• CLOSET

  • Referenced in 50 articles [sw26986]
  • logarithm for mining frequent closed itemsets. Association mining may often derive an undesirably large ... itemsets and association rules. Recent studies have proposed an interesting alternative: mining frequent closed itemsets ... which has the same power as association mining but substantially reduces the number of rules...
  • CMAR

  • Referenced in 48 articles [sw28406]
  • class-association rules. Previous studies propose that associative classification has high classification accuracy and strong ... Multiple Association Rules. The method extends an efficient frequent pattern mining method ... growth, constructs a class distribution-associated FP-tree, and mines large databases efficiently. Moreover ... tree structure to store and retrieve mined association rules efficiently, and prunes rules effectively based...
  • arules

  • Referenced in 18 articles [sw07327]
  • package arules: Mining Association Rules and Frequent Itemsets. Provides the infrastructure for representing, manipulating ... interfaces to C implementations of the association mining algorithms Apriori and Eclat by C. Borgelt...
  • 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 ... algorithm, which is called Tree-Based Association Rule mining (TBAR), redefines the notion of item...
  • QuantMiner

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

  • Referenced in 4 articles [sw02744]
  • TCOM, an innovative data structure for mining association rules among infrequent items. Association rule mining ... deal of attention. The purpose of association rule mining is the discovery of association relationships ... itemsets and valid association rules will be mined based on TCOM, which combines the advantages...
  • Minebench

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

  • Referenced in 4 articles [sw02674]
  • rule mining: An approach to enhance association mining...
  • 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...
  • PROXIMUS

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

  • Referenced in 59 articles [sw17292]
  • condense a list of genes or associated biological terms into organized classes of related genes ... biological modules. This organization is accomplished by mining the complex biological co-occurrences found...
  • arulesNBMiner

  • Referenced in 4 articles [sw07325]
  • model-based frequency constraint for mining associations from transaction data. Data Mining and Knowledge Discovery...
  • RP-Tree

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

  • Referenced in 4 articles [sw26987]
  • analyzing such datasets. However, most existing association rule mining algorithms are unable to efficiently handle ... number of columns. Moreover, the number of association rules generated from such datasets is enormous ... from microarray datasets. Instead of finding individual association rules, FARMER finds interesting rule groups which ... orders of magnitude faster than previous association rule mining algorithms...
  • RegulonDB

  • Referenced in 51 articles [sw25948]
  • overviews of correlations about gene regulation. RegulonDB associated original literature, together with more than ... searched with the Textpresso text mining engine...
  • GAMInG

  • Referenced in 2 articles [sw01417]
  • GAMInG -- a framework for generalization of association mining via information granulation Rather than finding ... association-mining types one at a time, in this paper, we propose a framework, which ... called Generalization of Association Mining via Information Granulation (GAMInG), based on which new association-mining...
  • MOSSFARM

  • Referenced in 2 articles [sw02750]
  • MOSSFARM: model structure selection by fuzzy association rule mining Effective methods for feature and model ... very important for data-driven modeling, data mining, and system identification tasks. This paper presents ... outputs. The proposed method applies fuzzy association rule mining. The selection process of the important ... interesting measures of the mined association rules...
  • 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 ... MECR-tree data structure for mining class-association rules. Some theorems for fast joining itemsets ... developed. An efficient algorithm for mining class-association rules based on the MECR-tree...
  • ARVis

  • Referenced in 8 articles [sw06648]
  • Interactive visual exploration of association rules with rule-focusing methodology. On account of the enormous ... data mining algorithms, knowledge post-processing is a difficult stage in an association rule discovery ... methodology for the visual post-processing of association rules. It allows the user to explore ... means of a specific constraint-based rule-mining algorithm...
  • PYTHIA

  • Referenced in 29 articles [sw00747]
  • database schemas for testing suites and associated performance data in order to test sets ... allows easy interfacing of alternative data mining and recommendation facilities. PYTHIA-II is an open...