Towards MKDA: A Knowledge Discovery Assistant For Researches in Medicine

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Abstract

Nowadays doctors are generating a huge amount of raw data. These data, analyzed with data mining techniques, could be sources of new knowledge. Unluckily such tasks need skilled data analysts, and not so much researchers in Medicine are also data mining experts. In this paper we present a web based system for knowledge discovery assistance in Medicine able to advice a medical researcher in this kind of tasks. The user must define only the experiment specifications in a formal language we have defined. The system GUI helps users in their composition. Then the system plans a Knowledge Discovery Process (KDP) on the basis of rules in a knowledge base. Finally the system executes the KDP and produces a model as result. The system works through the co-operation of different web services specialized in different tasks. The system is still under development.
Lingua originaleEnglish
pagine (da-a)773-780
Numero di pagine8
RivistaLECTURE NOTES IN COMPUTER SCIENCE
Volume4733
Stato di pubblicazionePublished - 2007

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Knowledge Discovery
Medicine
Data mining
Data Mining
Web-based System
Formal languages
Formal Languages
Graphical user interfaces
Knowledge Base
Web services
Web Services
Specification
Specifications
Chemical analysis
Experiment
Experiments

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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title = "Towards MKDA: A Knowledge Discovery Assistant For Researches in Medicine",
abstract = "Nowadays doctors are generating a huge amount of raw data. These data, analyzed with data mining techniques, could be sources of new knowledge. Unluckily such tasks need skilled data analysts, and not so much researchers in Medicine are also data mining experts. In this paper we present a web based system for knowledge discovery assistance in Medicine able to advice a medical researcher in this kind of tasks. The user must define only the experiment specifications in a formal language we have defined. The system GUI helps users in their composition. Then the system plans a Knowledge Discovery Process (KDP) on the basis of rules in a knowledge base. Finally the system executes the KDP and produces a model as result. The system works through the co-operation of different web services specialized in different tasks. The system is still under development.",
author = "Edoardo Ardizzone and Daniele Peri and Roberto Pirrone and Giuseppe Russo and Vincenzo Cannella",
year = "2007",
language = "English",
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journal = "LECTURE NOTES IN COMPUTER SCIENCE",
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T1 - Towards MKDA: A Knowledge Discovery Assistant For Researches in Medicine

AU - Ardizzone, Edoardo

AU - Peri, Daniele

AU - Pirrone, Roberto

AU - Russo, Giuseppe

AU - Cannella, Vincenzo

PY - 2007

Y1 - 2007

N2 - Nowadays doctors are generating a huge amount of raw data. These data, analyzed with data mining techniques, could be sources of new knowledge. Unluckily such tasks need skilled data analysts, and not so much researchers in Medicine are also data mining experts. In this paper we present a web based system for knowledge discovery assistance in Medicine able to advice a medical researcher in this kind of tasks. The user must define only the experiment specifications in a formal language we have defined. The system GUI helps users in their composition. Then the system plans a Knowledge Discovery Process (KDP) on the basis of rules in a knowledge base. Finally the system executes the KDP and produces a model as result. The system works through the co-operation of different web services specialized in different tasks. The system is still under development.

AB - Nowadays doctors are generating a huge amount of raw data. These data, analyzed with data mining techniques, could be sources of new knowledge. Unluckily such tasks need skilled data analysts, and not so much researchers in Medicine are also data mining experts. In this paper we present a web based system for knowledge discovery assistance in Medicine able to advice a medical researcher in this kind of tasks. The user must define only the experiment specifications in a formal language we have defined. The system GUI helps users in their composition. Then the system plans a Knowledge Discovery Process (KDP) on the basis of rules in a knowledge base. Finally the system executes the KDP and produces a model as result. The system works through the co-operation of different web services specialized in different tasks. The system is still under development.

UR - http://hdl.handle.net/10447/7858

UR - https://dl.acm.org/citation.cfm?id=1422135

M3 - Article

VL - 4733

SP - 773

EP - 780

JO - LECTURE NOTES IN COMPUTER SCIENCE

JF - LECTURE NOTES IN COMPUTER SCIENCE

SN - 0302-9743

ER -