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Framework for a Hospitality Big Data Warehouse: The Implementation of an Efficient Hospitality Business Intelligence System

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INTERNATIONAL JOURNAL OF INFORMATION SYSTEMS IN THE SERVICE SECTOR 2017年第2期9卷 27-45页

作者： Ramos, Celia M. Q. Martins, Daniel Jorge Serra, Francisco Lam, Roberto Cardoso, Pedro J. S. Correia, Marisol B. Rodrigues, Joao M. F. Univ Algarve CEFAGE Faro Portugal Univ Algarve ESGHT Faro Portugal Univ Algarve LARSyS Faro Portugal Univ Algarve ISE Faro Portugal Univ Algarve CEG IST Faro Portugal

order to increase the hotel's competitiveness, to maximize its revenue, to meliorate its online reputation and improve customer relationship, the information about the hotel's business has to be managed by adequate information systems (IS). Those IS should be capable of returning knowledge from a necessarily large quantity of information, anticipating and influencing the consumer's behaviour. One way to manage the information is to develop a Big Data Warehouse (BDW), which includes information from internal sources (e.g., Data Warehouse) and external sources (e.g., competitive set and customers' opinions). This paper presents a framework for a Hospitality Big Data Warehouse (HBDW). The framework includes a (1) Web crawler that periodically accesses targeted websites to automatically extract information from them, and a (2) data model to organize and consolidate the collected data into a HBDW. Additionally, the usefulness of this HBDW to the development of the business analytical tools is discussed, keeping in mind the implementation of the business intelligence (BI) concepts.

关键词： Big Data Warehouse Business Intelligence Customer Behaviour Hospitality Hospitality Big Data Warehouse nosql databases Online Reputation Tourism Web Crawler

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Integrated Webapp For Campus Placement

Integrated Webapp For Campus Placement

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New Frontiers in Communication, Automation, Management and Security (ICCAMS), International Conference on

作者： M. Sinthuja D. Vidhya V Karthik T Ramesh Department of Information Science and Engineering M. S Ramaiah Institute of Technology Bengaluru Karnataka Department of Computer Science and Engineering Hindusthan Institute of Technology Coimbatore Department of Computer Science and Engineering Presidency University Bengaluru Karnataka

ISBN: (数字)9798350317060

ISBN: (纸本)9798350317077

Many institutions now do not have a platform where students can view all of the offers from various firms, and they must fill out the form with their information again for each company that visits. To minimize future problems, the college placement department must check each student's information. Companies rely on the Placement department to obtain information about selected applicants for additional procedures. To solve this problem, a platform for students to register and submit their updated profiles was required. Companies can see the applications received for a specific job vacancy, admin can approve or reject the student's registration based on the database present with him, and students can see various job openings from companies at a specific time. The current system is not a proper and appropriate method of implementing Training and Placement management because it becomes difficult for the placement department to manage all of the databases, send emails regarding offers to every student, and keep track of every student, whether they received an offer or not. As a result, this study created a platform for students to register and submit their updated profiles, reducing administrative effort. Companies get immediate access to the applications submitted for a specific employment opportunity. Features are supplied to immediately generate information from existing data. This study recommended segmenting the web app into three components for design: admin, company, and student. React JS is utilized as a frontend framework for development, Node JS as a server-side script for integration and REST operations, MongoDB and Mongoose for databases and connections, Redux for state management, and Axios for requests and answers.

关键词： Training Automation databases Current measurement nosql databases Employment Companies

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Data Standardization for Gait Analysis in the Oritel Network

Data Standardization for Gait Analysis in the Oritel Network

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3D Analysis of Human Movement (3DAHM), International Symposium on

作者： Rosario Ulloa Esteban J. Pino Mónica Morante Lorena Llorente Manuela Galli Dept. Ingeniería Eléctrica. Universidad de Concepción. Concepción Chile Laboratorio de Marcha Instituto Teletón Santiago. Santiago Chile Instituto Teletón Concepción. Instituto Teletón Concepción. Concepcion Chile Dept. of Electronics Information and Bioengineering Politecnico di Milano Milán Italia

ISBN: (数字)9798331521738

ISBN: (纸本)9798331509842

Gait, a complex process unique to everyone, has been extensively studied in fields such as medicine, rehabilitation, and biomechanics. Gait laboratories, like those at Teletón centers, play a crucial role in analyzing and diagnosing human movement patterns during locomotion. This report focuses on standardizing data from different gait laboratories. This initiative addresses the lack of uniformity, which hinders the comparison and exchange of information between different rehabilitation centers. The proposal is part of the Movement Analysis Network project, an initiative by Politecnico di Milano, Oritel, and Universidad de Concepción, promoting collaboration, research, and continuous improvement in movement analysis. The proposed methodology particularly focuses on standardizing data acquired from BTS GaitLab and Vicon Systems. To achieve an effective comparison between data from these two systems, it is essential to define uniform labels and automate the processes that allow for the comparison of the information contained in the files. For this purpose, our script takes C3D and EMT files as input and generates table-formatted files separated by study type as output. Then, those files are used as input for a nosql database. This database facilitates further data comparison. This work enables the creation of standardized databases, which can be used to improve the effectiveness and reliability of diagnoses and treatments related to gait pathologies. In a future work, machine learning techniques could be used for gait pattern classification, creating new opportunities for more precise and personalized medical care, thereby positively impacting patients' quality of life by tailoring treatments to their specific needs.

