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See5/C5.0 2.10
資料採礦軟體
Effective data mining tools that construct classifiers
軟體代號:2730
瀏覽次數:12
Windows2000WindowsXPWindows7Windows8
遠端展示
在地教學
產品說明會
教育訓練
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See5/C5.0See5/C5.0See5/C5.0See5/C5.0

健行學校財團法人健行科技大學
僑光科技大學
國立東華大學
國立臺灣科技大學
華梵大學
國立臺北商業大學
明志科技大學
義守大學
長庚醫療財團法人 (高雄)
工業管理學系
環境資源管理學系
資訊管理學系
企業管理學系
營建工程學系
環境與安全衛生工程學系
放射腫瘤科
Features

Some important features:

  • See5/C5.0 has been designed to analyze substantial databases containing thousands to hundreds of thousands of records and tens to hundreds of numeric, time, date, or nominal fields. See5/C5.0 also takes advantage of computers with up to eight cores in one or more CPUs (including Intel Hyper-Threading) to speed up the analysis.
  • 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 available for Windows 2000/Xp/Vista/7 and Linux.
  • 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.

If you would like to learn more about See5/C5.0 or try out the systems, here are some useful links:

  • Source code for a single-threaded version of C5.0 (Linux) is available under the Gnu GPL. Please see the downloads page.
  • A few sample applications show the sorts of results achievable with See5/C5.0.
  • Links to several publications by See5/C5.0 users are available here.
  • Tutorials describing and illustrating the use of See5/C5.0 are available for the Windows and Unix versions.
  • Free demonstration versions (limited to small datasets) and the public code to read and interpret See5/C5.0 classifiers are available from our downloads page.
  • An on-line form is provided for obtaining a ten-day evaluation licence for See5 or C5.0.
  • If you have tried earlier versions of See5/C5.0, here is a summary of new features in Release 2.08.
Overview

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 2000/Xp/Vista/7) 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.

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Chien Hsin University of Science and Technology Department of Industrial Management
Overseas Chinese University Department of Environmental Resources Management
National Dong-Hwa University DEPARTMENT OF INFORMATION MANAGEMENT
National Taiwan University of Science and Technology Department of Industrial Management
Hua Fan University DEPARTMENT OF INFORMATION MANAGEMENT