Studying Online and Offline Evaluation Measures: A Case Study Based on the NTCIR-14 OpenLiveQ-2 Task

2019 ◽  
pp. 70-82
Author(s):  
Piyush Arora ◽  
Gareth J. F. Jones
Keyword(s):  
Evaluation Measures

Warehouse Financing Risk Analysis and Measurement with Case Study in Carbon Trading

2013 ◽  
pp. 1064-1088
Author(s):  
Ying Yin ◽  
ZongWei Luo
Keyword(s):  
Risk Analysis ◽  
Reference Model ◽  
Carbon Trading ◽  
Working Mechanism ◽  
Evaluation Measures ◽  
Logistics Service ◽  
Logistics Service Provider ◽  
Financing Risk ◽  
Risk Framework

Warehouse financing has been emerged as one of the most effective financing approaches for small and medium-sized enterprises (SME). Its basic working mechanism is to transfer the company’s assets to collaterals which are more acceptable by the bank. As a logistics service provider, the 3rd Party Logistics (3PL) coordinates and controls the whole financing process. With the professional 3PL’s help, it is easier for SMEs to get loan from the bank. In the meantime, the 3PL’s profit margin has also been increased by providing financing service in addition to their traditional logistics based functions. This chapter explains the basic working mechanism of warehouse financing, applies SCOR reference model to identify financing activities and the risks caused by them. Then this chapter synthesizes four relevant risk analysis / management frameworks from previous literatures, and proposes a new risk framework and evaluation measures aimed specifically for warehouse financing. Finally, a case of carbon trading in China is studied using the previous framework.

Warehouse Financing Risk Analysis and Measurement with Case Study in Carbon Trading

2011 ◽  
pp. 132-156
Author(s):  
Ying Yin ◽  
ZongWei Luo
Keyword(s):  
Risk Analysis ◽  
Reference Model ◽  
Carbon Trading ◽  
Working Mechanism ◽  
Evaluation Measures ◽  
Logistics Service ◽  
Logistics Service Provider ◽  
Financing Risk ◽  
Risk Framework

Warehouse financing has been emerged as one of the most effective financing approaches for small and medium-sized enterprises (SME). Its basic working mechanism is to transfer the company’s assets to collaterals which are more acceptable by the bank. As a logistics service provider, the 3rd Party Logistics (3PL) coordinates and controls the whole financing process. With the professional 3PL’s help, it is easier for SMEs to get loan from the bank. In the meantime, the 3PL’s profit margin has also been increased by providing financing service in addition to their traditional logistics based functions. This chapter explains the basic working mechanism of warehouse financing, applies SCOR reference model to identify financing activities and the risks caused by them. Then this chapter synthesizes four relevant risk analysis / management frameworks from previous literatures, and proposes a new risk framework and evaluation measures aimed specifically for warehouse financing. Finally, a case of carbon trading in China is studied using the previous framework.

Combining Data-Driven and User-Driven Evaluation Measures to Identify Interesting Rules

2009 ◽  
pp. 38-55 ◽  
Author(s):  
Solange Oliveira Rezende ◽  
Edson Augusto Melanda ◽  
Magaly Lika Fujimoto ◽  
Roberta Akemi Sinoara ◽  
Veronica Oliveira de Carvalho
Keyword(s):  
Data Mining ◽  
Data Driven ◽  
Objective Measures ◽  
Post Processing ◽  
Rule Mining ◽  
Evaluation Measures ◽  
Combining Data ◽  
Pros And Cons ◽  
The Subject

Association rule mining is a data mining task that is applied in several real problems. However, due to the huge number of association rules that can be generated, the knowledge post-processing phase becomes very complex and challenging. There are several evaluation measures that can be used in this phase to assist users in finding interesting rules. These measures, which can be divided into data-driven (or objective measures) and user-driven (or subjective measures), are first discussed and then analyzed for their pros and cons. A new methodology that combines them, aiming to use the advantages of each kind of measure and to make user’s participation easier, is presented. In this way, data-driven measures can be used to select some potentially interesting rules for the user’s evaluation. These rules and the knowledge obtained during the evaluation can be used to calculate user-driven measures, which are used to aid the user in identifying interesting rules. In order to identify interesting rules that use our methodology, an approach is described, as well as an exploratory environment and a case study to show that the proposed methodology is feasible. Interesting results were obtained. In the end of the chapter tendencies related to the subject are discussed.

