Search results for "Big Data"
showing 10 items of 311 documents
Kyberturvallisuuden ja big data-analyysin tutkimus ja opetus
2014
Big datan hyödyt moderneissa verkko-oppimisympäristöissä
2018
Opiskelu verkko-oppimisympäristöissä on lisääntynyt yhä enemmän viime vuosina. Samaan aikaan opiskelumuodon murros on esittänyt uusia haasteita oppilaitoksille: kuinka integroida tehokkaasti tätä uutta teknologiaa osaksi opettamista? Eräänä ratkaisuna ongelmaan on esitelty oppimisen analytiikka, jossa verkko-oppimisympäristöt käyttävät big dataa osana oppimisen ja opettamisen tehostamista. Tutkielmassa esitellään eri tapoja hyödyntää big dataa osana opetusta ja oppimista, arvioidaan niiden hyötyjä ja verrataan niitä perinteisen verkko-oppimisen esittämiin haasteisiin. Tuloksina ilmaantui kolme päätapaa käyttää big dataa osana verkko-oppimisympäristöjä: datan visualisaatio ja ennusteet, suos…
Yksityisyys ja yksityisyyden suojaaminen big datan aikakaudella : teknologinen näkökulma
2015
Elämme tiedon aikakautta – teknologian kehityksen myötä sekä digitaalisesta että analogisesta maailmasta kertyvien tietojen määrä on kasvanut eksponentiaalisesti viime vuosien aikana. Big data mahdollistaa monia koko yhteiskuntaa hyödyttäviä etuja aina kilpailukyvyn parantamisesta kehittyneempään terveydenhuoltoon. Massiivisen tietojen keräämisen ja analysoinnin on kuitenkin pelätty kaventavan yksityisyyden suojaa. Tässä kirjallisuuskatsaukseen pohjautuvassa tutkielmassa perehdyttiin yksityisyyttä, big dataa, massadataanalytiikkaa sekä yksityisyyden suojaamiseen käytettäviä teknisiä menetelmiä käsittelevään kirjallisuuteen. Tutkielman tarkoituksena oli selvittää millaisia yksityisyyteen koh…
Blockchain Disrupting Fintech and the Banking System
2021
Nowadays society is profoundly changed by technology, velocity and productivity. While individuals are not yet prepared for holographic connection with banks or financial institutions, other innovative technologies have been adopted. Lately, a new world has been launched, personalized and adapted to reality. It has emerged and started to govern almost all daily activities due to the five key elements that are foundations of the technology: machine to machine (M2M), internet of things (IoT), big data, machine learning and artificial intelligence (AI). Competitive innovations are now on the market, helping with the connection between investors and borrowers—notably crowdfunding and peer-to-pe…
A Trust-Based Crowdfunding Campaign Marketing Framework: Theoretical Underpinnings and Big-Data Analytics Practice
2021
How to start with big data - a multiple case study
2018
Building Information Modeling (BIM) Enabled Facilities Management Using Hadoop Architecture
2017
International audience; Protecting the safety of occupants and the environment is a core value within Facilities Management. Data acquisition systems such as wireless sensor networks can help to monitor facilities to reduce hazards such as fire, water flooding and burglaries. Building Information Modeling (BIM) is a revolutionary development that is reshaping the Architecture Engineering and Construction (AEC) industry. BIM is both a process and a technology, offers wide solutions for facilities management. In order to monitor and manage facilities data in a BIM based simulated environment, this work reports upon a development of a system that uses BIM software and a wireless sensor technol…
Data lakes in business intelligence: reporting from the trenches
2018
Abstract The data lake approach has emerged as a promising way to handle large volumes of structured and unstructured data. This big data technology enables enterprises to profoundly improve their Business Intelligence. However, there is a lack of empirical studies on the use of the data lake approach in enterprises. This paper provides the results of an exploratory study designed to improve the understanding of the use of the data lake approach in enterprises. I interviewed 12 experts who had implemented this approach in various enterprises and identified three important purposes of implementing data lakes: (1) as staging areas or sources for data warehouses, (2) as a platform for experime…
Prediction of Disease–lncRNA Associations via Machine Learning and Big Data Approaches
2021
This chapter introduces long non-coding RNAs and their role in the occurrence and progress of diseases. The discovery of novel lncRNA-disease associations may provide valuable input to the understanding of disease mechanisms at the lncRNA level, as well as to the detection of biomarkers for disease diagnosis, treatment, prognosis, and prevention. Unfortunately, due to costs and time complexity, the number of possible disease-related lncRNAs verified by traditional biological experiments is very limited. Computational approaches for the prediction of potential disease-lncRNA associations can effectively decrease the time and cost of biological experiments. We first review the main computatio…
Big Data Metadata Management in Smart Grids
2014
Smart home, smart grids, smart museum, smart cities, etc. are making the vision for living in smart environments come true. These smart environments are built based upon the Internet of Things paradigm where many devices and applications are involved. In these environments, data are collected from various sources in diverse formats. The data are then processed by different intelligent systems with the purpose of providing efficient system planning, power delivery, and customer operations. Even though there are known technologies for most of these smart environments, putting them together to make intelligent and context-aware systems is not an easy task. The reason is that there are semantic…