Spark Streaming for Predictive Business Intelligence

Autor:	R.Roopa Chandrika, Anantha Raman G R, A. Mummoorthy, N.S.Gowri Ganesh
Rok vydání:	2019
Předmět:	Data processing business.industry Event (computing) Computer science Process (computing) Process mining Append Work in process computer.software_genre Business intelligence Spark (mathematics) Data mining business computer
Zdroj:	2019 International Conference on Emerging Trends in Science and Engineering (ICESE).
DOI:	10.1109/icese46178.2019.9194677
Popis:	Apache spark can process the data in real time with the test mining and natural language processing. The business intelligence can be improved by collecting and processing the data from web in real time. Process mining collects the data from event logs in process discovery. Then diagnosis the difference between the observed and reality through an event logs. And extended the data of the event. Dealing with huge data process mining finds difficulty in processing. Spark handles the data processing speed and real time. It receives the input data and segregated into batches put up in processing. The incoming data append into the already existing data for processing. It identifies the problems and quick report generation of processing data.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::716c150621b8549a0c9548b291f4b4d3 https://doi.org/10.1109/icese46178.2019.9194677 Zobrazit plný text záznamu