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Data Processing and Analytics for Data-Centric Sciences [chapter]

Leonardo Candela, Gianpaolo Coro, Lucio Lelii, Giancarlo Panichi, Pasquale Pagano
2020 Lecture Notes in Computer Science  
The development of data processing and analytics tools is heavily driven by applications, which results in a great variety of software solutions, which often address specific needs.  ...  This chapter describes the data analytics framework that has been designed and developed in the ENVRIplus project to be (a) suitable for serving the needs of researchers in several domains including environmental  ...  This work was supported by the European Union's Horizon 2020 research and innovation programme via the ENVRIplus project under grant agreement No. 654182.  ... 
doi:10.1007/978-3-030-52829-4_10 fatcat:lvqghw5vxjaillzk4x6tenauti

Efficient Data Management for Putting Forward Data Centric Sciences [chapter]

Genoveva Vargas-Solar
2017 Communications in Computer and Information Science  
This paper explores the key challenges and opportunities for data management in this new scientific context, and discusses how data management can best contribute to data centric sciences applications  ...  through clever data science strategies.  ...  Big Data management and processing are no longer only associated to scientific applications with prediction, analytics requirements, data centric sciences also call for data aware management to address  ... 
doi:10.1007/978-3-319-67162-8_25 fatcat:5xzhfomxbbdzdmhvniltnndijy

Defining architecture components of the Big Data Ecosystem

Yuri Demchenko, Cees de Laat, Peter Membrey
2014 2014 International Conference on Collaboration Technologies and Systems (CTS)  
Big Data are becoming a new technology focus both in science and in industry and motivate technology shift to data centric architecture and operational models.  ...  Big Data properties ( also called Big Data 5V: Volume, Velocity, Variety, Value and Veracity), data models and structures, data analytics, infrastructure and security.  ...  The authors will continue contributing to the NIST Big Data WG targeting both goals to propose own approach and to validate it against the industry standardisation process.  ... 
doi:10.1109/cts.2014.6867550 dblp:conf/cts/DemchenkoLM14 fatcat:c4dcnflvyvhc5do3xvkqxapney

Requirements for Big Data Analytics Supporting Decision Making: A Sensemaking Perspective [chapter]

Lydia Lau, Fan Yang-Turner, Nikos Karacapilidis
2014 Studies in Big Data  
Big data analytics requires technologies to efficiently process large quantities of data.  ...  Reflection on this outcome has further advanced our understanding on the complexity and the potential of individual and collaborative sensemaking models for big data analytics.  ...  The data-centric services are developed to deal with data processing and analysis in this field, such as: • Subgroup Discovery service (see Chap. 5) provides the tool for the functional interpretation  ... 
doi:10.1007/978-3-319-02612-1_3 fatcat:h5o73bxaxnfn5ghtzwv6rvdmcm

Dealing with Data Quality Challenges in Multi-disciplinary Data Analytics Software Teams

Ulrike Maria Graetsch, Hourieh Khalajzadeh, Mojtaba Shahin, John Grundy
2021 Zenodo  
The interview questions of the paper titled "Dealing with Data Quality Challenges in Multi-disciplinary Data Analytics Software Teams" submitted to IEEE/ACM International Conference on Software Engineering  ...  Change prompt to focus on data What data driven/data related tools and processes does your team use to deliver data analytics solutions? Do these tools/processes help improve data quality?  ...  -for example, communicating data concepts or data science concepts. for example -have you experienced any challenges relating to communicating data concepts or data science concepts when working in multi-disciplinary  ... 
doi:10.5281/zenodo.5571045 fatcat:d7gvrtdoofgi3p2afho3yvpkuu

Agent-based Human-computer-interaction for Real-time Monitoring Systems in the Trucking Industry

Elfriede Krauth, Jos Hillegersberg, Steef Van De Velde
2007 2007 40th Annual Hawaii International Conference on System Sciences (HICSS'07)  
Auto ID systems can replace time-consuming, costly and error-prone processes of human data entry and produce detailed real time information.  ...  For the respective data representation at least two forms can be distinguished, focusing either on (1) resources (accountbased) or (2) orders (order-centric).  ...  The authors would like to thank the following institutions for their financial support for a research visit of the first author to the Helsinki University of Technol  ... 
doi:10.1109/hicss.2007.52 dblp:conf/hicss/KrauthHV07 fatcat:at4aj4m4g5hgtenfznts4pwrfm

Systematic Brain Data Analysis: A Review

Hamid Faisal, Shruti Kolte, Vikrant Chole
2015 International Journal of Computer Applications  
The brain data analytical methods are very rare and thus brain data research and implementation is more challenging.  ...  More data and analytical methods need to be added in the existing BI approaches. Also, there is high need to embed these into a mature computing environment.  ...  In summary that the [1] systematic brain data analysis can be regarded domain driven data mining [5] in brain science which course issue of integrating various brain data and analytical method for  ... 
doi:10.5120/19309-0761 fatcat:t5exqqxernctpmk2deok33opde

Personalized Learning Environment in Higher Education through Big Data and Blended Learning Analytics

2019 International journal of recent technology and engineering  
This necessitates the need of a framework which can capture and use the digital data.  ...  Blended learning analytics provides inferences which when utilized effectively by the educator and learner would enhance the teaching-learning experience.  ...  Undergraduate students of computer science study many programming courses hence for a period of three years data was collected for Java programming course.  ... 
doi:10.35940/ijrte.c5778.098319 fatcat:akypjp2einbthfbyfpx3xywoea