关键词： Pathology Three-dimensional displays databases nosql databases Laboratories Pattern classification Standardization Medical services Reliability Proposals

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What database do you choose for heterogeneous security log events analysis?

What database do you choose for heterogeneous security log e...

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IFIP/IEEE International Symposium on Integrated Network Management

作者： Sofiane Lagraa Radu State Interdisciplinary Centre for Security Reliability and Trust (SnT) University of Luxembourg

The heterogeneous massive logs incoming from multiple sources pose major challenges to professionals responsible for IT security and system administrator. One of the challenges is to develop a scalable heterogeneous logs database for storage and further analysis. In fact, it is difficult to decide which database is suitable for the needs, the best of a use case, execution time and storage performances. In this paper, we explore, study, and compare the performance of SQL and nosql databases on large heterogeneous event logs. We implement the relational database using MySQL, the column-oriented database using Impala on the top of Hadoop, and the graph database using Neo4j. We experiment the databases on a large heterogeneous logs and provide advice, the pros and cons of each SQL and nosql database. Our findings that Impala outperforms MySQL and Neo4j databases in terms of loading logs, execution time of simple queries, and storage of logs. However, Neo4j outperforms Impala and MySQL in the execution time of complex queries.

关键词： Structured Query Language databases Firewalls (computing) nosql databases Loading Relational databases Cluster computing

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Modernization of the National Institutes of Health Dietary Supplement Label Database

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JOURNAL OF FOOD COMPOSITION AND ANALYSIS 2021年 102卷 104058-104058页

作者： Saldanha, Leila G. Dwyer, Johanna T. Bailen, Richard A. Bailen, Richard A. NIH Off Dietary Supplements 6705 Rockledge DrRockledge 1Room 730 Bethesda MD 20817 USA

Launched in 2008, NIH's DSLD (https://***/dsld/) currently catalogs information printed on over 125,000 (historical and current) labels of dietary supplement products sold in the U.S. The database is maintained and updated continuously, and new versions deployed regularly. The new home page includes a prominent search bar and counter that displays the number of searchable labels in the database. The redesigned website yields near-instantaneous label retrieval, a more attractive layout of information, tailored search filters and download options, and the ability to view data in pictorial formats resulting in a much-improved user experience. The modernization of the DSLD ensures that this NIH resource has new forms of data delivery to meet the needs of App developers and data scientists, and improved performance for users. The DSLD is updated frequently to reflect the products sold in the rapidly evolving U.S. dietary supplement market.

关键词： formulations labels database nosql databases DSLD dietary supplement label database NIH botanicals nutrient intake dietary supplements

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FRIskil1 Knowledge Base Management System

FRIskil1 Knowledge Base Management System

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International Conference on Emerging eLearning Technologies and Applications (ICETA)

作者： Olga Chovancova Tibor Postek Jan Bohacik University of Zilina Zilina Slovakia

ISBN: (纸本)9781538679159;9781538679142

FRlskill is a knowledge base management system designated for competence management in companies, universities and various other institutions and it allows to search employees by any key competencies or time availability. It is part of a project which is focused on HR and line managers and whose aim is to create possibilities for surveying, evaluating and planning organization competencies so that risks are reduced and efficiency during project acquisition and realization is enhanced. In this paper, the results of the project which have been achieved since 2016 are presented, especially individual parts and a demo version of our developed application. Competencies concept is investigated, the whole FRlskill system and its requirements are analyzed and its architecture is described, including trends in technologies. Displaying a tree of competences and a sophisticated search of employees are considered the most significant features of the FRIskill system. It may be said that FRIskill is able to simplify project planning in universities and other institutions.

关键词： Servers Companies Cloud computing nosql databases Planning Task analysis

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Evaluation of Container Orchestration Systems for Deploying and Managing nosql Database Clusters

Evaluation of Container Orchestration Systems for Deploying ...

