標題: Titlebook: Advances in Databases and Information Systems; 28th European Confer Joe Tekli,Johann Gamper,Yannis Manolopoulos Conference proceedings 2024 [打印本頁] 作者: stripper 時間: 2025-3-21 17:31
書目名稱Advances in Databases and Information Systems影響因子(影響力)
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書目名稱Advances in Databases and Information Systems網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Advances in Databases and Information Systems被引頻次
書目名稱Advances in Databases and Information Systems被引頻次學(xué)科排名
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書目名稱Advances in Databases and Information Systems讀者反饋
書目名稱Advances in Databases and Information Systems讀者反饋學(xué)科排名
作者: DEFER 時間: 2025-3-21 23:10 作者: 使高興 時間: 2025-3-22 02:07
Evaluating a Temporal Relational Algebra Supporting Preferences in Temporal Relational Databases faced yet. In several tasks and applications (e.g., planning, scheduling, workflows, guidelines), the exact time of occurrence of facts is not known (i.e., time is .), and preferences can be assigned to the different temporal possibilities. In a recent paper, we have laid the theoretical basis of t作者: 精密 時間: 2025-3-22 06:12
PG-FD: Mapping Functional Dependencies to?the?Future Property Graph Schema Standard to the role SQL plays in relational data querying. Although this goal is still a work in progress, the graph database community has been advancing by not only defining the GQL specification but also introducing additional specifications such as Property Graph Key, PG-Key, and later Property Graph S作者: follicle 時間: 2025-3-22 09:53
Generating SPARQL Queries for?Data Discovery the data for a specific need is time-consuming. This paper presents an approach that identifies and extracts the relevant portion of RDF data sources for some application requirements described by a target schema. The identification process is based on a semi-supervised learning algorithm that iter作者: BROOK 時間: 2025-3-22 15:50
A Recursive Approach for?Maximal (,)-Clique Enumeration in?Temporal Networks, social networks, human contact networks, financial transaction networks, etc.) are time-varying in nature, i.e., the relationship changes over time. Such networks are often modeled as Temporal Networks. In this paper, we study the problem of enumerating cohesive substructures present in a given te作者: Ordeal 時間: 2025-3-22 19:12 作者: ALLEY 時間: 2025-3-23 00:22
Amethyst - A Generalized on-the-Fly De/Re-compression Framework to?Accelerate Data-Intensive Integernal function on every (un)compressed input format and to output the result in an arbitrary (un)compressed format. Thus, our on-the-fly de/re-compression framework approach automatically conducts a decompression on the input side and compression on the output side. To show the feasibility and applica作者: insecticide 時間: 2025-3-23 05:12 作者: 武器 時間: 2025-3-23 09:30 作者: Ingenuity 時間: 2025-3-23 12:21 作者: FIN 時間: 2025-3-23 15:42 作者: LIEN 時間: 2025-3-23 20:36 作者: 使糾纏 時間: 2025-3-24 01:08 作者: 分開如此和諧 時間: 2025-3-24 02:46
The Physiology of Executive Functioning exhaustive evaluation results using a great variety of data-intensive operations ranging from simple additions up to compaction and compute-intensive matrix multiplications to validate the efficiency of ..作者: 生氣的邊緣 時間: 2025-3-24 10:25 作者: 認為 時間: 2025-3-24 14:27 作者: 謊言 時間: 2025-3-24 18:17 作者: 贊美者 時間: 2025-3-24 22:22
Formalising Evolutionary Theorycond contribution is a solution for translating dependencies defined within such proposals into dependencies that conform to PG-Schema. Our solution is accompanied by a working prototype for translating graph dependencies into PG-Schema compliant dependencies.作者: 兇殘 時間: 2025-3-25 00:33 作者: 弓箭 時間: 2025-3-25 04:40 作者: Serenity 時間: 2025-3-25 08:06 作者: SLAY 時間: 2025-3-25 14:55 作者: JOG 時間: 2025-3-25 18:22 作者: ATRIA 時間: 2025-3-25 23:18
Enhancing Machine Learning Capabilities in?Data Lakes with?AutoML and?LLMsor wrapping AutoML libraries, and a module that leverages LLMs for AutoML. Finally, we undertake a comparative analysis between the performance of AutoML and LLMs in four challenging real-world use cases from the domain of chemistry, each presenting a distinct type of ML problem.作者: 考得 時間: 2025-3-26 01:24
0302-9743 t 28-31, 2024...The 15 full papers presented were carefully reviewed and selected from 43 submissions.?The conference focuses on?Algebra, Models, Schemata,?Discovery and Data Analysis,?Algorithms and Optimization,?Access Methods and Query Processing,?Advanced Architectures,?Machine Learning,?Large L作者: catagen 時間: 2025-3-26 07:09
