AGMI - AN AGENT-MINING TOOL AND ITS APPLICATION TO BRAZILIAN GOVERNMENT AUDITING

2011 ◽  
Keyword(s):  
Brazilian Government ◽  
Agent Mining ◽  
Mining Tool ◽  
Government Auditing

MONITORING OF OPERATIONAL LOGISTIC PROCESSES IN GENERAL CARGO WAREHOUSES USING PREDICTIVE ANALYSIS

2019 ◽  
Vol 13 (1) ◽  
pp. 27-36
Author(s):  
Andreas Neubert
Keyword(s):  
Data Mining ◽  
Human Error ◽  
Predictive Analysis ◽  
Data Mining Algorithm ◽  
It Infrastructure ◽  
Monitoring Procedure ◽  
Manual Recording ◽  
Mining Tool ◽  
General Cargo ◽  
Different Characteristics

Due to the different characteristics of the piece goods (e.g. size and weight), they are transported in general cargo warehouses by manually-operated industrial trucks such as forklifts and pallet trucks. Since manual activities are susceptible to possible human error, errors occur in logistical processes in general cargo warehouses. This leads to incorrect loading, stacking and damage to storage equipment and general cargo. It would be possible to reduce costs arising from errors in logistical processes if these errors could be remedied in advance. This paper presents a monitoring procedure for logistical processes in manually-operated general cargo warehouses. This is where predictive analysis is applied. Seven steps are introduced with a view to integrating predictive analysis into the IT infrastructure of general cargo warehouses. These steps are described in detail. The CRISP4BigData model, the SVM data mining algorithm, the data mining tool R, the programming language C++ for the scoring in general cargo warehouses represent the results of this paper. After having created the system and installed it in general cargo warehouses, initial results obtained with this method over a certain time span will be compared with results obtained without this method through manual recording over the same period.

Identifying Key Fraud Indicators in the Automobile Insurance Industry Using SQL Server Analysis Services

2019 ◽  
Vol 64 (2) ◽  
pp. 53-71
Author(s):  
Botond Benedek ◽  
Ede László
Keyword(s):  
Neural Network ◽  
Decision Tree ◽  
Naive Bayes ◽  
Insurance Industry ◽  
Naïve Bayes ◽  
Sql Server ◽  
Categorical Variables ◽  
Automobile Insurance ◽  
Price Determination ◽  
Mining Tool

Abstract Customer segmentation represents a true challenge in the automobile insurance industry, as datasets are large, multidimensional, unbalanced and it also requires a unique price determination based on the risk profile of the customer. Furthermore, the price determination of an insurance policy or the validity of the compensation claim, in most cases must be an instant decision. Therefore, the purpose of this research is to identify an easily usable data mining tool that is capable to identify key automobile insurance fraud indicators, facilitating the segmentation. In addition, the methods used by the tool, should be based primarily on numerical and categorical variables, as there is no well-functioning text mining tool for Central Eastern European languages. Hence, we decided on the SQL Server Analysis Services (SSAS) tool and to compare the performance of the decision tree, neural network and Naïve Bayes methods. The results suggest that decision tree and neural network are more suitable than Naïve Bayes, however the best conclusion can be drawn if we use the decision tree and neural network together.

Performance Comparison among Meta Classifier Algorithms in WEKA

2019 ◽  
Vol 1 (2) ◽  
pp. 106-112
Author(s):  
Nur Amiratun Nazihah Roslan ◽  
Hairulnizam Mahdin ◽  
Shahreen Kasim
Keyword(s):  
Social Networking ◽  
Performance Comparison ◽  
Data Availability ◽  
Data Mining Tool ◽  
Huge Data ◽  
Technology Advancement ◽  
The Social ◽  
The World ◽  
Media Platform ◽  
Mining Tool

With the rise of social networking approach, there has been a surge of users generated content all over the world and with that in an era where technology advancement are up to the level where it could put us in a step ahead of pathogens and germination of diseases, we couldn’t help but to take advantage of that advancement and provide an early precaution measures to overcome it. Twitter on the other hand are one of the social media platform that provides access towards a huge data availability. To manipulate those data and transform it into an important information that could be used in many different scope that could help improve people’s life for the better. In this paper, we gather all algorithm that are available inside Meta Classifier to compare between them on which algorithm suited the most with the dengue fever dataset. This research are using WEKA as the data mining tool for data analyzation.

