• Summary SQL

  • Referenced in 22 articles [sw12423]
  • Summary SQL — A fuzzy tool for data mining. The increasing use of computers for transactions ... mountains of data that contain potentially valuable knowledge. To search for this knowledge we have ... which can be used for knowledge discovery and data mining. We show...
  • UCR Suite

  • Referenced in 22 articles [sw28369]
  • Zakaria J, Keogh E (2012) Searching and mining trillions of time series subsequences under dynamic ... SIGKDD international conference on Knowledge discovery and data mining...
  • KDD Cup

  • Referenced in 10 articles [sw22251]
  • used for The Third International Knowledge Discovery and Data Mining Tools Competition, which was held ... Fifth International Conference on Knowledge Discovery and Data Mining. The competition task was to build...
  • Orange4WS

  • Referenced in 4 articles [sw27294]
  • highly heterogeneous data and knowledge sources. However, standard data mining platforms, such as Weka ... only their own data mining algorithms in the process of knowledge discovery from local data ... simple incorporation of relational data mining algorithms; a knowledge discovery ontology to describe workflow components ... data, knowledge and data mining services) in an abstract and machine-interpretable...
  • ARVis

  • Referenced in 8 articles [sw06648]
  • that can be produced by data mining algorithms, knowledge post-processing is a difficult stage ... discovery process. In order to find relevant knowledge for decision making, the user (a decision ... means of a specific constraint-based rule-mining algorithm...
  • CORON

  • Referenced in 7 articles [sw13526]
  • only a rich collection of data mining algorithms, but also allows a number of auxiliary ... best of our knowledge, a data mining toolkit designed specifically for itemset extraction and association ... interpreting the extracted units of knowledge...
  • arulesNBMiner

  • Referenced in 4 articles [sw07325]
  • mining associations from transaction data. Data Mining and Knowledge Discovery, 13(2):137-166, September...
  • VxInsight

  • Referenced in 2 articles [sw26293]
  • Knowledge Mining With VxInsight: Discovery Through Interaction. The explosive growth in the availability of information...
  • Krimp

  • Referenced in 19 articles [sw28422]
  • mining is the explosion of the number of results. Tight constraints reveal only common knowledge...
  • Minebench

  • Referenced in 9 articles [sw09611]
  • sizeable performance gap between data mining systems and algorithms. The first step in closing this ... With this knowledge, current computer architectures can be optimized for data mining applications. In this...
  • RegulonDB

  • Referenced in 53 articles [sw25948]
  • primary reference database offering curated knowledge of the transcriptional regulatory network of Escherichia coli ... searched with the Textpresso text mining engine...
  • PagePrompter

  • Referenced in 2 articles [sw01704]
  • intelligent web agent created using data mining techniques. Some challenges for Website designers ... agent collects information, discovers knowledge through Web mining and users’ behavior analysis, and applies ... knowledge of the system is extracted based on a combination of Web usage mining...
  • ROCK

  • Referenced in 72 articles [sw37720]
  • algorithm for categorical attributes. Clustering, in data mining, is useful to discover distribution patterns ... expert/similarity table is the only source of knowledge. In addition to presenting detailed complexity results...
  • NOEMON

  • Referenced in 11 articles [sw02384]
  • effective knowledge discovery on a dataset. For large databases, common in data mining, such ... from those measurements and accommodated in a knowledge base. The suggestion on the most appropriate...
  • clustMixType

  • Referenced in 2 articles [sw16328]
  • Data Sets with Categorical Variables, Data Mining and Knowledge Discovery...
  • DIS3GNO

  • Referenced in 1 article [sw08436]
  • data mining workflows in the knowledge grid Data mining tasks are often composed by multiple ... design and execute distributed data mining tasks over the knowledge grid, a service-oriented framework...
  • VICKEY

  • Referenced in 1 article [sw31668]
  • VICKEY: Mining Conditional Keys on Knowledge Bases. A conditional key is a key constraint that ... system that can automatically mine conditional keys on large knowledge bases (KBs). For this, VICKEY ... with techniques from rule mining. VICKEY can scale to knowledge bases of millions of facts...
  • SeqLog

  • Referenced in 13 articles [sw01946]
  • logical language, SeqLog, for mining and querying sequential data and databases is presented. In SeqLog ... sequence of logical atoms, background knowledge can be specified using Datalog style clauses and sequential ... representation language for the inductive database mining system MineSeqLog. Inductive queries in MineSeqLog take...
  • FOIL-D

  • Referenced in 3 articles [sw02584]
  • large datasets. Multi-relational rule mining is important for knowledge discovery in relational databases ... variety of multi-relational rule mining tasks, however, most ILP systems do not scale...
  • FlexiMine

  • Referenced in 2 articles [sw01735]
  • testbed for data-mining research, as well as a generic knowledge discovery tool for varied ... extensibility, thus enabling integration of existing data-mining algorithms, new locally developed algorithms, and utility ... data-mining algorithms (Association rules, Decision trees, Bayesian knowledge-bases and Meta-queries...