• CMAR

  • Referenced in 53 articles [sw28406]
  • efficient classification based on multiple class-association rules. Previous studies propose that associative classification ... suffers from the huge set of mined rules and sometimes biased classification or overfitting since ... Multiple Association Rules. The method extends an efficient frequent pattern mining method, FP-growth, constructs ... structure to store and retrieve mined association rules efficiently, and prunes rules effectively based...
  • CLOSET

  • Referenced in 51 articles [sw26986]
  • CLOSET: an efficient logarithm for mining frequent closed itemsets. Association mining may often derive ... large set of frequent itemsets and association rules. Recent studies have proposed an interesting alternative ... same power as association mining but substantially reduces the number of rules to be presented ... this paper, we propose an efficient algorithm, CLOSET, for mining closed itemsets, with the development...
  • TBAR

  • Referenced in 7 articles [sw02237]
  • TBAR: An efficient method for association rule mining in relational databases. In this paper ... propose a new algorithm for efficient association rule mining, which we apply in order...
  • FARMER

  • Referenced in 5 articles [sw26987]
  • However, most existing association rule mining algorithms are unable to efficiently handle datasets with large ... association rules from microarray datasets. Instead of finding individual association rules, FARMER finds interesting rule ... rows. Unlike conventional rule mining algorithms, FARMER searches for interesting rules in the row enumeration ... orders of magnitude faster than previous association rule mining algorithms...
  • CAR-Miner

  • Referenced in 2 articles [sw36167]
  • Miner: An efficient algorithm for mining class-association rules. Building a high accuracy classifier ... propose a new method for mining class-association rule. Firstly, we design a tree structure ... efficient algorithm for mining CARs. Experimental results show that our approach is more efficient than ... rules are developed. An efficient algorithm for mining class-association rules based on the MECR...
  • TCOM

  • Referenced in 4 articles [sw02744]
  • purpose of association rule mining is the discovery of association relationships or correlations among ... present an efficient way to find the valid association rules among the infrequent items, which ... itemsets and valid association rules will be mined based on TCOM, which combines the advantages ... TCOM, which significantly improves the efficiency of the mining processes...
  • PROXIMUS

  • Referenced in 12 articles [sw04989]
  • innovative algorithms, novel data structures, and efficient implementation, PROXIMUS computes a concise representation for very ... found application in many areas, including association rule mining, DNA microarray analysis, and business analytics...
  • MODENAR

  • Referenced in 11 articles [sw38284]
  • association rules (ARs) which are optimal in the wider sense that no other rules ... many high-quality ARs as possible. ARs mining problem is formulated as a four-objective ... confidence value and the comprehensibility of the rule are maximization objectives while the amplitude ... intervals which conforms the itemset and rule is minimization objective. It has been designed...
  • Rare-PEARs

  • Referenced in 1 article [sw38285]
  • association rule mining) over several real-world datasets. The results demonstrate high efficiency of Rare...
  • RP-Tree

  • Referenced in 3 articles [sw18882]
  • Tree, a method for mining a subset of rare association rules using a tree structure ... helps to identify the more interesting association rules. Empirical evaluation using a range of real ... Tree itemset and rule generation is more time efficient than modified versions of FP-Growth...
  • NetMine

  • Referenced in 2 articles [sw02020]
  • means of data mining techniques. NetMine performs generalized association rule extraction to profile communications, detect ... anomalies, and identify recurrent patterns. Association rule extraction is a widely used exploratory technique ... entails (i) generating a huge number of rules which are difficult to analyze ... issues NetMine exploits a novel algorithm to efficiently extract generalized association rules, which provide...
  • G3PARM

  • Referenced in 2 articles [sw38288]
  • presents the G3PARM algorithm for mining representative association rules. G3PARM is an evolutionary algorithm that ... Strength Pareto Evolutionary Algorithm) and demonstrate the efficiency of our algorithm in terms of running...
  • ACPRISM

  • Referenced in 1 article [sw36168]
  • classical data mining algorithms. However, current AC algorithms inherit from association rules two major drawbacks ... resulting in a massive set of generated rules, in addition to a very large number ... decrease the number of generated rules. To investigate the efficiency and the performance...
  • CGAL

  • Referenced in 394 articles [sw00118]
  • The goal of the CGAL Open Source Project...
  • GAP

  • Referenced in 3189 articles [sw00320]
  • GAP is a system for computational discrete algebra...
  • LAPACK

  • Referenced in 1702 articles [sw00503]
  • LAPACK is written in Fortran 90 and provides...
  • LEDA

  • Referenced in 263 articles [sw00509]
  • In the core computer science areas -- data structures...
  • Maple

  • Referenced in 5373 articles [sw00545]
  • The result of over 30 years of cutting...
  • MapReduce

  • Referenced in 263 articles [sw00546]
  • MapReduce is a new parallel programming model initially...
  • Mathematica

  • Referenced in 6355 articles [sw00554]
  • Almost any workflow involves computing results, and that...