Design for Product Adaptability

2007 ◽  
Author(s):  
Y. Li ◽  
D. Xue ◽  
P. Gu
Keyword(s):  
Life Cycle ◽  
Grey Relational Analysis ◽  
Design Approach ◽  
Analysis Method ◽  
Adaptable Design ◽  
Evaluation Measures ◽  
Relational Analysis ◽  
Design Paradigm ◽  
Grey Relational

Adaptable design is a new design paradigm to create designs and products that can be easily changed to satisfy different requirements. Adaptable design aims at identifying the designs and products considering functionality, manufacturing efforts, customization and environment friendliness. This research focuses on adaptable design considering product adaptability. In this work, product adaptability is evaluated by three measures including extendibility of functions, upgradeability of modules, and customizability of components. Various design candidates created in adaptable design are evaluated by different life-cycle evaluation measures including product adaptability of design, part and assembly costs of manufacturing, and operationability by customers. Since different evaluation measures are modeled in different units, the grey relational analysis method is employed to integrate the different evaluation measures for prioritizing different design candidates. A case study is given to demonstrate the effectiveness of the introduced adaptable design approach.

scholarly journals A Collaborative Evaluation Metrics Approach for Classification Algorithms

2020 ◽  
Vol 55 (1) ◽  
Author(s):  
Amira M. Idrees ◽  
Fahad Kamal Alsheref
Keyword(s):  
Evaluation Metrics ◽  
Support Vector ◽  
Classification Algorithms ◽  
Evaluation Measures ◽  
Classification Technique ◽  
Novel Method ◽  
Intelligent Methods ◽  
Collaborative Evaluation ◽  
Suitable Technique

Evaluating Algorithms is one of the critical steps which should be strongly considered as this is the pillar of most of the decisions. This research proposes a novel method for accurate algorithms’ evaluation according to the metrics’ relationships and weight. The weight of the evaluation metrics is determined according to their invariance level. The proposed method validity is confirmed by applying and evaluating the most famous and well-populated classification techniques. The results have been considered according to the calculated weight of the evaluation measures to reveal the final algorithm evaluation. As a case study, the most suitable classification technique for Tinnitus data are explored. This research considered the Tinnitus data as Tinnitus symptoms are not clearly recognized which highlights the difficulty of the patients to have a direct and fast diagnosis which highlighted the motivation in investigating intelligent methods for fast Tinnitus diagnosing. The research applied the experiment on a real dataset that is gathered in Egypt and the results highlighted that the Support Vector Machine classification algorithm is the most suitable technique for Tinnitus data classification with an accuracy equal to 90.1%.

Optimal Adaptable Design Considering Changes of Requirements, Configurations and Parameters in the Whole Product Life-Cycle

2010 ◽  
Author(s):  
D. Xue ◽  
G. Hua ◽  
V. Mehrad ◽  
P. Gu
Keyword(s):  
Life Cycle ◽  
Cycle Time ◽  
Product Life Cycle ◽  
Product Life ◽  
Adaptable Design ◽  
Evaluation Measures ◽  
Multiple Products ◽  
Engineering Problems ◽  
Time Periods

Adaptable design is a new design approach to create an adaptable product to replace multiple products for satisfying the different requirements in the product life-cycle. In this research, a method to identify the optimal product considering changes of requirements, configurations and parameters in the whole product life-cycle is introduced. The requirements, configurations and parameters of the adaptable product are modeled as functions of the life-cycle time parameter. The adaptable product is changed to different configurations and parameters to satisfy the different requirements in different life-cycle time periods. The evaluation measures, which are achieved from configurations and parameters, are also changed in different life-cycle time periods. The optimal product, modeled by its configurations and parameters, considering the whole product life-cycle is identified through optimization. A case study is provided to demonstrate how the introduced method can be employed for solving engineering problems.

