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数据挖掘中判定树算法SLIQ的设计与应用 被引量:7

Design and Application of Decision Tree Algorithm SLIQ in Data Mining
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摘要 分析了一种用Gini指标进行属性选择的SLIQ算法,讨论了提高效率的可行方法。把算法用到电力市场发电竞价决策系统中,通过对发电商的竞标能力进行挖掘,获取的知识对发电商的决策有重要现实意义。 An algorithm SLIQ which uses Gini index to select attribute is presented. How to improve efficiency is also discussed. A feasible method based on SLIQ is applied to the generation unit's bidding decision system of electricity market. The knowledge that the ability of unit bidding is gained by data mining, this knowledge is very useful to supporting the bidder to make decisions.
出处 《计算机工程》 EI CAS CSCD 北大核心 2005年第6期60-62,共3页 Computer Engineering
基金 湖南省教育厅科学研究基金资助项目(02C064)
关键词 数据挖掘 判定树 分类规则 SLIQ Gini指标 电力市场 Data mining Decision tree Classification rule SLIQ Gini index Electricity market
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参考文献5

  • 1HanJiawei MichelineKamber.数据挖掘概念与技术[M].北京:机械工业出版社,2001.152-160. 被引量:34
  • 2Mehta M, Agrawal R, Rissanen J. SLIQ: A Fast and Scalable Classifier for Data Mining. IBM Almaden Research Center, 1996. 被引量:1
  • 3颜宏文,马瑞,晏弼成.基于信息熵构造判定树的数据挖掘算法的设计与实现[J].计算机工程与应用,2003,39(23):180-182. 被引量:13
  • 4Wilson(Ed.). The Knowledge Discovery Process, A Problem Solving Methodology. Computer Associates International, Inc., 1998. 被引量:1
  • 5Ricse, Martin. The Gini-index as a Measure of the Goodness of Prediction. Working Paper 9502, University of Linz, 1995?A?A. 被引量:1

二级参考文献3

  • 1S M Weiss,C A Kulikowski.Computer Systems That Learning:Classification and prediction Methods from statistics ,Neural Nets ,Machine Learning,and Expert Systems[M].San Mateo,CA:Morgan Kaufmann,1991. 被引量:1
  • 2S K Murthy.Automatic construction of decision trees from data:A multidisciplinary survey[J].Data Mining and Knowledge Discovery,1998; 2: 345-389. 被引量:1
  • 3J Gehrke,R Ramakrishnan,V Ganti.Rainforest:A framework for fast decision tree construction of large datasets[C].In:Pvoc 1998 Int Conf Very large Data Bases,New York,1998-08:416~427. 被引量:1

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