Search results for "Big data"
showing 10 items of 311 documents
Secrets to design an effective message on Facebook: an application to a touristic destination based on big data analysis
2018
The objective of this research is to identify which are the key variables for designing a message in a social network that can be used by an advertiser to generate Positive/Negative Engagement. The...
2018
Epigenetic features such as histone and DNA modifications are important mechanisms for the regulation of gene expression and for cell and tissue development. As a result, extensive efforts are currently undertaken using next-generation sequencing (NGS) to generate vast amounts of data regarding the epigenetic regulation of genomes. Several tools and frameworks for the processing of these NGS data have been developed in the last decade. Nevertheless, each user still bares the challenge to integrate all these tasks to perform the analysis. This procedure is not only tedious but also resource-intensive due to the putative large processing power involved. To automate, standardize and speed up t…
Incorporating big microdata in life table construction: A hypothesis-free estimator
2019
Abstract The IT revolution, now more than ever, offers a cheaper and faster way to collect, store, transmit and process data. Detailed microdata of dates of death, migration and birth are already becoming available for general populations. In this paper, we develop within the family of period-based estimators a new, assumption-free estimator for constructing life tables. The estimator proposed exploits all the detailed data available and is free of the theoretical inconsistencies that the estimators currently used by most official statistical agencies have. We compute the proposed estimator for a real database and test the suitability of the hypotheses on which the estimators used so far re…
The Power of Word-Frequency Based Alignment-Free Functions: a Comprehensive Large-Scale Experimental Analysis
2021
Abstract Motivation Alignment-free (AF) distance/similarity functions are a key tool for sequence analysis. Experimental studies on real datasets abound and, to some extent, there are also studies regarding their control of false positive rate (Type I error). However, assessment of their power, i.e. their ability to identify true similarity, has been limited to some members of the D2 family. The corresponding experimental studies have concentrated on short sequences, a scenario no longer adequate for current applications, where sequence lengths may vary considerably. Such a State of the Art is methodologically problematic, since information regarding a key feature such as power is either mi…
Contributed discussion on article by Pratola
2016
The author should be commended for his outstanding contribution to the literature on Bayesian regression tree models. The author introduces three innovative sampling approaches which allow for efficient traversal of the model space. In this response, we add a fourth alternative.
Stream processing in Big Data for e-health care
2019
In this chapter, we will present the stream processing and batch processing. Besides, we will conduct a qualitative comparison of the most popular data processing systems, namely Storm and Spark streaming. We will describe their respective underlying bases and the functionalities they provide and discuss how they can be introduced into e-health care analysis programs.
On Metadata Support for Integrating Evolving Heterogeneous Data Sources
2019
With the emergence of big data technologies, the problem of structure evolution of integrated heterogeneous data sources has become extremely topical due to dynamic and diverse nature of big data. To solve the big data evolution problem, we propose an architecture that allows to store and process structured and unstructured data at different levels of detail, analyze them using OLAP capabilities and semi-automatically manage changes in requirements and data expansion. In this paper, we concentrate on the metadata essential for the operation of the proposed architecture. We propose a metadata model to describe schemata and supplementary properties of data sets extracted from sources and tran…
Leveraging Education Sector Using Cognitive Big Data for the Recruitment Process and Sustainable Development
2019
Nowadays, we are not confined to traditional education. We are on the verge to make our education system more job oriented by providing various vocational trainings to our students. The various universities and higher education are facing the problem of inadequate placement. Even the job providers have to quell ample amount of time to judge the potential candidates. The right placement is a challenge for both the recruiters and the candidates. The cognitive science and big data can untangle the conundrum. The main goal of this paper proposal can be stated as: To display the appropriate job offer from the job provider, select the perfect profile for the job at the right place at the right ti…
Il consenso nel mercato dei dati personali: considerazioni al tempo dei big data
2022
Sullo sfondo della disciplina europea della tutela dei dati personali, il saggio esamina il rilievo dell’autodeterminazione individuale dell’utente al loro trattamento, al cospetto di fenomeni di rilievo economico, quali la crescente diffusione dei big data analytics e il loro utilizzo per la profilazione degli utenti nella cornice del capitalismo della sorveglianza. La “tenuta” della centralità del consenso, testimoniata dalla individuazione degli attributi del consenso nel GDPR e dall’affermazione pretoria del modello dell’opt-in, non argina la transizione verso un’autodeterminazione sempre più “economica”, che sollecita una regolazione europea più attenta a cogliere le peculiarità della …
El papel de la orientación al dato en la transformación digital de las empresas: Lecciones aprendidas de un estudio descriptivo
2023
En este cuaderno de trabajo se presenta un análisis del grado de transformación digital de 183 empresas que ya están inmersas en este proceso de cambio organizativo integral. Igualmente se describe el grado de orientación al dato de la persona que lidera el proceso de trasformación digital de la organización. La orientación al dato es un enfoque que enfatiza la importancia de recopilar y analizar datos para desarrollar ideas y conocimientos. Entendida como cualidad de las personas en puestos de dirección, la orientación al dato se define como la competencia para tomar decisiones eficaces basadas en la capacidad de la organización de obtener información de forma rápida y eficaz sobre el rend…