Analysis, Discussion, and Evaluations for the Case Studies

2021 ◽  
pp. 142-150
Keyword(s):  
Colon Cancer ◽  
Case Studies ◽  
Classification Accuracy ◽  
Experimental Results ◽  
Full Data ◽  
Data Set ◽  
Evaluation Measures ◽  
Full Dataset ◽  
Average Accuracy

The purpose of this chapter is to discuss and analyse the results produced in Chapter 5. To evaluate the proposed models, this chapter compares the models with others existing in the literature. Additionally, the chapter discusses the evaluation measures used to validate the experimental results of Chapter 5. For example, from experiments, GA/DT demonstrated the highest average accuracy (92%) for classifying colon cancer, compared with other algorithms. PSO/DT presented 89%, PSO/SVM presented 89%, and IG/DT presented 89%, demonstrating very good classification accuracy. PSO/NB presented 57% and GA/NB presented 58%: less classification accuracy. Table ‎6.1 lists all accuracies resulting from experiments of case study one, as applied to the full data set. There are 45 algorithmic incorporation methods that have accuracy above 80% when applied to the full dataset. One algorithm presents an accuracy of 92%. Nine others scored below 60%.

scholarly journals PRIORITIZING DESIGN CANDIDATES IN ADAPTABLE DESIGN USING THE GREY RELATIONAL ANALYSIS APPROACH

2011 ◽  
Author(s):  
Y. Li ◽  
D. Xue ◽  
P. Gu
Keyword(s):  
Life Cycle ◽  
Grey Relational Analysis ◽  
New Method ◽  
Analysis Approach ◽  
Adaptable Design ◽  
Evaluation Measures ◽  
Relational Analysis ◽  
Grey Analysis ◽  
Grey Relational

A new method to evaluate design candidates in adaptable design is introduced in this research using the grey relational analysis approach. In this method, the functions of different adaptable design candidates are classified into fundamental functions and adaptable (optional) functions. These design candidates are evaluated by different life-cycle evaluation measures including adaptability of design, part and assembly costs of manufacturing, operationability by customers, etc. The grey analysis approach is employed in this research to integrate the different evaluation measures for prioritizing different design candidates with different fundamental and adaptable functions. A case study is given to demonstrate the effectiveness of the introduced approach.

The Genesis and Internal Dynamics of El Salvador's People's Revolutionary Army, 1970–1976

2014 ◽  
Vol 38 (01) ◽  
pp. 102-129
Author(s):  
ALBERTO MARTÍN ÁLVAREZ ◽  
EUDALD CORTINA ORERO
Keyword(s):  
Latin America ◽  
El Salvador ◽  
Early Years ◽  
Left Wing ◽  
Internal Dynamics ◽  
Internal Coherence ◽  
The 1960S

AbstractUsing interviews with former militants and previously unpublished documents, this article traces the genesis and internal dynamics of the Ejército Revolucionario del Pueblo (People's Revolutionary Army, ERP) in El Salvador during the early years of its existence (1970–6). This period was marked by the inability of the ERP to maintain internal coherence or any consensus on revolutionary strategy, which led to a series of splits and internal fights over control of the organisation. The evidence marshalled in this case study sheds new light on the origins of the armed Salvadorean Left and thus contributes to a wider understanding of the processes of formation and internal dynamics of armed left-wing groups that emerged from the 1960s onwards in Latin America.

Culture and the plasticity of perception

2020 ◽  
Vol 43 ◽  
Author(s):  
Michael Lifshitz ◽  
T. M. Luhrmann
Keyword(s):  
Cultural Context ◽  
Sensory Experience ◽  
Cultural Learning ◽  
The World

Abstract Culture shapes our basic sensory experience of the world. This is particularly striking in the study of religion and psychosis, where we and others have shown that cultural context determines both the structure and content of hallucination-like events. The cultural shaping of hallucinations may provide a rich case-study for linking cultural learning with emerging prediction-based models of perception.

Sign in / Sign up

Export Citation Format

Share Document