• NeNMF

  • Referenced in 34 articles [sw17586]
  • widely applied to signal processing, computer vision, and data mining. Traditional NMF solvers include...
  • KEEL

  • Referenced in 153 articles [sw06791]
  • tool to assess evolutionary algorithms for Data Mining problems of various kinds including as regression ... evolutionary learning techniques with different pre-processing techniques, allowing it to perform a complete analysis...
  • SPADE

  • Referenced in 89 articles [sw02226]
  • order of magnitude with some pre-processed data. It also has linear scalability with respect ... discuss how the results of sequence mining can be applied in a real application domain...
  • Orange4WS

  • Referenced in 4 articles [sw27294]
  • process of knowledge discovery from local data sources. In contrast, next generation data mining technologies ... should enable processing of distributed data sources, the use of data mining algorithms implemented...
  • Tuffy

  • Referenced in 13 articles [sw28901]
  • entity resolution, text mining, and natural language processing. Based on principled data management techniques, Tuffy...
  • FRAPP

  • Referenced in 3 articles [sw08861]
  • preserve client privacy in the data mining process, a variety of techniques based on random ... design of perturbation mechanisms for privacy-preserving mining. Specifically, FRAPP is used to demonstrate that...
  • ROSETTA

  • Referenced in 24 articles [sw10969]
  • creation of objects related to the KDD process. Jointly, the kernel and the front ... effectively and easily conduct KD and data mining experiments within the framework of rough ... providing tools and programming environments for process-oriented synthesis of logic programs...
  • PrefixSpan

  • Referenced in 85 articles [sw20761]
  • Sequential pattern mining is an important data mining problem with broad applications. It is challenging ... Most of the previously developed sequential pattern mining methods follow the methodology of Apriori which ... mined are numerous and/or long. In this paper, we propose a novel sequential pattern mining ... Sequential pattern mining), which explores prefix-projection in sequential pattern mining. PrefixSpan mines the complete...
  • ARVis

  • Referenced in 8 articles [sw06648]
  • produced by data mining algorithms, knowledge post-processing is a difficult stage in an association ... user (a decision maker specialized in the data studied) needs to rummage through the rules ... interactive methodology for the visual post-processing of association rules. It allows the user ... means of a specific constraint-based rule-mining algorithm...
  • Karypis-Lab

  • Referenced in 2 articles [sw06327]
  • problems in the areas of parallel processing, data mining, bioinformatics, and collaborative filtering...
  • RapidProM

  • Referenced in 2 articles [sw25957]
  • RapidProM: Mine Your Processes and Not Just Your Data. The number of events recorded ... efficiency, and customer service. Process mining helps to turn these data into real value ... people, etc. Process mining is very different from conventional data mining and machine learning techniques ... other data sets. Moreover, using RapidProM, one can benefit from combinations of process mining with...
  • stream

  • Referenced in 3 articles [sw23392]
  • typically non-stationary data generating process. Common data mining tasks associated with data streams include...
  • FlexibleQL

  • Referenced in 1 article [sw02014]
  • rules and mining other patterns of data mining, such as classification and clustering, the complete ... Post-processing of the discovered patterns for later use and preprocessing of the data ... select and configure their desired data mining process. Furthermore, FlexibleQL is extensible and the administrator ... performance of the mining process. Also FlexibleQL saves the results of data mining in special...
  • MiningZinc

  • Referenced in 4 articles [sw19070]
  • algorithms to run. Optimized data mining algorithms, specialized processing routines and generic solvers...
  • OntoSDM

  • Referenced in 1 article [sw11233]
  • presents an approach that enhances spatial data mining process, so they can use the semantic ... developed, OntoSDM, which enables spatial data mining algorithms to communicate with ontologies in order...
  • GN IDE

  • Referenced in 1 article [sw18514]
  • tool for modeling Data Mining process is presented...
  • frbs

  • Referenced in 2 articles [sw24181]
  • control, prediction and inference, data mining, bioinformatics data processing, and robotics. FRBSs are also known ... fuzzy IF-THEN rules automatically from numerical data, covering both steps. Approaches that have been ... standard for describing models produced by data mining and machine learning algorithms. Therefore...
  • TCOM

  • Referenced in 4 articles [sw02744]
  • other researchers. We design a new data structure, called Transactional Co-Occurrence Matrix, in short ... itemsets and valid association rules will be mined based on TCOM, which combines the advantages ... significantly improves the efficiency of the mining processes...
  • COBBLER

  • Referenced in 3 articles [sw26973]
  • algorithm called COBBLERwhich can efficiently mine such datasets . COBBLER isdesigned to dynamically switch between feature ... enumeration depending on the data characteristic inthe process of mining. As such, each portion...
  • RSBR_

  • Referenced in 19 articles [sw02934]
  • Meningitis data mining by cooperatively using GDT-RS and RSBR. This paper describes an application ... Sets with Boolean Reasoning (RSBR) respectively, for mining if-then rules in a meningitis dataset ... real valued attributes as a pre-processing step realized before the GDT-RS starts...