Journal of Computer Science & Systems Biology

Seema Vaidya

Publications

• Research Article
  Predicting Rare Disease of Patient by Using Infrequent Weighted Itemset
  Author(s): Seema Vaidya and Deshmukh PKSeema Vaidya and Deshmukh PK
  
  Mining association rule is a key issue in information mining. Nevertheless, the customary models overlook the differences among the trades, and the weighted association rule mining does not process on databases with simply binary attributes. Paper propose a novel frequent patterns and execute a tree (FP-tree) structure, which is an intensified prefix-tree structure for securing compacted, critical information about patterns, and make a capable FP-tree-based mining framework, FP improved function algorithm is utilized, for mining the complete arrangement of patterns by example frequent development. Here in this paper tackles the purpose of making extraordinary and weighted itemsets, i.e. infrequent weighted itemset mining problem. The two novel brilliance measures are proposed for figuring the infrequent weighted itemset mining issue. Moreover, the algorithm are tackled which perform I.. Read More»
  DOI: 10.4172/jcsb.1000194

  Abstract PDF