Search results for "Big data"
showing 10 items of 311 documents
A roadmap towards improving managed security services from a privacy perspective
2014
Published version of an article in the journal: Ethics and Information Technology. Also available from the publisher at: http://dx.doi.org/10.1007/s10676-014-9348-3 This paper proposes a roadmap for how privacy leakages from outsourced managed security services using intrusion detection systems can be controlled. The paper first analyses the risk of leaking private or confidential information from signature-based intrusion detection systems. It then discusses how the situation can be improved by developing adequate privacy enforcement methods and privacy leakage metrics in order to control and reduce the leakage of private and confidential information over time. Such metrics should allow fo…
Exploring the relationship between big data analytics capability and competitive performance : The mediating roles of dynamic and operational capabil…
2020
A central question for information systems (IS) researchers and practitioners is if, and how, big data can help attain a competitive advantage. To address this question, this study draws on the resource-based view, dynamic capabilities view, and on recent literature on big data analytics, and examines the indirect relationship between a firm’s big data analytics capability (BDAC) and competitive performance. The study extends existing research by proposing that BDACs enable firms to generate insight that can help strengthen their dynamic capabilities, which, in turn, positively impact marketing and technological capabilities. To test our proposed research model, we used survey data from 202…
Big data and business analytics: A research agenda for realizing business value
2020
Author's accepted version (post-print). Available from 19/11/2022.
Organizāciju cilvēkresursu analītikas attīstības līmenis Eiropā
2018
Cilvēkresursu analītika, kas operē ar datiem lēmumu pieņemšanas procesos, visā pasaulē kļuva par aktuālu tematu. Bakalaura darba mērķis ir izpētīt Eiropas cilvēkresursu analītikas attīstības līmeni un sniegt ieteikumus organizācijām, cilvēkresursu speciālistiem un akadēmiskām iestādēm, lai veiksmīgi ievest cilvēkresursu analītiku. Pētījuma pamatā ir kvalitatīvi dati, kuri tika iegūti intervējot četrus cilvēkresursu speciālistus. Secināts, ka ir būtiska vajadzība pēc cilvēkresursu analītikas un intervētiem organizāciju pārstāvjiem šī tēma ir pazīstama. Galvenais izaicinājums ir saistīts ar profesionālo prasmju trūkumu, tomēr nākotnei cilvēkresursu analītikas cerības ir pozitīvas.
Lielapjoma datu vizualizācija
2015
Cilvēkam ir grūti aptvert cik daudz nestrukturēta informācija tiek ģenerēta vienā minūtē, kur nu vēl vienas dienas laikā. Vienas minūtes laikā tiek ģenerēti 250 petabaiti, kas ir apmēram 250 000 terabaitu. Darba mērķis ir sniegt ieskatu lielapjoma datu pasaulē, ko ar lielapjoma datiem ir iespējams paveikt un kā to mēģināt saprast. Darbā ir aprakstīta lielapjoma datu aktualitāte, uzturēšana, analītika un vizualizācija. Kā arī tiek pētīti dati par Paula Stradiņa klīniskās universitātes slimnīcas kardioloģijas nodaļas pacientiem pēdējo 10 gadu laikā. Pateicoties vizualizācijām, tiek konstatēts, ka mūsdienu stereotipiskā domāšana ne vienmēr ir pareiza. Vizualizācijas parāda galvenos sirds un as…
The Role of Big Data in Addressing Societal Challenges: A Systematic Mapping Study
2019
Part 2: Big Data Analytics; International audience; Big data has recently become the focus of academic and corporate investigation due to its high potential in generating business and social value. We have done a systematic mapping of the literature related to big data and its applications leading to social change through the lens of social innovation. The search strategy initially resulted in 593 papers, and after applying inclusion exclusion criteria a total of 156 papers were mapped; 59% of which were identified as empirical studies. This mapping investigated the publication frequency of the studies, research approach and contributions, research areas and article distribution per journal…
Business continuity of business models : Evaluating the resilience of business models for contingencies
2019
Company business models are vulnerable to various contingencies in the business environment that may unexpectedly render their business logic ineffective. In particular, technological advancements, such as the Internet of things, big data, sharing economy and crowdsourcing, have enabled new forms of business models that can effectively and abruptly make traditional business models obsolete. By disrupting or even diminishing companies’ revenue streams, environmental contingencies may present a significant threat to business continuity (BC). Evaluating the resilience of business models against these contingencies should therefore be a core area of BC. However, existing BC approaches tend to f…
BEGIN: Big Data Enabled Energy-Efficient Vehicular Edge Computing
2018
Vehicular edge computing is essential to support future emerging multimedia-rich and delay-sensitive applications in vehicular networks. However, the massive deployment of edge computing infrastructures induces new problems including energy consumption and carbon pollution. This motivates us to develop BEGIN (Big data enabled EnerGy-efficient vehIcular edge computiNg), a programmable, scalable, and flexible framework for integrating big data analytics with vehicular edge computing. In this article, we first present a comprehensive literature review. Then the overall design principle of BEGIN is described with an emphasis on computing domain and data domain convergence. In the next section, …
Big data ja analytiikka terveydenhuollossa
2016
Elämme datakeskeisessä maailmassa, jossa uutta digitaalista sisältöä syntyy jo muutamissa sekunneissa uskomattomia määriä. Yritykset ja organisaatiot pyrkivät analysoimaan tätä massiivista, monimuotoista ja nopeasti kasvavaa Big Dataa toimiakseen paremmin ja tehokkaammin sekä saadakseen parempaa ymmärrystä omasta toiminnastaan. Big Data ja analytiikka ovat aihe, jota on tutkittu laajasti myös terveydenhuollon näkökulmasta. Terveydenhuolto on yksi toimialoista, joka voi hyötyä Big Datasta ja siihen kohdistuvasta analytiikasta huomattavasti. Tässä tutkielmassa kysytään kuinka analytiikka on kehittynyt ja mihin suuntaan se on kehittymässä. Kysymykseen vastataan tutustumalla liiketoimintatiedon…
RNACache: Fast Mapping of RNA-Seq Reads to Transcriptomes Using MinHashing
2021
The alignment of reads to a transcriptome is an important initial step in a variety of bioinformatics RNA-seq pipelines. As traditional alignment-based tools suffer from high runtimes, alternative, alignment-free methods have recently gained increasing importance. We present a novel approach to the detection of local similarities between transcriptomes and RNA-seq reads based on context-aware minhashing. We introduce RNACache, a three-step processing pipeline consisting of minhashing of k-mers, match-based (online) filtering, and coverage-based filtering in order to identify truly expressed transcript isoforms. Our performance evaluation shows that RNACache produces transcriptomic mappings …