* Your assessment is very important for improving the work of artificial intelligence, which forms the content of this project
柏際股份有限公司 BockyTech, Inc. 100台北市中正區延平南路70號5F之5 Tel：886-2-23618050 Fax：886-2-23619803 See5 / C5.0 5F-5, 70, Yanping S. Rd., Taipei 100, Taiwan, R.O.C. Http://www.bockytech.com.tw New in Release 2.03 This state-of-the-art system constructs classifiers in the form of decision trees and rulesets. See5/C5.0 has been designed to operate on large databases and incorporates innovations such as boosting. Weighting individual cases The training cases for some applications have different relative importance. In a customer retention application, for example, the importance of a case describing a customer might depend on the size of the customer's account. Release 2.03 introduces an optional case weight attribute with numeric values; the effect is to bias the development of a classifier to increase accuracy on more important cases. Smaller trees for applications with multi-valued discrete attributes The algorithms for discrete attributes have been further improved. One noticeable consequence is that decision trees tend to be both smaller and more accurate when there are discrete attributes with many values. Better use of cost information While the treatment of costs for two-class problems remains much the same, the handling of cost information for applications with three or more classes has been extensively revised. Muti-class applications that specify a costs file should now observe lower average misclassification costs for unseen cases, especially when rulesets are generated. Other changes and bug fixes There have been minor modifications to the way soft thresholds for decision trees are found. Two small bugs in the Windows GUI have been rectified. These concern the display of implicitly-defined discrete attributes when the value is unknown, and the possible change of classifier settings when the "Cross-reference" or "Making predictions" windows are invoked immediately after a cross-validation. 柏際股份有限公司 BockyTech, Inc. 100台北市中正區延平南路70號5F之5 Tel：886-2-23618050 Fax：886-2-23619803 5F-5, 70, Yanping S. Rd., Taipei 100, Taiwan, R.O.C. Http://www.bockytech.com.tw Data Mining Tools See5 and C5.0 Data mining is all about extracting patterns from an organization's stored or warehoused data. These patterns can be used to gain insight into aspects of the organization's operations, and to predict outcomes for future situations as an aid to decision-making. Patterns often concern the categories to which situations belong. For example, is a loan applicant creditworthy or not? Will a certain segment of the population ignore a mailout or respond to it? Will a process give high, medium, or low yield on a batch of raw material? See5 (Windows 98/Me/2000/XP) and its Unix counterpart C5.0 are sophisticated data mining tools for discovering patterns that delineate categories, assembling them into classifiers, and using them to make predictions. Some important features: • • • • See5/C5.0 has been designed to analyse substantial databases containing thousands to hundreds of thousands of records and tens to hundreds of numeric, time, date, or nominal fields. To maximize interpretability, See5/C5.0 classifiers are expressed as decision trees or sets of if-then rules, forms that are generally easier to understand than neural networks. See5/C5.0 is easy to use and does not presume any special knowledge of Statistics or Machine Learning (although these don't hurt, either!) RuleQuest provides C source code so that classifiers constructed by See5/C5.0 can be embedded in your organization's own systems.