposes ofthe analysis. The threat to an individual's privacy comes intoplay when the data, once compiled, cause the data miner, oranyone who has access to the newly compiled data set, to beable to identify specific individuals, especially when originallythe data were anonymous.Data mining based on neural network:The data mining based on neural network is composed bydata preparation, rules extracting and rules assessment threephases, as shown in Fig. 2.Fig.5: Algorithm processData mining based on decision treeDecision tree learning, used in statistics, data mining andmachine learning, uses a decision tree as a predictive modelwhich maps observations about an item to conclusions about theitem's target value. More descriptive names for such tree modelsare classification trees or regression trees. In these treestructures, leaves represent class labels and branches representconjunctions of features that lead to those class labels.Fig.6: Data mining process on neural network118