データベースクエリにおけるパラメータの重要性とその計算複雑性
データベースクエリのパラメータが結果に与える影響を定量化するために、ゲーム理論に基づくShapley値を用いてパラメータの重要度を測定する方法を提案する。
EHR 데이터 조화 플랫폼: recodeflow 기반 Shiny 앱을 이용한 임상 특징 조화 및 도출
본 논문에서는 여러 연구팀이 EHR 데이터를 이용한 재현 가능한 연구와 오픈 사이언스를 지원하기 위해 recodeflow 기반 Shiny 앱인 EHR 데이터 조화 플랫폼을 소개하고, 플랫폼의 활용 사례와 주요 기능을 제시합니다.
EHRsデータハーモナイゼーションプラットフォーム：recodeflowに基づく、臨床的特徴のハーモナイゼーションと導出のための使いやすいShinyアプリ
EHRsデータハーモナイゼーションプラットフォームは、複数のEHRデータソースからのデータの標準化と共有を容易にすることで、再現可能な研究とオープンサイエンスをサポートする使いやすいShinyアプリです。
EHRs Data Harmonization Platform: A Shiny App for Standardizing Electronic Health Records using recodeflow
This paper introduces a new open-source platform designed to simplify and standardize the complex process of extracting, harmonizing, and deriving research-ready variables from disparate Electronic Health Records (EHRs).
Galactica: A Simulation Database for Open Science in Astrophysics
Galactica is an open-source platform designed to facilitate the sharing and reuse of astrophysics simulation data, promoting open science practices within the field.
Comparing Lua API Elegance and Raw Speed in Redis and YottaDB Using a 3n+1 Sequence Benchmark
While both Redis and YottaDB offer Lua APIs for database interaction, YottaDB's approach, particularly its in-process data sharing and elegant transaction handling, results in significantly faster performance, as demonstrated by a 3n+1 sequence benchmark.
Dirigo: A Design Science Approach to Extracting High-Quality Object-Centric Event Logs Using Object-Role Modeling
This paper proposes Dirigo, a novel method for extracting high-quality object-centric event logs (OCEL) that conform to the OCEL 2.0 standard, leveraging Object-Role Modeling (ORM) for conceptual clarity and addressing limitations of existing extraction methods.
데이터 마켓에 대한 포괄적인 조사
데이터 마켓은 데이터 상품의 가치를 극대화하기 위해 데이터 소유자, 구매자, 브로커 및 정책 입안자 등 다양한 주체가 상호 작용하는 복잡한 생태계입니다.
Efficiently Finding Joinable Spatial Datasets Across Multiple Sources: Addressing Overlap, Coverage, and Efficiency
This research paper introduces two novel spatial joinable search problems, Overlap Joinable Search Problem (OJSP) and Coverage Joinable Search Problem (CJSP), and proposes an efficient distributed framework with a new index structure, DITS, to solve them across multiple data sources.
Ultraverse: A System for Faster What-If Analysis in Database-Driven Web Applications
Ultraverse is a novel framework that accelerates what-if analysis in database-intensive web applications by combining application and database layers, using dynamic symbolic execution for code translation, and employing query dependency analysis for efficient replay.
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