A service components pipeline model based on multi-source data extraction

2016 ◽  
Vol 124 ◽  
pp. 5-12
Author(s):  
Yu Weng
Keyword(s):  
Data Extraction ◽  
Model Based ◽  
Source Data ◽  
Service Components ◽  
Pipeline Model

Marketing customer response scoring model based on machine learning data analysis

2020 ◽  
pp. 1-11
Author(s):  
Tang Yan ◽  
Li Pengfei
Keyword(s):  
Machine Learning ◽  
Data Analysis ◽  
Data Extraction ◽  
Machine Learning Algorithms ◽  
Customer Relationship ◽  
Customer Data ◽  
Modeling And Analysis ◽  
Scoring Model ◽  
Model Based ◽  
Learning Data

In marketing, problems such as the increase in customer data, the increase in the difficulty of data extraction and access, the lack of reliability and accuracy of data analysis, the slow efficiency of data processing, and the inability to effectively transform massive amounts of data into valuable information have become increasingly prominent. In order to study the effect of customer response, based on machine learning algorithms, this paper constructs a marketing customer response scoring model based on machine learning data analysis. In the context of supplier customer relationship management, this article analyzes the supplier’s precision marketing status and existing problems and uses its own development and management characteristics to improve marketing strategies. Moreover, this article uses a combination of database and statistical modeling and analysis to try to establish a customer response scoring model suitable for supplier precision marketing. In addition, this article conducts research and analysis with examples. From the research results, it can be seen that the performance of the model constructed in this article is good.

Conceptual-model-based data extraction from multiple-record Web pages

1999 ◽  
Vol 31 (3) ◽  
pp. 227-251 ◽  
Author(s):  
D.W. Embley ◽  
D.M. Campbell ◽  
Y.S. Jiang ◽  
S.W. Liddle ◽  
D.W. Lonsdale ◽  
...  
Keyword(s):  
Conceptual Model ◽  
Data Extraction ◽  
Web Pages ◽  
Model Based

Research on Key Technologies of Component-Based Postpone Telemetry Pre-Processing

2013 ◽  
Vol 846-847 ◽  
pp. 1176-1179
Author(s):  
Zhi Guo Zhang ◽  
Lei Gong
Keyword(s):  
System Development ◽  
Data Extraction ◽  
Processing Method ◽  
Frame Structure ◽  
Telemetry Data ◽  
Data Frame ◽  
Source Data ◽  
Processing Module ◽  
Processing Software ◽  
Source Extraction

Telemetry data frame structure is complicated and changeable, so telemetry pre-processing software cannot be universal. To solve this problem, a component method was proposed in this paper, which can effectively compensate for the deficiencies of the traditional method. XML files were employed to configure telemetry parameters, including the information of appropriate processing method for data processing. Based-on memory-mapped telemetry source data extraction can greatly improve source extraction speed, and data integrity is guaranteed by sub-frame data fusion. Subsequent telemetry software developing shows that the method can improve the reusability of pre-processing module and shorten the system development time.

scholarly journals Using a game engine to visualize the Main Building of the Warsaw University of Technology in a mobile application

2020 ◽  
Vol 52 (2) ◽  
pp. 61-73
Author(s):  
Jacek Bernard Marciniak ◽  
Hubert Janicki
Keyword(s):  
Mobile Application ◽  
3D Model ◽  
Indoor Navigation ◽  
Navigation Systems ◽  
Two Dimensional ◽  
Game Engine ◽  
Main Building ◽  
Model Based ◽  
University Of Technology ◽  
Source Data

AbstractThe aim of the study presented in this article is to identify and analyse the problems which arise when creating a 3D model based on two-dimensional data and its import into a game engine and then developing algorithms to automate this process. The authors decided that they would use the Unity game engine to create an application presenting the results of modelling the interior of the Main Building of the Warsaw University of Technology. The work was divided into stages in which problems related to the adopted method were identified and the automation of selected activities was suggested. The main tasks performed during the study included processing the source data into a 3D model along with the correction of errors made during this process, detailing the model by adding characteristic elements of the building’s interior, and creating the so-called game scene in the Unity game engine along with the implementation of the application’s behaviour. The developed software can be integrated with indoor navigation systems, and the implemented scripts can be used during the preparation of other models.

scholarly journals Effectiveness of contact tracing apps for SARS-CoV-2: a rapid systematic review

