• gSpan

  • Referenced in 108 articles [sw11908]
  • gSpan: graph-based substructure pattern mining. We investigate new approaches for frequent graph-based pattern ... algorithm called gSpan (graph-based substructure pattern mining), which discovers frequent substructures without candidate generation...
  • PrefixSpan

  • Referenced in 79 articles [sw20761]
  • prefix-projected pattern growth. Sequential pattern mining is an important data mining problem with broad ... Most of the previously developed sequential pattern mining methods follow the methodology of Apriori which ... paper, we propose a novel sequential pattern mining method, called PrefixSpan (i.e., Prefix-projected Sequential ... pattern mining), which explores prefix-projection in sequential pattern mining. PrefixSpan mines the complete...
  • CMAR

  • Referenced in 48 articles [sw28406]
  • still suffers from the huge set of mined rules and sometimes biased classification or overfitting ... method extends an efficient frequent pattern mining method, FP-growth, constructs a class distribution-associated...
  • Krimp

  • Referenced in 16 articles [sw28422]
  • major problems in pattern mining is the explosion of the number of results. Tight constraints ... explosion in the number of returned patterns. This is caused by large groups of patterns...
  • CLOSET

  • Referenced in 50 articles [sw26986]
  • applying a compressed, frequent pattern tree FP-tree structure for mining closed itemsets without candidate...
  • SPMF

  • Referenced in 11 articles [sw11999]
  • SPMF: a Java open-source pattern mining library. We present SPMF, an open-source data ... mining algorithms. SPMF is a cross-platform library implemented in Java, specialized for discovering patterns...
  • Carpenter

  • Referenced in 6 articles [sw26985]
  • magnitude better than previous closed pattern mining algorithms like CLOSET and CHARM...
  • VIKAMINE

  • Referenced in 4 articles [sw21460]
  • VIKAMINE -- open-source subgroup discovery, pattern mining, and analytics. This paper presents an overview ... VIKAMINE system for subgroup discovery, pattern mining and analytics. As of VIKAMINE version...
  • CompLearn

  • Referenced in 5 articles [sw10681]
  • used is powerful because it can mine patterns in completely different domains. It can classify...
  • See5

  • Referenced in 8 articles [sw12178]
  • See5 and C5.0: Data mining is all about extracting patterns from an organization’s stored ... situations as an aid to decision-making. Patterns often concern the categories to which situations ... counterpart C5.0 are sophisticated data mining tools for discovering patterns that delineate categories, assembling them...
  • PlanMine

  • Referenced in 9 articles [sw01592]
  • paper presents the PlanMine sequence mining algorithm to extract patterns of events that predict failures ... mining algorithms were overwhelmed by the staggering number of very frequent, but entirely unpredictive patterns...
  • SPADE

  • Referenced in 87 articles [sw02226]
  • algorithm for fast discovery of Sequential Patterns. The existing solutions to this problem make repeated ... discuss how the results of sequence mining can be applied in a real application domain...
  • COBBLER

  • Referenced in 3 articles [sw26973]
  • Pattern Discovery. The problem of mining frequent closed patterns has receivedconsiderable attention recently ... much lessredundancy compared to discovering all frequent patterns. Existingalgorithms can presently be separated into ... algorithm called COBBLERwhich can efficiently mine such datasets . COBBLER isdesigned to dynamically switch between feature ... order of magnitudebetter than previous closed pattern mining algorithmslike CHARM, CLOSET+ and CARPENTER...
  • DynaMine

  • Referenced in 4 articles [sw33951]
  • DynaMine: finding common error patterns by mining software revision histories. A great deal of attention ... application-specific coding patterns. Potential patterns discovered through mining are passed to a dynamic analysis ... user.The combination of revision history mining and dynamic analysis techniques leveraged in DynaMine proves effective ... mining revision histories, we have discovered 56 previously unknown, highly application-specific patterns...
  • iZi

  • Referenced in 2 articles [sw10113]
  • toolkit for pattern mining problems. Pattern mining problems are useful in many applications...
  • stream

  • Referenced in 2 articles [sw23392]
  • streams include clustering, classification and frequent pattern mining. New algorithms for these types of data ... mining tasks like classification and frequent pattern mining...
  • BicPAM

  • Referenced in 3 articles [sw26972]
  • Contrasting, recent biclustering approaches relying on pattern mining methods can exhaustively discover flexible structures...
  • BicSPAM

  • Referenced in 3 articles [sw29972]
  • assumptions. Additionally, biclustering approaches relying on pattern mining output deliver exhaustive solutions with an arbitrary ... noise-tolerant biclustering based on sequential patterns (BicSPAM). Strategies are proposed to allow for symmetries...
  • DMTL

  • Referenced in 4 articles [sw00213]
  • data structures for mining increasingly complex and informative patterns types such as: Itemsets, Sequences, Trees ... properties. The kind of pattern to be mined, the kind of mining approach...
  • arules

  • Referenced in 18 articles [sw07327]
  • package arules: Mining Association Rules and Frequent Itemsets. Provides the infrastructure for representing, manipulating ... analyzing transaction data and patterns (frequent itemsets and association rules). Also provides interfaces ... implementations of the association mining algorithms Apriori and Eclat by C. Borgelt...