See5/C5.0 資料採礦軟體-資安軟體/研究分析軟體/心理學軟體/新永資訊有限公司

See5/C5.0 資料採礦軟體

See5/C5.0  資料採礦軟體

  • See5/C5.0 資料採礦軟體
  • 編號
  • 類別
    統計分析軟體
  • 介紹
    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.
  • 價格

See5/C5.0  資料採礦軟體

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 7/8/10) and its Linux 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 analyze substantial databases containing thousands to millions 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 7/8/10 and Linux.
  •  
  • •  See5/C5.0 is  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.
 

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