BMJ Open ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. e050519
Author(s):  
Kevin Jenniskens ◽  
Martin C J Bootsma ◽  
Johanna A A G Damen ◽  
Michiel S Oerbekke ◽  
Robin W M Vernooij ◽  
...  
Keyword(s):  
Systematic Review ◽  
Mortality Rate ◽  
Clinical Outcomes ◽  
Effect Size ◽  
Data Extraction ◽  
Empirical Studies ◽  
Risk Of Bias ◽  
Contact Tracing ◽  
Model Parameters ◽  
Model Based

ObjectiveTo systematically review evidence on effectiveness of contact tracing apps (CTAs) for SARS-CoV-2 on epidemiological and clinical outcomes.DesignRapid systematic review.Data sourcesEMBASE (OVID), MEDLINE (PubMed), BioRxiv and MedRxiv were searched up to 28 October 2020.Study selectionStudies, both empirical and model-based, assessing effect of CTAs for SARS-CoV-2 on reproduction number (R), total number of infections, hospitalisation rate, mortality rate, and other epidemiologically and clinically relevant outcomes, were eligible for inclusion.Data extractionEmpirical and model-based studies were critically appraised using separate checklists. Data on type of study (ie, empirical or model-based), sample size, (simulated) time horizon, study population, CTA type (and associated interventions), comparator and outcomes assessed, were extracted. The most important findings were extracted and narratively summarised. Specifically for model-based studies, characteristics and values of important model parameters were collected.Results2140 studies were identified, of which 17 studies (2 empirical, 15 model-based studies) were eligible and included in this review. Both empirical studies were observational (non-randomised) studies and at high risk of bias, most importantly due to risk of confounding. Risk of bias of model-based studies was considered low for 12 out of 15 studies. Most studies demonstrated beneficial effects of CTAs on R, total number of infections and mortality rate. No studies assessed effect on hospitalisation. Effect size was dependent on model parameters values used, but in general, a beneficial effect was observed at CTA adoption rates of 20% or higher.ConclusionsCTAs have the potential to be effective in reducing SARS-CoV-2 related epidemiological and clinical outcomes, though effect size depends on other model parameters (eg, proportion of asymptomatic individuals, or testing delays), and interventions after CTA notification. Methodologically sound comparative empirical studies on effectiveness of CTAs are required to confirm findings from model-based studies.

scholarly journals Duplicated Network Meta-analysis: a Case Study and Recommendations for Change

2021 ◽  
Author(s):  
David Fisher ◽  
Sarah Burdett ◽  
Claire Vale ◽  
Ian White ◽  
Jayne Tierney
Keyword(s):  
Data Extraction ◽  
Meta Analysis ◽  
Research Process ◽  
Eligibility Criteria ◽  
Systemic Treatments ◽  
Source Data ◽  
Specific Source ◽  
Treatment Comparisons ◽  
Meta Analyses ◽  
High Degree

Abstract BackgroundResearch overlap and duplication is a recognised problem in the context of both pairwise and network systematic reviews. We carried out a systematic review to identify and examine duplicated Network Meta-Analyses (NMAs) in a specific disease setting where several novel therapies have recently emerged: hormone-sensitive metastatic prostate cancer (mHSPC).MethodsMEDLINE and EMBASE were systematically searched for indirect or mixed treatment comparisons or network meta-analyses of systemic treatments in the mHSPC setting, with a time-to-event outcome reported on the hazard-ratio scale. Eligibility decisions were made, and data extraction performed, by two independent reviewers.ResultsA total of 13 eligible reviews were identified, analysing between 3 and 8 randomised comparisons, and comprising between 1,773 and 7,844 individual patients. Although the included trials and treatments showed a high degree of overlap, we observed considerable variation between identified reviews in terms of review aims, eligibility criteria and included data, statistical methodology, reporting and inference. Furthermore, crucial methodological details and specific source data were often unclear.Conclusions and RecommendationsVariation across duplicated NMAs, together with reporting inadequacies, may compromise identification of best-performing treatments. We recommend that review protocols be published in advance, with greater clarity regarding the unique aims or scope of the project. Source data and results should be clearly and completely presented to allow unbiased interpretation. Review authors should be fully knowledgeable of their subject, both in terms of relevant studies and of other reviews with potential for overlap or duplication; and should re-evaluate their knowledge throughout the research process, particularly in fast-moving fields.

Sign in / Sign up

Export Citation Format

Share Document