dc.creator | Andresic D., Saloun P., Anagnostopoulos I. | en |
dc.date.accessioned | 2023-01-31T07:31:35Z | |
dc.date.available | 2023-01-31T07:31:35Z | |
dc.date.issued | 2017 | |
dc.identifier | 10.1109/SMAP.2017.8022657 | |
dc.identifier.isbn | 9781538607565 | |
dc.identifier.uri | http://hdl.handle.net/11615/70576 | |
dc.description.abstract | Apache Spark is commonly used as a big data analytical platform on powerful computer clusters, as it primarily employ the main computer memory for the evaluation. Our attempt adds self-organizing map software libraries onto a single big data analytical stack and is efficient and fast enough even on a standard single computer. This innovative approach brings the big data analysis to researchers with limited resources. Our genuine idea was experimentally confirmed and is described here. As a case study for our method we we used the available #Brexit data and the sentiment analysis of corresponding tweets and the correlation with the stock exchange data. © 2017 IEEE. | en |
dc.language.iso | en | en |
dc.source | Proceedings - 12th International Workshop on Semantic and Social Media Adaptation and Personalization, SMAP 2017 | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85031038315&doi=10.1109%2fSMAP.2017.8022657&partnerID=40&md5=a82e92554b65c407fda18644ddf93fb2 | |
dc.subject | Conformal mapping | en |
dc.subject | Data handling | en |
dc.subject | Information analysis | en |
dc.subject | Self organizing maps | en |
dc.subject | Semantics | en |
dc.subject | Social networking (online) | en |
dc.subject | Computer clusters | en |
dc.subject | Computer memory | en |
dc.subject | Innovative approaches | en |
dc.subject | Sentiment analysis | en |
dc.subject | Single computer | en |
dc.subject | Single- machines | en |
dc.subject | Software libraries | en |
dc.subject | Stock exchange | en |
dc.subject | Big data | en |
dc.subject | Institute of Electrical and Electronics Engineers Inc. | en |
dc.title | Efficient big data analysis on a single machine using apache spark and self-organizing map libraries | en |
dc.type | conferenceItem | en |