Conference proceedings 2024024...The 15 full papers presented were carefully reviewed and selected from 43 submissions.?The conference focuses on?Algebra, Models, Schemata,?Discovery and Data Analysis,?Algorithms and Optimization,?Access Methods and Query Processing,?Advanced Architectures,?Machine Learning,?Large Language Mo作者: Arable 時間: 2025-3-26 09:29 作者: arcane 時間: 2025-3-26 14:40 作者: laxative 時間: 2025-3-26 20:47
Coordination-Free Replicated Datalog Streams with?Application-Specific Availabilitydistributed program is coordination free and eventual consistent. To achieve this, we augment the Datalog program with a composite CRDT (Conflict-free Replicated Data Type). We have implemented a prototype and run experiments to study the performance characteristics of the approach.作者: debase 時間: 2025-3-26 23:23
0302-9743 mata,?Discovery and Data Analysis,?Algorithms and Optimization,?Access Methods and Query Processing,?Advanced Architectures,?Machine Learning,?Large Language Models..978-3-031-70628-8978-3-031-70626-4Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: Nuance 時間: 2025-3-27 05:01
Cheyenne L. Laue,Alden H. Wrighton these evidences, we present JSON Model, an alternative to previous proposals which is both lightweight and featureful, discuss key design choices, its efficient implementation, and its integration into OpenAPI.作者: erythema 時間: 2025-3-27 09:18 作者: cogent 時間: 2025-3-27 13:23 作者: 發(fā)怨言 時間: 2025-3-27 17:09
Advances in Databases and Information Systems978-3-031-70626-4Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 使習(xí)慣于 時間: 2025-3-27 20:59
Cheyenne L. Laue,Alden H. Wrightd verify values. Three JSON-based schema description languages have been proposed for JSON so far: JSON Schema, JSound and JSound-C. These languages are verbose and use a lax validation semantics: 60% of public schemas have been found defective because JSON Schema is particularly error-prone. Based 作者: Meditate 時間: 2025-3-28 01:13 作者: intricacy 時間: 2025-3-28 02:35
Cheyenne L. Laue,Alden H. Wright faced yet. In several tasks and applications (e.g., planning, scheduling, workflows, guidelines), the exact time of occurrence of facts is not known (i.e., time is .), and preferences can be assigned to the different temporal possibilities. In a recent paper, we have laid the theoretical basis of t作者: Diuretic 時間: 2025-3-28 08:59
Formalising Evolutionary Theory to the role SQL plays in relational data querying. Although this goal is still a work in progress, the graph database community has been advancing by not only defining the GQL specification but also introducing additional specifications such as Property Graph Key, PG-Key, and later Property Graph S作者: 付出 時間: 2025-3-28 11:42
Formalising Evolutionary Theory the data for a specific need is time-consuming. This paper presents an approach that identifies and extracts the relevant portion of RDF data sources for some application requirements described by a target schema. The identification process is based on a semi-supervised learning algorithm that iter作者: Fantasy 時間: 2025-3-28 15:28
Formalising Evolutionary Theory, social networks, human contact networks, financial transaction networks, etc.) are time-varying in nature, i.e., the relationship changes over time. Such networks are often modeled as Temporal Networks. In this paper, we study the problem of enumerating cohesive substructures present in a given te作者: cortisol 時間: 2025-3-28 19:37 作者: Fresco 時間: 2025-3-29 00:07 作者: diskitis 時間: 2025-3-29 03:31
Executive Functioning Theory and ADHDability under syntactic transformations, where two columns are not equi-joinable but can become equi-joinable after some transformations. Discovering those transformations is a challenge because of the large space of possible candidates, which grows with the input length and the number of rows. Our 作者: urethritis 時間: 2025-3-29 09:05 作者: obtuse 時間: 2025-3-29 13:28 作者: Seizure 時間: 2025-3-29 18:28
Davide Cenadelli,Andrea Bernagozzinstance, data processing systems already shifted from disk-oriented to main memory-oriented architectures to efficiently exploit the ever-increasing capacities of main memory. A prominent example for such new developments are emerging memory technologies such as very large caches, high-bandwidth mem作者: PURG 時間: 2025-3-29 23:21
Handbook of Experimental Structural Dynamicsus datasets and prepare them for machine learning (ML). However, current data lakes lack mature capabilities to support ML requirements. AutoML is the process of automating the end-to-end application of ML to real-world problems. Large Language Models (LLMs) can potentially increase ML pipeline auto作者: Inordinate 時間: 2025-3-30 01:24 作者: 佛刊 時間: 2025-3-30 05:35
https://doi.org/10.1007/978-3-031-70626-4DISCOVERY AND DATA ANALYSIS; ALGORITHMS AND OPTIMIZATION; ACCESS METHODS AND QUERY PROCESSING; ADVANCED