Naslov
Reducing data stream complexity by applying Count-Min algorithm and discretization procedure

Autori
Sisovic, Sabina ; Brkic Bakaric, Marija ; Matetic, Maja

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
2018 IEEE Fourth International Conference on Big Data Computing Service and Applications / - : IEEE Computer Society - Conference Publishing Services, 2018, 221-228

ISBN
978-1-5386-5119-3

Skup
2018 IEEE 4th International Conference on Big Data Computing Service and Applications (BigDataService 2018)

Mjesto i datum
Bamberg, Njemačka, 26.03.2018. - 29.03.2018

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
data reducing ; sketching ; Count-Min ; discretization ; data streams ; sensor data

Sažetak
This paper is a preliminary report on the efficiency of two strategies of data reduction in a data preprocessing stage. In the first experiment, we apply the Count-Min sketching algorithm, while in the second experiment we discretize our data prior to applying the Count-Min algorithm. By conducting a discretization before sketching, the need for the increased number of buckets in sketching is reduced. This preliminary attempt of combining two methods with the same purpose has shown potential. In our experiments, we use sensor data collected to study the environmental fluctuation and its impact on the quality of fresh peaches and nectarines in cold chain.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Informacijske i komunikacijske znanosti

POVEZANOST RADA