AIC Databricksプロジェクト
AIC Databricksプロジェクト
昨今，ビジネスにおいてビッグデータを活用する取り組みが広く行われている. 一方で, データ活用のためには相応のデータ基盤が必要になるため, 人材やノウハウの無い企業においてはデータ活用が遅れている. この現状に対し, 企業にデータ活用プラットフォームを提供するサービスが生まれている. 我々は, このようなサービスの1つである, Databricksについて調査し, AICの講習会を行うことを目的に活動している. 本ポスターではこれまで我々が行ってきた調査内容についての発表を行う. 会議名 : AICカンファレンス2023 開催地 : 慶應義塾大学日吉キャンパス 日時 : 2023年3月4日 第2章ポスター発表要旨 ポスター要旨-12
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
selected citations
Citations provided by BIP!
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP! 0
Average
Average
Average
Green