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A concise overview of data mining, covering its definition, processes, and various techniques. It explains the purpose of data mining, which involves exploring and analyzing large datasets to discover meaningful patterns and rules. The document also differentiates between directed and undirected data mining, outlines the data mining cycle, and describes common data mining tasks such as classification, estimation, prediction, affinity grouping, and clustering. It is a useful resource for understanding the fundamentals of data mining and its applications. (404 characters)
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Data Mining - ANSWERData Mining is the exploration and analysis of large quantities of data in order to discover meaningful patterns and rules Data mining is the process of - ANSWERusing "raw" data to infer important "business" relationships Data Mining is a collection of - ANSWERpowerful techniques intended for analyzing large amounts of data the approach of data mining - ANSWERThere is no single data mining approach, but rather a set of techniques that can be used stand alone or in combination with each other why data mining - ANSWERMore data is being generated Data is being warehoused Computing power is affordable Competitive pressure is strong Need to leverage IS for competitive advantage Commercial data mining software products are available In the early 1960s, data mining was called - ANSWERstatistical analysis By the late 1980s, the traditional techniques - ANSWERhad been augmented by new methods such as fuzzy logic, heuristics and neural networks data warehouse - ANSWERa copy of transaction data specifically structured for querying, analysis and reporting things to notice about data warehouse - ANSWERcontains a copy of the transactions which are not updated or changed later by the transaction system data is specially structured, and may have been transformed when it was copied into the data warehouse Data Mart - ANSWERis a smaller, more focused Data Warehouse
A Data Mart typically reflects - ANSWERthe business rules of a specific business unit within an enterprise what is the hierarchy of warehouse and data mart - ANSWERdata warehouse->data mart->decision support info two types of data mining - ANSWERDirected -Attempts to explain or categorize some particular target field such as income or response Undirected -Attempts to find patterns or similarities among groups of records without the use of a particular target field or collection of predefined classes cycle of data mining - ANSWERidentify business problems->data mining->act on info-
measure the results data mining tasks - ANSWERClassification Estimation Prediction Affinity Grouping Clustering classification - ANSWERExamining features of an object and assigning it to one of a predefined set of classes (need to be well defined) Classifier model may be built using - ANSWERa training set of preclassified objects examples of classification - ANSWERCharacter recognition Assigning loan applications into {approve, deny, incomplete, seek more information}
Determine gender based on age and movies seen data mining methods for classification - ANSWERDecision trees, pattern recognition, memory-based reasoning, link analysis Estimation - ANSWERGenerate an output value based on a set of input quantities is estimation similar to classification - ANSWERYes, and also may be "trained," but deals with a range of output values