Please enable JavaScript.
Coggle requires JavaScript to display documents.
Market Basket Analysis (Links (колос (https://datawiz.io/ru/blogs/sotrudni…
Market Basket Analysis
Функціи
-
Асоціативні правила, якщо купують А то мабуть і Б
метрики
-
-
Lift = Confidance/Expected confidence, = confidence(X->Y) / support(Y)
Lift==1 X no impact on Y
Lift > 1 occurrence of X has a positive effect on the occurrence of Y
Lid < 1 occurrence of X has a negative effect on the occurrence of Y
Put X and Y Closer in the Store
Package X with Y
Package X and Y with a poorly selling item
Give Discount on only one of X and Y
Increase the Price of X and lower the price of Y (or vice versa)
Advertise only one of X and Y i.e. do not advertise X and Y together
Example: If X was a toy and Y a form of sweet, then offering sweets in the form of toy X could also be a good option.
-
-
-
-
-
-
-
-
алгоритми
Apriori
I The first pass over the data computes the support of all
single-item sets. Those whose support is less than the
threshold are discarded.
I The second pass computes the support of all item sets of size
two that can be formed from pairs of the single items
surviving the first pass.
I Each successive pass over the data considers only those item
sets that can be formed by combining those that survived the
previous pass with those retained from the first pass.
I Passes over the data continue until all candidate rules from the
previous pass have support less than the specified threshold
I The Apriori algorithm requires only one pass over the data for
each value of T(K), which is crucial since we assume the data
cannot be fitted into a computer’s main memory. If the data
are sufficiently sparse (or if the threshold t is high enough),
then the process w
-
-
-