Complete genome of mangrove-derived anti-MRSA streptomycete, Streptomyces pluripotens MUSC 135T

2018 ◽  
Vol 1 (1) ◽  
Author(s):  
Hooi-Leng Ser ◽  
Kok-Gan Chan ◽  
Wen-Si Tan ◽  
Wai-Fong Yin ◽  
Bey-Hing Goh ◽  
...  
Keyword(s):  
Complete Genome ◽  
Methicillin Resistant Staphylococcus Aureus ◽  
Gene Clusters ◽  
Salmonella Typhi ◽  
Bacteriocin Production ◽  
Trna Genes ◽  
Genus Streptomyces ◽  
Mining Tool ◽  
Bioactive Potential ◽  
Effective Drugs

Microorganisms serve as attractive resources, owing to their ability to synthesize structurally-diverse substanceswith various bioactivities. Within the Bacteria domain, members of the genus Streptomyces have demonstrated remarkableability to produce clinically useful, secondary metabolites such as anticancer, antioxidants, antivirals and antibacterials.Streptomyces pluripotens MUSC 135T was isolated as novel strain from mangrove forest in Malaysia. This strain exhibitedbroad spectrum bacteriocin against several pathogens including methicillin-resistant Staphylococcus aureus (MRSA) strainATCC BAA-44, Salmonella typhi ATCC 19430T and Aeromonas hydrophila ATCC 7966T. Thus, the strain was selected forwhole genome sequencing as an attempt to explore its bioactive potential. Here we report the first complete genome of S.pluripotens MUSC 135T genome which comprise of 7.35 Mbp with G+C content of 69.9 %. A total of 6,404 open readingframes (ORFs) were predicted, along with 18 rRNA and 69 tRNA genes. Using bacteriocin mining tool, BAGEL detectedeights gene clusters associated with bacteriocin production including lanthipeptides and linear azol(in)e-containing peptides(LAPs). Members of Streptomyces have contributed greatly towards improving lives, particularly against deadly infectionsand chronic diseases. The availability of S. pluripotens MUSC 135T genome sequence has opened new window for drugdiscovery, particularly for effective drugs against harmful pathogens such as MRSA and certainly deserves further detailedstudy.

The Public Services Provided by Brazilian Government Over the Internet

2001 ◽  
Author(s):  
Jorge Calmon Moniz de Bittencourt Filho ◽  
Elizabeth R. Loiola
Keyword(s):  
Public Services ◽  
The Internet ◽  
The Public ◽  
Brazilian Government

scholarly journals Investigation of ill-defined causes of death: assessment of a program's performance in a State from the Northeastern region of Brazil

2014 ◽  
Vol 17 (1) ◽  
pp. 119-134 ◽  
Author(s):  
Elisabeth Barboza França ◽  
Carolina Cândida da Cunha ◽  
Ana Maria Nogales Vasconcelos ◽  
Juan José Cortez Escalante ◽  
Daisy Xavier de Abreu ◽  
...  
Keyword(s):  
Health Professionals ◽  
Causes Of Death ◽  
Family Health ◽  
Completion Rate ◽  
Epidemiological Surveillance ◽  
Mortality Data ◽  
Hospital Records ◽  
Brazilian Government ◽  
Probabilistic Sample

OBJECTIVE: The proportion of ill-defined causes of death (IDCD) was persistently high in some regions of Brazil in 2004. In 2005, the Brazilian government implemented a project in order to decrease this proportion, especially in higher priority states and municipalities. This study aimed to evaluate the performance of this project in Alagoas - a state from the Northeast region of Brazil. METHOD: We selected a probabilistic sample of 18 municipalities. For all IDCD identified in 2010, we collected the verbal autopsy (VA) questionnaires used for home investigation, and the Ministry of Health (MoH) form, which contains information about the final disease and cause of death taken from hospital records, autopsies, family health teams, and civil registry office records. The completion rate of the MoH form and VA was calculated using the number of deaths with specific causes assigned among investigated deaths. RESULTS: A total of 681 IDCD were recorded in 2010 in the sample, of which 26% had a MoH and/or VA3 forms completed. Although the majority of cases were attended by health professionals during the terminal disease, the completion rate was 45% using the MoH form and 80% when VA was performed. CONCLUSIONS: Our findings provide evidence that the training of the epidemiological surveillance teams in the investigation and certification of causes of death could contribute to improve the quality of mortality data.

Fighting for Family Reunification: the Congolese Experience in São Paulo, Brazil

2020 ◽  
Author(s):  
Patrícia Nabuco Martuscelli
Keyword(s):  
Organizational Structure ◽  
Sao Paulo ◽  
Family Reunification ◽  
The Political ◽  
Political Rights ◽  
São Paulo ◽  
Structured Interviews ◽  
Political Pressure ◽  
Brazilian Government

Abstract Refugees in Brazil have no political rights. However, problems with family reunification visas in the Brazilian Embassy in Kinshasa was a cause that united Congolese refugees in Brazil. This article analyzes the political articulation of this group in São Paulo. I conducted semi-structured interviews with refugees who act as spokespersons for this movement, and I analysed their strategies of organization, presentation of claims, and political pressure to solve this issue through analysis of documents produced by them and delivered to Brazilian authorities. Even though they had no success, they developed an organizational structure composed by a WhatsApp group for fast communication and periodic meetings in person in the centre of São Paulo. This structure can be used to demand other rights and to continue to pressure the Brazilian government.

Sign in / Sign up

Export Citation Format

Share Document