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Managing knowledge in business requirements identification

Logistics Information Management, 2003
This paper reflects on experiences when traditional IT approaches were used to design large IT systems and ended in failure. The main reflections focus on the reasons for system failure and how they relate to the diversity of knowledge, managing knowledge, and the understanding gaps that may exist between the business and the system developers.
S. Alshawi, W. Al‐Karaghouli
openaire   +1 more source

A Matching Identification Problem: A Knowledge Acquisition Approach

ORSA Journal on Computing, 1995
This paper is concerned with an identification problem of a set of K out of N numbers. Two parties are involved in the identification process, the inquirer and the respondent. The set to be identified is referred to as the chosen subset and it is known only to the respondent.
Mehrez, Abraham, Steinberg, Geoffrey
openaire   +2 more sources

Knowledge-Based Identification of Multicomponent Therapies

2013
In recent years, several approaches have been proposed to improve the capacity of pharmaceutical research to support personalized care. An approach that takes advantages of the large amount of biological knowledge continuously collected in different repositories could improve the drug discovery process.
Francesca Vitali   +3 more
openaire   +1 more source

SVM-based knowledge topic identification toward the autonomous knowledge acquisition

2011 IEEE 9th International Symposium on Applied Machine Intelligence and Informatics (SAMI), 2011
One of the most serious problems that conventional knowledge management (KM) encompasses has been pointed out tardy and ineffective acquisition of knowledge. To resolve this problem, knowledge must be autonomously acquired according to its context of use by applying the technique of keyword extraction in machine learning algorithm-based text mining ...
openaire   +1 more source

Deterministic learning-based neural identification and knowledge fusion

Neural Networks
Recent deterministic learning methods have achieved locally-accurate identification of unknown system dynamics. However, the locally-accurate identification means that the neural networks can only capture the local dynamics knowledge along the system trajectory.
Weiming Wu   +5 more
openaire   +2 more sources

Integrative oncology: Addressing the global challenges of cancer prevention and treatment

Ca-A Cancer Journal for Clinicians, 2022
Jun J Mao,, Msce   +2 more
exaly  

Obesity and adverse breast cancer risk and outcome: Mechanistic insights and strategies for intervention

Ca-A Cancer Journal for Clinicians, 2017
Cynthia Morata-Tarifa   +1 more
exaly  

Multidisciplinary standards of care and recent progress in pancreatic ductal adenocarcinoma

Ca-A Cancer Journal for Clinicians, 2020
Aaron J Grossberg   +2 more
exaly  

Oral complications of cancer and cancer therapy

Ca-A Cancer Journal for Clinicians, 2012
Joel B Epstein   +2 more
exaly  

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