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61 547 (0,133s)

Result

Spotlighting Anomalies using Frequent Patterns

Main topics of the document: data mining; anomaly; frequent pattern...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2018
  • D
  • Link
Result

First-order Frequent Patterns in Text Mining

and morphological disambiguation of Czech. The distributed mining of frequent patternsIn this paper a universal framework for mining long first-order frequent patterns in text data is presented. ...

IN - Informatika

  • 2005
  • D
Result

Mining Frequent Patterns in Object-Relational Databases

In present time there are many applications where frequent patterns are mined and don't allow to mine in different kind of data. In this paper we present a general method for mining frequent p...

BD - Teorie informace

  • 2002
  • D
Result

dRAP: Distributed mining first-order maximal frequent patterns

Frequent pattern discovery is one of basic tasks in knowledge discovery in databases. In this paper we describe dRAP-Independent, algorithm for independent distributed maximal frequent patterns mining in f...

IN - Informatika

  • 2005
  • D
Result

An Efficient Parallel Method for Mining Frequent Closed Sequential Patterns

Mining frequent closed sequential pattern (FCSPs) has attracted a great deal, many studies have focused on mining frequent closed sequential patterns because, such patterns have proved to...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2017
  • Jimp
  • Link
Result

EasyMiner - Short History of Research and Current Development

Main topics of the document: EasyMiner; association rules; data mining; classification models; outlier detection; frequent pattern mining......

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2017
  • D
  • Link
Result

Mining First-Order Frequent Patterns in e-Commerce Data

are then mined with RAP, a tool for mining first-order frequent patterns. This framework has been successfully used for mining in real e-commerce data.This paper presents the first application of first-or...

IN - Informatika

  • 2007
  • D
Result

dRAP: A Framework for Distributed Mining Firts-Order Frequent Patterns

In this paper dRAP, a framework for distributed mining first-order frequent patterns is presented. It extends the RAP system for running on parallel shared-nothing architecture. It utilizes several well-known methods for pa...

IN - Informatika

  • 2006
  • D
Result

A novel approach for mining closed clickstream patterns

frequent k-pattern and mines the remaining frequently closed k-patterns. The proposedClosed sequential pattern (CSP) mining is an optimization technique in sequential pattern

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2021
  • Jimp
  • Link
Result

RAP: Framework for Mining Frequent Datalog Patterns

We describe a new any-time algorithm RAP for finding maximal frequent patterns in first-order logic.

JD - Využití počítačů, robotika a její aplikace

  • 2002
  • D
  • 1 - 10 out of 61 547