Intelligent business decisions by EFLOW portal

Zoltán Baracskai, Viktor Dörfler

Research output: Contribution to conferencePaper

Abstract

Bigger and faster changes in business knowledge are expected. Decision maker needs knowledge (hard data and soft information) of various expertises available at deep levels of organizational hierarchy. Experts are forced to life-long learning. It is of crucial importance to use the freshest knowledge but it is even more important to avoid the false knowledge. The keystones of internet-base knowledge increase are the personalization, the freshness and to answer the question “who to learn from”. Freshness is provided by the Internet but the other two are to be handled. The eFLOW Intelligent Portal is continuously personalized, provides space for knowledge creation, enables data mining. Its portlets have multiple interconnections and they are also connected to organiza-tional databases to get hard data and to knowledge bases to get soft information. Doctus knowledge-based expert system shell embodies the built-in artificial intelligence.
LanguageEnglish
Pages218-224
Number of pages6
Publication statusPublished - 10 Sep 2002
EventIIWAS 2002 - Bandung, Indonesia.
Duration: 10 Sep 200212 Sep 2002

Conference

ConferenceIIWAS 2002
CityBandung, Indonesia.
Period10/09/0212/09/02

Fingerprint

Soft information
Knowledge base
World Wide Web
Expertise
Interconnection
Knowledge-based
Artificial intelligence
Life long learning
Knowledge creation
Data base
Shell
Business knowledge
Personalization
Data mining
Decision maker
Expert system

Keywords

  • business decisions
  • intelligent portal
  • data mining
  • knowledge-based expert system
  • machine learning

Cite this

Baracskai, Z., & Dörfler, V. (2002). Intelligent business decisions by EFLOW portal. 218-224. Paper presented at IIWAS 2002, Bandung, Indonesia., .
Baracskai, Zoltán ; Dörfler, Viktor. / Intelligent business decisions by EFLOW portal. Paper presented at IIWAS 2002, Bandung, Indonesia., .6 p.
@conference{15794492df6d4f4ab07af154acf9c412,
title = "Intelligent business decisions by EFLOW portal",
abstract = "Bigger and faster changes in business knowledge are expected. Decision maker needs knowledge (hard data and soft information) of various expertises available at deep levels of organizational hierarchy. Experts are forced to life-long learning. It is of crucial importance to use the freshest knowledge but it is even more important to avoid the false knowledge. The keystones of internet-base knowledge increase are the personalization, the freshness and to answer the question “who to learn from”. Freshness is provided by the Internet but the other two are to be handled. The eFLOW Intelligent Portal is continuously personalized, provides space for knowledge creation, enables data mining. Its portlets have multiple interconnections and they are also connected to organiza-tional databases to get hard data and to knowledge bases to get soft information. Doctus knowledge-based expert system shell embodies the built-in artificial intelligence.",
keywords = "business decisions, intelligent portal, data mining, knowledge-based expert system, machine learning",
author = "Zolt{\'a}n Baracskai and Viktor D{\"o}rfler",
note = "Paper ID: 140; IIWAS 2002 ; Conference date: 10-09-2002 Through 12-09-2002",
year = "2002",
month = "9",
day = "10",
language = "English",
pages = "218--224",

}

Baracskai, Z & Dörfler, V 2002, 'Intelligent business decisions by EFLOW portal' Paper presented at IIWAS 2002, Bandung, Indonesia., 10/09/02 - 12/09/02, pp. 218-224.

Intelligent business decisions by EFLOW portal. / Baracskai, Zoltán; Dörfler, Viktor.

2002. 218-224 Paper presented at IIWAS 2002, Bandung, Indonesia., .

Research output: Contribution to conferencePaper

TY - CONF

T1 - Intelligent business decisions by EFLOW portal

AU - Baracskai, Zoltán

AU - Dörfler, Viktor

N1 - Paper ID: 140

PY - 2002/9/10

Y1 - 2002/9/10

N2 - Bigger and faster changes in business knowledge are expected. Decision maker needs knowledge (hard data and soft information) of various expertises available at deep levels of organizational hierarchy. Experts are forced to life-long learning. It is of crucial importance to use the freshest knowledge but it is even more important to avoid the false knowledge. The keystones of internet-base knowledge increase are the personalization, the freshness and to answer the question “who to learn from”. Freshness is provided by the Internet but the other two are to be handled. The eFLOW Intelligent Portal is continuously personalized, provides space for knowledge creation, enables data mining. Its portlets have multiple interconnections and they are also connected to organiza-tional databases to get hard data and to knowledge bases to get soft information. Doctus knowledge-based expert system shell embodies the built-in artificial intelligence.

AB - Bigger and faster changes in business knowledge are expected. Decision maker needs knowledge (hard data and soft information) of various expertises available at deep levels of organizational hierarchy. Experts are forced to life-long learning. It is of crucial importance to use the freshest knowledge but it is even more important to avoid the false knowledge. The keystones of internet-base knowledge increase are the personalization, the freshness and to answer the question “who to learn from”. Freshness is provided by the Internet but the other two are to be handled. The eFLOW Intelligent Portal is continuously personalized, provides space for knowledge creation, enables data mining. Its portlets have multiple interconnections and they are also connected to organiza-tional databases to get hard data and to knowledge bases to get soft information. Doctus knowledge-based expert system shell embodies the built-in artificial intelligence.

KW - business decisions

KW - intelligent portal

KW - data mining

KW - knowledge-based expert system

KW - machine learning

UR - http://www.iiwas.org/conferences/iiwas2002/presentation.html

M3 - Paper

SP - 218

EP - 224

ER -

Baracskai Z, Dörfler V. Intelligent business decisions by EFLOW portal. 2002. Paper presented at IIWAS 2002, Bandung, Indonesia., .