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522 207 (0,555s)

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Mining Knowledge from Educational Data

and their learning habits. However, such knowledge is hidden and their extraction is not trivial. Knowledge discovery from databases (also known as Data Mining) is a methodology for extraction of...

AM - Pedagogika a školství

  • 2009
  • D
Result

An Extension of the Method for Fuzzy Rules Extraction by Means of Artificial Neural Networks

Knowledge extraction from data in the form of rules is a widespread di- rection in data mining area, which allows to obtain interesting relationships in data from architecture allows to <...

IN - Informatika

  • 2013
  • D
  • Link
Result

Adding background knowledge to formal concept analysis via attribute dependency formulas

knowledge are extracted from data. As a result, the number of extracted clusters becomes extraction of clusters from the input data more focused by taking into accountWe present...

BD - Teorie informace

  • 2008
  • D
Result

Measures for Comparing Rules Extracted from Data

This article deals with different measures for comparing rules extracted from data. At the beginning, the significance of rules as a type of structured knowledge is demonstrated. Then, the necessity of measures com...

IN - Informatika

  • 2006
  • D
Result

Towards Budget Comparative Analysis: The Need for Fiscal Code Lists as Linked Data

Main topics of the document: linked data; SKOS; knowledge extraction...

IN - Informatika

  • 2016
  • D
  • Link
Result

Machine Learning?Based Knowledge Extraction from Complex Clinical Oncological Data

The article describes some bio?informatics problems and results achieved by application of selected machine?learning tools to extracting knowledge from relatively difficult clinical oncological data. The structure ...

IN - Informatika

  • 2006
  • D
Result

Financial Causality Extraction Based on Universal Dependencies and Clue Expressions

"This paper proposes a method to extract financial causal knowledge from bi-lingual text data. Domain-specific causal knowledge plays an important role in human relative to global activities must be ex...

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

  • 2023
  • JSC
  • Link
Result

LISp-Miner: system for knowledge extraction from data

Basic themes of document: knowledge discovery in databases; association rules; decision rules...

IN - Informatika

  • 2007
  • D
Result

Data Extraction Using NLP Techniques and Its Transformation to Linked Data

We present a system that extracts a knowledge base from raw unstructured texts framework. The extraction pipeline processes input texts by linguistically-aware tools and extracts entities and relations

IN - Informatika

  • 2014
  • D
Result

Two Ways of using Artifiial Neural Networks in Knowledge Discovery from Chemical Materials Data

awareness of the difference between the numeric nature of knowledge obtained from data by neural network regression, and the symbolic nature of knowledge obtained by someIn the application area of chemical materia...

IN - Informatika

  • 2010
  • D
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