ne of themost popular datamining approaches is to fi nd frequent itemsets froma transaction dataset and derive association rules. Finding frequent itemsets (itemsetswith frequency larger than or equal to a user specifi ed minimum support) is not trivial because of its combinatorial explosion. Once frequent itemsets are obtained, it is straightforward to generate association rules with confi dence larger than or equal to a user specifi ed minimum confi dence

新课程改革下计算机教学的反思.doc

• We are an exchange download platform that only provides communication channels. The downloaded content comes from the internet. Except for download issues, please Google on your own.
• The downloaded content is provided for members to upload. If it unintentionally infringes on your copyright, please contact us.
• Please use Winrar for decompression tools
• If download fail, Try it againg or Feedback to us.
• If downloaded content did not match the introduction, Feedback to us，Confirm and will be refund.
• Before downloading, you can inquire through the uploaded person information

Nothing．