Results 211 to 220 of about 7,645,878 (307)
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Decision Table

101 Management Models, 2019
Decision Table The goal of the Gait Analysis Improvement Team project is to design and develop an improved method to obtain quantitative measurements of the forces transmitted through below-knee prostheses.
Marijn Mulders
openaire   +2 more sources

On the evaluation of the decision performance of an incomplete decision table

Data & Knowledge Engineering, 2008
As two classical measures, approximation accuracy and consistency degree can be extended for evaluating the decision performance of an incomplete decision table. However, when the values of these two measures are equal to zero, they cannot give elaborate depictions of the certainty and consistency of an incomplete decision table.
Yuhua Qian   +4 more
openaire   +3 more sources

Visualizing decision table classifiers

Proceedings IEEE Symposium on Information Visualization (Cat. No.98TB100258), 2002
Decision tables, like decision trees or neural nets, are classification models used for prediction. They are induced by machine learning algorithms. A decision table consists of a hierarchical table in which each entry in a higher level table gets broken down by the values of a pair of additional attributes to form another table.
Barry G. Becker
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Fusing wearable and remote sensing data streams by fast incremental learning with swarm decision table for human activity recognition

Information Fusion, 2020
Human activity recognition (HAR) by machine learning finds wide applications ranging from posture monitoring for healthcare and rehabilitation to suspicious or dangerous actions detection for security surveillance.
Tengyue Li   +5 more
semanticscholar   +1 more source

Decision Tables

Journal of Travel & Tourism Marketing, 2007
This article discusses an alternative approach in analyzing and modelling consumer decision processes: decision tables. Decision tables represent means of formalizing choice rules or heuristics. The focus of this approach thus is not on quantitative, probabilistic relationships between a set of explanatory variables and choice probabilities but on a ...
Middelkoop, van, M.   +3 more
openaire   +1 more source

A Hybrid Predictive Model Integrating C4.5 and Decision Table Classifiers for Medical Data Sets

Journal of Information Technology Research, 2018
This article describes how, recently, data mining has been in great use for extracting meaningful patterns from medical domain data sets, and these patterns are then applied for clinical diagnosis. Truly, any accurate, precise and reliable classification
Amit Kumar, Bikash Kanti Sarkar
semanticscholar   +1 more source

Decision Tables and logic in Decision Analysis

Medical Decision Making, 1986
Unmanageably bushy decision trees result when a decision analysis involves several in vestigations. They can be simplified for riskless tests by deriving the maximum expected utility decision table for the problem as an intermediate step. This table can be logically summarized as Boolean expressions involving the tests.
Glasziou, Paul, Hilden, Jörgen
openaire   +4 more sources

Semantic Decision Tables: Self-organizing and Reorganizable Decision Tables

2008
A Semantic Decision Table (SDT) provides a means to captureand examinedecision makers' concepts, as well as a tool for refiningtheir decision knowledge and facilitating knowledgesharingin a scalablemanner. One challenge SDT faces is to organize decision resources represented in a tabular format based on the user's needs at different levels.
Yan Tang   +2 more
openaire   +3 more sources

Decision tables

Software: Practice and Experience, 1983
AbstractDecision tables have been known for almost 20 years but there are still data processing shops where systems analysts and programmers have not used them at all. That is why it is felt important to re‐open their case once again and publicize experience with their use, as well as more recent developments and expected future trends.
openaire   +1 more source

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