Apriori没有足够的记忆

Question

我正在使用R，我使用以下命令，我得到错误not enough memory. Increase minimum support!我尝试将支持增加到0.5，但我仍然得到相同的错误。任何帮助，将不胜感激。我的数据是（5000,2）。

> x=apriori(d,parameter = list(support=0.5,confidence=0.8,maxlen=5))

Apriori

Parameter specification:
 confidence minval smax arem  aval originalSupport maxtime support minlen maxlen target   ext
        0.8    0.1    1 none FALSE            TRUE       5     0.3      1      5  rules FALSE

Algorithmic control:
 filter tree heap memopt load sort verbose
    0.1 TRUE TRUE  FALSE TRUE    2    TRUE

Absolute minimum support count: 0 

set item appearances ...[0 item(s)] done [0.00s].
set transactions ...[2856 item(s), 2 transaction(s)] done [0.00s].
sorting and recoding items ... [2856 item(s)] done [0.00s].
creating transaction tree ... done [0.00s].
checking subsets of size 1 2 3 done [183.38s].
writing ... Error in apriori(d, parameter = list(support = 0.3, confidence = 0.8,  : 
  not enough memory. Increase minimum support!
In addition: Warning messages:
1: In asMethod(object) : removing duplicated items in transactions
2: In apriori(d, parameter = list(support = 0.3, confidence = 0.8,  :
  Mining stopped (time limit reached). Only patterns up to a length of 3 returned!

Answer 1

您需要超过2笔交易。关联规则挖掘通常用于数千个事务。