Main Reference PaperParallel Frequent-Item Sets Mining Using Systolic Arrays, Oct 2012
  • This project describes solution for high execution time and computational overhead in frequent itemset mining. The frequent itemsets are mined through parallel processing by systolic array. Parallel processing reduces the computational cost. Dataset dimensionality is reduced using row elimination and column elimination technique.

+ Description
  • This project describes solution for high execution time and computational overhead in frequent itemset mining. The frequent itemsets are mined through parallel processing by systolic array. Parallel processing reduces the computational cost. Dataset dimensionality is reduced using row elimination and column elimination technique.

  • The main objective of this project is to mine frequent itemsets from large and high dimensional datasets. The datasets are compressed using bit matrix representation. Irrelevant datasets are removed using minimum support threshold value using row and column elimination. Parallel processing of systolic array is used to mine the reduced frequent dataset.

+ Aim & Objectives
  • The main objective of this project is to mine frequent itemsets from large and high dimensional datasets. The datasets are compressed using bit matrix representation. Irrelevant datasets are removed using minimum support threshold value using row and column elimination. Parallel processing of systolic array is used to mine the reduced frequent dataset.

  • Duplicate itemsets elimination technique is used to reduce the size of the dataset. The technique traverses each itemsets and eliminates duplicate itemsets. This technique speeds up the systolic array processing and facilitates mining of the frequent items. Furthermore, the computational overhead is considerably reduced.

+ Contribution
  • Duplicate itemsets elimination technique is used to reduce the size of the dataset. The technique traverses each itemsets and eliminates duplicate itemsets. This technique speeds up the systolic array processing and facilitates mining of the frequent items. Furthermore, the computational overhead is considerably reduced.

  • Java JDK 1.8, MySQL 5.5.40

  • Netbeans 8.0.1, J2SE

+ Software Tools & Technologies
  • Java JDK 1.8, MySQL 5.5.40

  • Netbeans 8.0.1, J2SE

  • B.E / B.Tech / M.E / M.Tech

+ Project Recommended For
  • B.E / B.Tech / M.E / M.Tech

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