scholarly journals Transportation Service Quality Improvement through Closed Sequential Pattern Mining Approach

2016 ◽  
Vol 16 (3) ◽  
pp. 185-194
Author(s):  
Haisong Huang ◽  
Liguo Yao ◽  
Chieh-Yuan Tsai
Keyword(s):  
Quality Improvement ◽  
Food Safety ◽  
Dairy Products ◽  
Pattern Mining ◽  
Sequential Patterns ◽  
Analysis Method ◽  
New Approach ◽  
Transportation Service ◽  
Sequential Mining ◽  
Food Safety And Quality

Abstract With the improvement of people’s living quality, more attention has been paid in food safety and quality. This is especially true for perishable agricultural and dairy products. It is quite often that customers receive poor or broken products due to mistakes or wrong ways in transportation. This leads customers the unsatisfied for companies’ products are relatively low. To solve the above problem, this paper proposes a new approach of using frequent closed sequential mining technology to analysis logistics data for helping companies to track the possible transportation problems. The approach consists of several important steps: RFID-enabled raw data collection, frequent sequential patterns mining, and patterns analysis. The experiment shows the proposed analysis method can discover many inside transportation service causes.

A 3-phase approach based on sequential mining and dependency parsing for enhancing hypernym patterns performance

2021 ◽  
Vol 36 ◽  
Author(s):  
Ahmad Issa Alaa Aldine ◽  
Mounira Harzallah ◽  
Giuseppe Berio ◽  
Nicolas Béchet ◽  
Ahmad Faour
Keyword(s):  
Pattern Mining ◽  
Sequential Patterns ◽  
Regular Expressions ◽  
Good Precision ◽  
Dependency Parsing ◽  
Lexical Information ◽  
Phase Approach ◽  
Loosely Coupled ◽  
Sequential Mining ◽  
Grammatical Dependencies

Abstract Patterns have been extensively used to extract hypernym relations from texts. The most popular patterns are Hearst’s patterns, formulated as regular expressions mainly based on lexical information. Experiences have reported good precision and low recall for such patterns. Thus, several approaches have been developed for improving recall. While these approaches perform better in terms of recall, it remains quite difficult to further increase recall without degrading precision. In this paper, we propose a novel 3-phase approach based on sequential pattern mining to improve pattern-based approaches in terms of both precision and recall by (i) using a rich pattern representation based on grammatical dependencies (ii) discovering new hypernym patterns, and (iii) extending hypernym patterns with anti-hypernym patterns to prune wrong extracted hypernym relations. The results obtained by performing experiments on three corpora confirm that using our approach, we are able to learn sequential patterns and combine them to outperform existing hypernym patterns in terms of precision and recall. The comparison to unsupervised distributional baselines for hypernym detection shows that, as expected, our approach yields much better performance. When compared to supervised distributional baselines for hypernym detection, our approach can be shown to be complementary and much less loosely coupled with training datasets and corpora.

scholarly journals Application of SERS quantitative analysis method in food safety detection

2021 ◽  
Vol 40 (1) ◽  
pp. 173-186
Author(s):  
Hualan Zhou ◽  
Xiaodi Li ◽  
Lehui Wang ◽  
Yingfang Liang ◽  
Aikedan Jialading ◽  
...  
Keyword(s):  
Quantitative Analysis ◽  
Food Safety ◽  
Analysis Method ◽  
Surface Enhanced ◽  
Surface Enhanced Raman ◽  
Food Quality And Safety ◽  
Quantitative Analysis Method ◽  
Enhanced Raman Scattering ◽  
Non Destructive ◽  
Food Safety And Quality

Abstract Food safety and quality have gained much attention and the capability to evaluate food quality and safety in a sensitive, rapid, and reliable manner is of great importance in the food industry. Surface-enhanced Raman scattering (SERS) with the advantages of excellent sensitivity, high selectivity, non-destructive nature, and significant enhancement to identify the target has demonstrated a great potential for quick detection of the food sample. The enhancement of Raman signals for SERS is not only related to the interactions between substrates and samples but also the functionalization of substrates to gain SERS active substrates. In the present review, this paper summarized the progress of SERS quantitative analysis and application in food safety detection. The future trends and perspectives were also given.

scholarly journals DRL-Prefixspan: A novel pattern growth algorithm for discovering downturn, revision and launch (DRL) sequential patterns

