• Orange4WS

  • Referenced in 4 articles [sw27294]
  • data mining workflow; simple incorporation of relational data mining algorithms; a knowledge discovery ontology...
  • FOIL-D

  • Referenced in 3 articles [sw02584]
  • Efficiently scaling FOIL for multi-relational data mining of large datasets. Multi-relational rule mining ... variety of multi-relational rule mining tasks, however, most ILP systems do not scale ... relational database management system. This enables FOIL to run on data sets that previously...
  • ROSETTA

  • Referenced in 22 articles [sw10969]
  • enables interactive manipulation and creation of objects related to the KDD process. Jointly, the kernel ... effectively and easily conduct KD and data mining experiments within the framework of rough ... aspects, the work on ROSETTA is related to our previous research on providing tools...
  • MOA

  • Referenced in 37 articles [sw11966]
  • most popular open source framework for data stream mining, with a very active growing community ... recommender systems) and tools for evaluation. Related to the WEKA project, MOA is also written...
  • PolyFARM

  • Referenced in 3 articles [sw13685]
  • application (PolyFARM) for distributed data mining in relational bioinformatics data, written in the lazy functional ... solve, the reasons we chose Haskell and relate our experiences. Laziness did cause many problems ... clear expression of algorithms, good support for data structures, abstraction, modularity and generalisation leading ... Haskell community. PolyFARM is currently in use mining data from the Saccharomyces cerevisiae genome...
  • MineLib

  • Referenced in 14 articles [sw07469]
  • corresponding data sets. We describe some representative open pit mining problems, briefly mention related literature ... directions for use of this newly established mining library. The library serves not only ... suggestion of standard expressions of and available data for open pit mining problems, but also...
  • NetSDM

  • Referenced in 1 article [sw28408]
  • mining (SDM) is a form of relational data mining that uses annotated data together with ... long run times even when applied to relatively small data sets. This paper proposes...
  • CP-miner

  • Referenced in 10 articles [sw09179]
  • related bugs. In this paper we propose a tool, CP-Miner, that uses data mining ... including operating systems, and detects copy-paste related bugs. Specifically, it takes less than...
  • Ontograte

  • Referenced in 1 article [sw00651]
  • which leverages object reconciliation and multi-relational data mining techniques; (iii) we developed an inference ... which can translate queries and answers between relational databases and the Semantic Web. The testing ... domains show that the large amount of data in relational databases can be directly utilized...
  • GigaTensor

  • Referenced in 6 articles [sw23741]
  • conference-author-keyword relations. Tensor decomposition is an important data mining tool with various applications...
  • JUNG

  • Referenced in 11 articles [sw12112]
  • metadata attached to each entity and relation. The current distribution of JUNG includes implementations ... number of algorithms from graph theory, data mining, and social network analysis, such as routines ... tools for the interactive exploration of network data. Users can use one of the layout ... easier for those who work with relational data to make use of one anothers’ development...
  • DMtools

  • Referenced in 2 articles [sw07033]
  • handling common tasks in data mining. Using either a relational database or flat files ... user a uniform view of a data collection. Two core features of the toolbox ... number of routines for basic data mining tasks on top of which the user...
  • CrossMine

  • Referenced in 15 articles [sw01967]
  • data relations. It is usually difficult to convert multiple relations into a single flat relation ... without either introducing huge “universal relation” or losing essential information. Previous works using Inductive Logic ... Programming approaches (recently also known as Relational Mining) have proven effective with high accuracy...
  • iZi

  • Referenced in 2 articles [sw10113]
  • aware of low-level code, customized data structures and algorithms being available for free ... several problems such as itemset mining, constraint mining in relational databases and query rewriting...
  • RainForest

  • Referenced in 17 articles [sw20993]
  • large datasets is an important data mining problem. Many classification algorithms have been proposed ... values in a column of the input relation. Given current main memory costs, this requirement...
  • TBAR

  • Referenced in 7 articles [sw02237]
  • relational databases. Our algorithm, which is called Tree-Based Association Rule mining (TBAR), redefines ... item and employs an effective tree data structure. It can also use techniques such...
  • DMTL

  • Referenced in 4 articles [sw00213]
  • kind of data types and formats to mine over are all specified as a list ... test examples, extensive documentation as well as related papers...
  • Wikipedia Miner

  • Referenced in 10 articles [sw27331]
  • open-source toolkit for mining Wikipedia. The online encyclopedia Wikipedia is a vast, constantly evolving ... giant multilingual database of concepts and semantic relations, a potential resource for natural language processing ... platform for sharing data mining techniques...
  • Snowball

  • Referenced in 8 articles [sw18567]
  • extracting relations from large plain-text collections. Text documents often contain valuable structured data that ... hidden Yin regular English sentences. This data is best exploited infavailable as arelational table that ... answering precise queries or running data mining tasks.We explore a technique for extracting such tables...
  • RapidProM

  • Referenced in 1 article [sw25957]
  • RapidProM: Mine Your Processes and Not Just Your Data. The number of events recorded ... related to compliance, efficiency, and customer service. Process mining helps to turn these data into...