• CMAR

  • Referenced in 47 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 ... tree structure to store and retrieve mined association rules efficiently, and prunes rules effectively based...
  • CLOSET

  • Referenced in 49 articles [sw26986]
  • mining may often derive an undesirably large set of frequent itemsets and association rules. Recent ... interesting alternative: mining frequent closed itemsets and their corresponding rules, which has the same power ... association mining but substantially reduces the number of rules to be presented. In this paper...
  • arules

  • Referenced in 18 articles [sw07327]
  • package arules: Mining Association Rules and Frequent Itemsets. Provides the infrastructure for representing, manipulating ... association rules). Also provides interfaces to C implementations of the association mining algorithms Apriori...
  • TBAR

  • Referenced in 7 articles [sw02237]
  • TBAR: An efficient method for association rule mining in relational databases. In this paper ... algorithm for efficient association rule mining, which we apply in order to discover interesting patterns ... which is called Tree-Based Association Rule mining (TBAR), redefines the notion of item...
  • Minebench

  • Referenced in 9 articles [sw09611]
  • such as clustering, classification, and association rule mining. We believe that MineBench will...
  • ARVis

  • Referenced in 8 articles [sw06648]
  • enormous amounts of rules that can be produced by data mining algorithms, knowledge post-processing ... means of a specific constraint-based rule-mining algorithm...
  • PROXIMUS

  • Referenced in 9 articles [sw04989]
  • application in many areas, including association rule mining, DNA microarray analysis, and business analytics...
  • CorClass

  • Referenced in 5 articles [sw01932]
  • CorClass: Correlated association rule mining for classification. A novel algorithm, CorClass, that integrates association rule ... mining with classification, is presented. It first discovers all correlated association rules (adapting a technique...
  • FARMER

  • Referenced in 4 articles [sw26987]
  • such datasets. However, most existing association rule mining algorithms are unable to efficiently handle datasets ... columns. Moreover, the number of association rules generated from such datasets is enormous ... same set of rows. Unlike conventional rule mining algorithms, FARMER searches for interesting rules ... magnitude faster than previous association rule mining algorithms...
  • RSBR_

  • Referenced in 18 articles [sw02934]
  • Boolean Reasoning (RSBR) respectively, for mining if-then rules in a meningitis dataset...
  • TCOM

  • Referenced in 4 articles [sw02744]
  • association rules among infrequent items. Association rule mining is one of the most important areas ... attention. The purpose of association rule mining is the discovery of association relationships or correlations ... efficient way to find the valid association rules among the infrequent items, which is seldom ... itemsets and valid association rules will be mined based on TCOM, which combines the advantages...
  • NeNMF

  • Referenced in 30 articles [sw17586]
  • vision, and data mining. Traditional NMF solvers include the multiplicative update rule (MUR), the projected...
  • QuantMiner

  • Referenced in 6 articles [sw14434]
  • QuantMiner for mining quantitative association rules. In this paper, we propose QuantMiner, a mining quantitative ... that dynamically discovers “good” intervals in association rules by optimizing both the support ... QuantMiner as an interactive, exploratory data mining tool...
  • MEPAR

  • Referenced in 5 articles [sw02846]
  • miner: Multi-expression programming for classification rule mining...
  • RP-Tree

  • Referenced in 3 articles [sw18882]
  • rare pattern tree mining. Most association rule mining techniques concentrate on finding frequent rules. However ... current algorithms for rare association rule mining use an Apriori level-wise approach which ... Tree, a method for mining a subset of rare association rules using a tree structure...
  • Summary SQL

  • Referenced in 22 articles [sw12423]
  • data mining. We show how it can be used to search for fuzzy rules...
  • FOIL-D

  • Referenced in 3 articles [sw02584]
  • mining of large datasets. Multi-relational rule mining is important for knowledge discovery in relational ... variety of multi-relational rule mining tasks, however, most ILP systems do not scale ... computational cost of learning a set of rules. We present experimental results that indicate that...
  • SARM

  • Referenced in 4 articles [sw02674]
  • SARM -- succinct association rule mining: An approach to enhance association mining...
  • MOSSFARM

  • Referenced in 2 articles [sw02750]
  • model structure selection by fuzzy association rule mining Effective methods for feature and model structure ... very important for data-driven modeling, data mining, and system identification tasks. This paper presents ... proposed method applies fuzzy association rule mining. The selection process of the important variables ... interesting measures of the mined association rules...
  • FRAPP

  • Referenced in 3 articles [sw08861]
  • with regard to association and classification rule mining on a variety of real datasets...