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IEEE International Conference on Cloud Computing, CLOUD

作者： Eddy Truyen Matt Bruzek Dimitri Van Landuyt Bert Lagaisse Wouter Joosen Imec-DistriNet KULeuven Red Hat

Container orchestration systems, such as Docker Swarm, Kubernetes and Mesos, provide automated support for deployment and management of distributed applications as sets of containers. While these systems were initially designed for running load-balanced stateless services, they have also been used for running database clusters because of improved resilience attributes such as fast auto-recovery of failed database nodes, and location transparency at the level of TCP/IP connections between database instances. In this paper we evaluate the performance overhead of Docker Swarm and Kubernetes for deploying and managing nosql database clusters, with MongoDB as database case study. As the baseline for comparison, we use an OpenStack IaaS cloud that also allows attaining these improved resilience attributes although in a less automated manner.

关键词： Containers IP networks Cloud computing nosql databases Performance evaluation Distributed databases

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Review of the Literature on Big Data and Performance Analysis of Multimodel and Polyglot Persistence

Review of the Literature on Big Data and Performance Analysi...

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Advances in Computing Research on Science Engineering and Technology (ACROSET), International Conference on

作者： Suraj Sharma Ratnesh Kumar Dubey Pallavi Khatri Computer Science and Engineering ITM University Gwalior Gwalior India

ISBN: (数字)9798350388800

ISBN: (纸本)9798350388817

Social networking and e-commerce data are expanding at an exponential rate due to the recent advancements in ubiquitous computing. As evidenced by the most recent discovery of the Higgs Boson this is also true in scientific investigations. The vast amount, wide diversity, and lightning-fast speed of the data have led to it being dubbed “Bigdata,” necessitating the development of effective methods for analysis and storage. In this work, we examine the many nosql database types that are often used to store and handle Bigdata, as well as the shortcomings of each kind. For unstructured datasets, we created an experimental model to examine the effectiveness of Exploring the world of polyglot persistence and multi-model databases. Additionally, we go over many situations when they surpass one another.

关键词： Costs databases Social networking (online) Reviews nosql databases Metadata Ubiquitous computing Performance analysis Indexes Electronic commerce

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SMEAGOL: A Static Code Smell Detector for MongoDB

SMEAGOL: A Static Code Smell Detector for MongoDB

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IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)

作者： Boris Cherry Csaba Nagy Michele Lanza Anthony Cleve Namur Digital Institute University of Namur Belgium Software Institute USI Lugano Switzerland

ISBN: (数字)9798350330663

ISBN: (纸本)9798350330670

MongoDB is one of the most popular nosql database engines. To foster scalability, it provides multiple features such as schemaless data storage or sharding. However, those new features introduce additional considerations for the maintainer to be careful, which might lead to erroneous implementation choices often referred to as code smells or antipatterns. Detecting and fixing those code smells can play a crucial role for developers in their maintenance efforts. We present SMEAGOL (SMEll and Antipattern detection for monGOdb appLications), a static analysis tool to detect MongoDB code smells in JavaScript applications. SMEAGOL relies on CodeQL and detects code smells by analyzing and extracting all the necessary information (e.g., data structure) from the database access code of the application. We demonstrate it by examining the evolution of MongoDB code smells in five popular open-source projects, showing promising results. Video link: https://***/h4Xbp9dIFtO Repository link: https://***/bocherry/SMEAGOL_tool

关键词： Sharding Codes databases Scalability nosql databases Refining Static analysis

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Design and Implementation of an IoT-Based System for Monitoring Endangered Beaches

Design and Implementation of an IoT-Based System for Monitor...

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IEEE Canada International Humanitarian Technology Conference (IHTC)

作者： Franco Rivadeneira Bonnie Arauco Ariana Terán Jesus Flores-Oscanoa Celso De-La-Cruz Casaño Department of Engineering Pontifical Catholic University of Peru Lima Peru Science and Engineering Department Pontifical Catholic University of Peru Lima Peru

ISBN: (数字)9798350354645

ISBN: (纸本)9798350354652

Beach pollution is an escalating global issue, posing a significant threat to marine ecosystems and human health. Plastic waste, originating from commercial activities, fishing, and improper waste management, is prevalent on beaches worldwide. This debris is transported by rivers and waterways, leading to widespread contamination. Additionally, climate change and pollution are expected to result in the loss of many sandy beaches, altering ecosystems and diminishing natural recreational areas. For this reason, an IoT-based system has been developed that, using low-cost autonomous cleaning robots on different beaches, can collect data and detect garbage using the new YOLO V10 architecture. As a result, the system was successfully implemented to store and alert users when a beach has a high level of pollution. It efficiently collects and saves data from multiple beaches in a safe nosql Database using multiple robots simultaneously. Additionally, the highest performance predictive model achieved an accuracy of 77.69%, a recall of 71.63%, and an F1 score of 74.53%.

关键词： YOLO Waste management Pollution Environmentally friendly manufacturing techniques nosql databases Predictive models Rivers Robots Monitoring Plastic waste

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