Groceries               package:arules               R Documentation

_G_r_o_c_e_r_i_e_s _D_a_t_a _S_e_t

_D_e_s_c_r_i_p_t_i_o_n:

     The 'Groceries' data set contains 1 month (30 days) of real-world
     point-of-sale transaction data from a typical local grocery
     outlet.  The data set contains 9835 transactions and the items are
     aggregated to 169 categories.

     If you use this data set in your paper, please refer to the paper
     in the references section.

_U_s_a_g_e:

     data(Groceries)

_F_o_r_m_a_t:

     Object of class 'transactions'.

_S_o_u_r_c_e:

     The data set is provided for arules by Michael Hahsler, Kurt
     Hornik  and Thomas Reutterer.

_R_e_f_e_r_e_n_c_e_s:

     Michael Hahsler, Kurt Hornik, and Thomas Reutterer (2006)
     Implications of probabilistic data modeling for mining association
     rules. In M. Spiliopoulou, R. Kruse, C. Borgelt, A. Nuernberger,
     and W. Gaul, editors, _From Data and Information Analysis to
     Knowledge Engineering, Studies in Classification, Data Analysis,
     and Knowledge Organization_, pages 598-605. Springer-Verlag.