2012 ◽  
Vol 2 (4) ◽  
Author(s):  
Aloysius George ◽  
D. Binu
Keyword(s):  
Data Mining ◽  
Efficient Algorithm ◽  
Pattern Mining ◽  
Sequential Pattern Mining ◽  
Experimental Results ◽  
Sequential Pattern ◽  
Product Launch ◽  
Sequential Patterns ◽  
Sequential Mining ◽  
One Step

AbstractDiscovering sequential patterns is a rather well-studied area in data mining and has been found many diverse applications, such as basket analysis, telecommunications, etc. In this article, we propose an efficient algorithm that incorporates constraints and promotion-based marketing scenarios for the mining of valuable sequential patterns. Incorporating specific constraints into the sequential mining process has enabled the discovery of more user-centered patterns. We move one step ahead and integrate three significant marketing scenarios for mining promotion-oriented sequential patterns. The promotion-based market scenarios considered in the proposed research are 1) product Downturn, 2) product Revision and 3) product Launch (DRL). Each of these scenarios is characterized by distinct item and adjacency constraints. We have developed a novel DRL-PrefixSpan algorithm (tailored form of the PrefixSpan) for mining all length DRL patterns. The proposed algorithm has been validated on synthetic sequential databases. The experimental results demonstrate the effectiveness of incorporating the promotion-based marketing scenarios in the sequential pattern mining process.

Handbook of organic food safety and quality

2007 ◽  
Author(s):  
Julia Cooper ◽  
Urs Niggli ◽  
Carlo Leifert
Keyword(s):  
Food Safety ◽  
Organic Food ◽  
Food Safety And Quality

scholarly journals Simplified Approach to Predict Food Safety through the Maximum Specific Bacterial Growth Rate as Function of Extrinsic and Intrinsic Parameters

2021 ◽  
Vol 5 (2) ◽  
pp. 22
Author(s):  
Pedro D. Gaspar ◽  
Joel Alves ◽  
Pedro Pinto
Keyword(s):  
Growth Rate ◽  
Food Safety ◽  
Information And Communication Technologies ◽  
Bacterial Growth ◽  
Low Cost ◽  
Extrinsic Factors ◽  
Bacterial Growth Rate ◽  
Modeling Tools ◽  
Simplified Approach ◽  
Food Safety And Quality

Currently, we assist the emergence of sensors and low-cost information and communication technologies applied to food products, in order to improve food safety and quality along the food chain. Thus, it is relevant to implement predictive mathematical modeling tools in order to predict changes in the food quality and allow decision-making for expiration dates. To perform that, the Baranyi and Roberts model and the online tool Combined Database for Predictive Microbiology (Combase) were used to determine the factors that define the growth of different bacteria. These factors applied to the equation that determines the maximum specific growth rate establish a relation between the bacterial growth and the intrinsic and extrinsic factors that define the bacteria environment. These models may be programmed in low-cost wireless biochemical sensor devices applied to packaging and food supply chains to promote food safety and quality through real time traceability.

scholarly journals Evaluation and Validation of a Semiautomatic Image Analysis Method: Quantification of Nares Cell Proliferation of Rhinella arenarum (Anura) Detected with the Avidin-Biotin Complex/Peroxidase, DAB

2015 ◽  
Vol 2015 ◽  
pp. 1-10
Author(s):  
Javier Eduardo Diaz Zamboni ◽  
Daniela Osella ◽  
Enrique Valentín Paravani ◽  
Víctor Hugo Casco
Keyword(s):  
Gold Standard ◽  
Visual Analysis ◽  
Methodological Approach ◽  
Image Features ◽  
Analysis Method ◽  
New Approach ◽  
Image Characteristics ◽  
Microscopy Image ◽  
Computer Based ◽  
Current Report

The current report presents the development and application of a novel methodological approach for computer-based methods of processing and analysis of proliferative tissues labeled by ABC-peroxidase method using 3, 3′-diaminobenzidine (DAB) as chromogen. This semiautomatic method is proposed to replace the classical manual approach, widely accepted as gold standard. Our method is based on a visual analysis of the microscopy image features from which a computational model is built to generate synthetic images which are used to evaluate and validate the methods of image processing and analysis. The evaluation allows knowing whether the computational methods applied are affected by the change of the image characteristics. Validation allows determining the method’s reliability and analyzing the concordance between the proposed method and a gold standard one. Additional strongness of this new approach is that it may be a framework adaptable to other studies made on any kind of microscopy.

Sign in / Sign up

Export Citation Format

Share Document