Main Reference Paper negFIN: An efficient algorithm for fast mining frequent itemsets , Expert Systems With Applications, 2018 [Java]
  • This work proposes a new data structure called NegNodeset. Based on the data structure, this work proposes a algorithm named as negFIN, a fast algorithm for mining frequent itemsets. It consists of three steps. In first two steps, the BMC-tree is constructed, all frequent 1-itemsets, frequent 2-itemsets and theirs are identified. In the third step, all frequent k-itemsets and theirs NegNodeset are identified, and other levels of the set-enumeration tree are constructed.

Description
  • This work proposes a new data structure called NegNodeset. Based on the data structure, this work proposes a algorithm named as negFIN, a fast algorithm for mining frequent itemsets. It consists of three steps. In first two steps, the BMC-tree is constructed, all frequent 1-itemsets, frequent 2-itemsets and theirs are identified. In the third step, all frequent k-itemsets and theirs NegNodeset are identified, and other levels of the set-enumeration tree are constructed.

  • To reduce the time complexity.

  • Reducing memory consumption.

Aim & Objectives
  • To reduce the time complexity.

  • Reducing memory consumption.

  • The proposes work enhances to mine frequent itemsets under other distributed/parallel systems

Contribution
  • The proposes work enhances to mine frequent itemsets under other distributed/parallel systems

  • M.E / M.Tech/ MS / Ph.D.- Customized according to the client requirements.

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Order To Delivery
  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

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