Pregled bibliografske jedinice broj: 974080
Implementation of Hashing Algorithms in Stream Mining
Implementation of Hashing Algorithms in Stream Mining // Proceedings of International Conference on Smart Systems and Technologies 2018 (SST)
Osijek: Fakultet elektrotehnike, računarstva i informacijskih tehnologija Sveučilišta Josipa Jurja Strossmayera u Osijeku, 2018. str. 233-238 doi:10.1109/SST.2018.8564602 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 974080 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Implementation of Hashing Algorithms in Stream Mining
Autori
Muškardin, Edi ; Brkić Bakarić, Marija ; Matetić, Maja
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of International Conference on Smart Systems and Technologies 2018 (SST)
/ - Osijek : Fakultet elektrotehnike, računarstva i informacijskih tehnologija Sveučilišta Josipa Jurja Strossmayera u Osijeku, 2018, 233-238
ISBN
978-1-5386-7189-4
Skup
International Conference on Smart Systems and Technologies 2018 (SST 2018)
Mjesto i datum
Osijek, Hrvatska, 10.10.2018. - 12.10.2018
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Count-Min, cold chain, hashing
Sažetak
Artificial intelligence in food logistics has shown potential to substitute the First In First Out approach with much more promising First Expiring First Out approach. However, the shelf life prediction might be hindered by the amount of storage needed and by the amount of processing time elapsed between an event and appropriate system response. We use the data structure Count-Min (CM) sketch for approximating frequencies of critical ambient parameters (CAPs) in the cold-chain of peaches and nectarines. The CM sketch supports fast updates, but it also supports a trade-off between compression and error. This is important in the cold-chain setting because of the limited storage space in sensor nodes, but also because transmitting each sensed value increases energy consumption and introduces delays. In order to assess the trade-off between memory consumption and information loss, the actual values of CAPs with their estimates in various parameter settings are presented graphically. The estimates are obtained by querying the point estimator with the original dataset values. Errors are computed as differences between actual values and their estimates, and scaled by the number of instances.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo, Informacijske i komunikacijske znanosti
POVEZANOST RADA
Ustanove:
Fakultet informatike i digitalnih tehnologija, Rijeka
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Conference Proceedings Citation Index - Science (CPCI-S)
- Scopus