Introduction to Business Analytics, Business Intelligence, and Big Data Minitrack

Robert Winter, Olivera Marjanovic, Barbara H. Wixom
2013 2013 46th Hawaii International Conference on System Sciences  
This includes managerial considerations (BI strategy, BI organization and governance, BI value, data quality management, etc.), process-centric BI, and interorganizational aspects.  ...  advancement of business analytics (BA) / business intelligence (BI) concepts for the front-end, while databases, data warehousing and recently 'big data' are examples for the development of the underlying  ...  This includes managerial considerations (BI strategy, BI organization and governance, BI value, data quality management, etc.), process-centric BI, and interorganizational aspects.  ... 
doi:10.1109/hicss.2013.334 dblp:conf/hicss/WinterMW13 fatcat:s4d7keiv6vbsbmjnvh2krrdfma

Towards a Data-Centric Architecture in the Automotive Industry

Daniel Alvarez-Coello, Daniel Wilms, Adnan Bekan, Jorge Marx Gómez
2021 Procedia Computer Science  
Several enterprises from different domains are currently focusing on improving their data architectures by re-defining the underlying data models to enable core support for analytics and artificial intelligence  ...  Several enterprises from different domains are currently focusing on improving their data architectures by re-defining the underlying data models to enable core support for analytics and artificial intelligence  ...  We believe that the cornerstones of a modern data architecture for automotive presented in this paper can be applied to facilitate the transformation.  ... 
doi:10.1016/j.procs.2021.01.215 fatcat:q45i2hyrfzajplxttipwrahsbi

Data Analytics in CRM Processes: A Literature Review

Pāvels Gončarovs
2017 Information Technology and Management Science  
The paper aims at analysing some of the different analytics methods and tools which can be used for continuous improvement of CRM processes.  ...  The current challenge is effective utilisation of these data in CRM processes and selection of appropriate data analytics techniques. Data analytics techniques help find hidden patterns in data.  ...  Finance, Decision Sciences, Mathematics and Materials Science were selected;  only articles clearly describing usage of data analytics techniques in CRM processes were selected;  unpublished working  ... 
doi:10.1515/itms-2017-0018 fatcat:mbrdmqmpknd6bd7mycewyrfqta

Towards an Open (Data) Science Analytics-Hub for Reproducible Multi-Model Climate Analysis at Scale

Sandro Fiore, Donatello Elia, Cosimo Palazzo, Alessandro D'Anca, Fabrizio Antonio, Dean N. Williams, Ian Foster, Giovanni Aloisio
2018 Zenodo  
Presentation of the paper "Towards an Open (Data) Science Analytics-Hub for Reproducible Multi-Model Climate Analysis at Scale" at the IEEE BigData2018 Conference (Seattle, WA, USA)  ...  • synchronizes the local copy of the data with the ESGF remote repositories model-centric level variable-centric level • Open (Data) Science-ready environments -Code and research results  ...  addressing fast and big data challenges for eScience It provides: -support for declara@ve, parallel, server-side data analysis exploi@ng parallel compu@ng techniques and database approaches -end-to-end  ... 
doi:10.5281/zenodo.2529825 fatcat:dzrithbmrngfzasxh6wxjbiqea

IT Service Management Automation – An Automation Centric Approach Leveraging Configuration Control, Audit Verification and Process Analytics [chapter]

Naga Ayachitula, Melissa Buco, Yixin Diao, Bradford Fisher, David Loewenstern, Chris Ward
2007 Lecture Notes in Computer Science  
In this paper we propose a conceptual methodology for IT service management process automation in the area of configuration control, audit verification, and process analytics.  ...  People, processes, technology and information are the service provider's resources for delivering IT services.  ...  Automation Centric Remediation Leveraging Configuration Control, Audit and Remediation and Process Analytics The proposed methodology calls for using the IT complexity modeling tool to determine in a given  ... 
doi:10.1007/978-3-540-75694-1_19 fatcat:lt746ecvujee7mgmp4r6nqhpeq

Analysis of Customer Behavior in Online Retail Marketplace Using Hadoop

Garima Shrivastava, Shailesh Shrivastava
2017 International Journal of Innovative Research in Computer Science & Technology  
Retailers interact with customers across multiple channels, yet customer interaction and purchase data is often isolated in data siloes.  ...  To provide a modernized technology foundation for transforming the retail experience, retail CIOs and IT leaders need to support the "seven Cs" of customer interaction: connected, continuous, convenient  ...  BIGDATA USECASES FOR TRANSFORMING BUSINESS There are several use cases for big data analytics in retail, because of opportunities for analysis, and will affect how the information is technically processed  ... 
doi:10.21276/ijircst.2017.5.5.3 fatcat:xwqi5lxxjfhpdavy7tlyxliana

Cloud Based Big Data Infrastructure: Architectural Components And Automated Provisioning

Yuri Demchenko, Fatih Turkmen, Christophe Blanchet, Charles Loomis, Caees de Laat
2016 Zenodo  
the following components of the Big Data technologies: Big Data definition, Data Management including data lifecycle and data structures, Big Data Infrastructure (generically cloud based), Data Analytics  ...  technologies and platforms, and Big Data security, compliance and privacy.  ...  Léon Bérard, Lyon, France) and Thomas Lacroix (IFB-MIGALE, Jouy-en-Josas, France).  ... 
doi:10.5281/zenodo.59159 fatcat:yxvau4m65vgkffgwwmy7nwrdmy
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