A Novel Web Classification Algorithm Using Fuzzy Weighted Association Rules

Algorithm 1

The new algorithm used for web classification.

Algorithm FWCA (𝑛,𝑝)

{

// 𝑛 is the number of access sequence

// 𝑝 is the number of web categories

// 𝑊[𝑛,𝑝] is the weights of web pages for 𝑛 sessions

// seq[𝑛,𝑝] is the rules generated

for 𝑖=1 to 𝑛

 {

 for𝑗=1 to 𝑝

 {

   𝑤[𝑖,𝑗] = weight(𝑖,𝑝)

 }

 }

Sort (𝑤[𝑛,𝑝])

rule = 1

for 𝑖=1 to 𝑛

 {

   𝑘=2

   Support = (Max(𝑊[𝑖,1…𝑝]))

   while support≥∞

   {

  wm = (Max(𝑊[𝑖,𝑘…𝑝]))

  Seq[rule, 𝑘] = Addwebtype(wm)

  Support = support * wm

  Delete(wm)

  𝑘=𝑘+1

   }

 Rule = rule + 1

 }

for 𝑖=1 to rule

 {

 if confidence(seq[𝑖,𝑝]) > 𝛽

 print(seq[𝑖,𝑝])

 }

}