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By Soumen Chakrabarti, et al

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1 Enumerating the Concept Space Regarding it as search is a good way of looking at the learning process. However, the search space, although finite, is extremely big, and it is generally impractical to enumerate all possible descriptions and then see which ones fit. In the weather problem there are 4 × 4 × 3 × 3 × 2 = 288 possibilities for each rule. There are four possibilities for the outlook attribute: sunny, overcast, rainy, or it may not participate in the rule at all. Similarly, there are four for temperature, three for weather and humidity, and two for the class.

Machine learning can help companies to find the targets. 6 Other Applications There are countless other applications of machine learning. We briefly mention a few more areas to illustrate the breadth of what has been done. Sophisticated manufacturing processes often involve tweaking control parameters. Separating crude oil from natural gas is an essential prerequisite to oil refinement, and controlling the separation process is a tricky job. British Petroleum used machine learning to create rules for setting the parameters.

2 Data Warehouses and Data Marts Data warehouses and data marts were conceived as a means to facilitate the compilation of regular reports on the status of the business by continuously collecting, cleaning, and summarizing the core data of the organization. Data warehouses provide a clean and organized source of data for data mining. In most cases, however, data warehouses were not created to prepare data for data modelers; they were rather created with a certain set of reporting functions in mind.

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