Relational data paradigms: What do we learn by taking the materiality
Although computer scientists typically define databases in terms of the information models supporting the system (e.g., Edgar "Ted" Codd's relational model, or the graph databases of Neo4j or NoSQL systems), users tend to more generously define "database" as any sort of system of data in a computer that is organized for storage and ...
PDF Architecture of a Database System
2. Upon receiving the client's first SQL command, the DBMS must assign a "thread of computation" to the command. It must also make sure that the thread's data and control out-puts are connected via the communications manager to the client. These tasks are the job of the DBMS Process Man-ager (left side of Figure 1.1).
Design methods for the new database era: a systematic ...
Seventeen papers used a known variant of existing conceptual models (ERD, UML class diagram, and EER); two papers used the tabular model (in general, papers that transformed a relational database to a NoSQL database, e.g., ); and two papers proposed new models. Only four papers addressed possible variability between instances of the same type.
Database management system performance comparisons: A systematic
Several database management system performance comparisons have been conducted and published as both vendor white-papers as well as in scientific fora. The approaches and reporting in such studies have been criticized in previous literature. In this study, we systematically surveyed 117 DBMS performance comparison studies.
(PDF) Design and Analysis of a Relational Database for Behavioral
Paper — Design and Analysis of a Relational Database for Behavioral Experiments Data Processing [12] Mallig, N. (2010). A relational database f or bibliometric analysis.
PDF Data Modeling: A Perspective In Changing Database Scenario
at the data modeling element of data science is all about. A data model describes information in a organized way that allows it to be stored and retrieved efficiently in a Relational Database Manag. ment System (RDBMS), such as SQL Server, MySQL, or Oracle. The model can be thought of as a way of translating the logic of precisely relating ...
A Study on Various Database Models: Relational, Graph, and Hybrid
2 Models. A database model provides the logical structure of a database and also determines how data may be stored or organized. The most common one is the relational model. In this section, we are going to talk about two well-known database models, namely relational and graph models.
Object-oriented data models: a perspective and comparative review
This paper reviews the research efforts in the area of object-oriented database modelling. The object-oriented para digm and abstraction mechanisms are briefly discussed. The conceptual schema and data operations in an object-oriented data model are described. Ongoing efforts in creating object- oriented DBMS are classified into three categories.
(PDF) Relational Database Management Systems
A relational database management system (RDBMS) is a. program that allows you to create, update, and administer a. relational database. Generally, RDBMS use the SQL language to access the ...
Conceptual Data Modeling: Entity-Relationship Models as Thinging Machines
[14]. This paper focuses on the conceptual/logical levels of data models. A conceptual data model and a logical data model can be very similar, or even the same, for the same subject area, depending on the approach that is taken with each [10]. Conceptual models are technology independent and can be used
DB-GPT: Large Language Model Meets Database
Large language models (LLMs) have shown superior performance in various areas. And LLMs have the potential to revolutionize data management by serving as the "brain" of next-generation database systems. However, there are several challenges that utilize LLMs to optimize databases. First, it is challenging to provide appropriate prompts (e.g., instructions and demonstration examples) to enable ...
PDF The Design and Implementation of Modern Column-Oriented Database Systems
Database system performance is directly related to the eciency of the system at storing data on primary storage (e.g., disk) and moving it into CPU registers for processing. For this reason, there is a long his-tory in the database community of research exploring physical storage alternatives, including sophisticated indexing, materialized ...
PDF A Relational Model of Data for Large Shared Data Banks
models of the data. In Section 1, inadequacies of these models are discussed. A model based on n-ary relations, a normal form for data base relations, and the concept of a universal data sublanguage are introduced. In Section 2, certain opera- tions on relations (other than logical inference) are discussed
The use of ontologies for effective knowledge modelling and information
3. Ontology-based information retrieval. This section reviews the state of the art in ontology-based database information retrieval. Here, a historical overview of information retrieval approaches is first presented, followed by a detailed analysis of existing ontology-based query systems and data search strategies in relation to three different key aspects that guided the review of such work.
A Literature Review on Evolving Database
The network model, put forth by Charles Bachman in 1969, allows for the arrangement of data in a graph-like structure, with nodes serving as records and arcs as the connections between them. E. F ...
A systematic literature review of authorization and access control
Starting with a research on survey works on authorization and access control in databases, the study continues with the identification and definition of advanced authorization and access control requirements, which are generally applicable to any database model. This paper then discusses and compares current database models based on these ...
PDF The Dataflow Model: A Practical Approach to Balancing Correctness
In this paper, we present one such approach, the Data ow Model1, along with a detailed examination of the semantics it enables, an overview of the core principles that guided its design, and a validation of the model itself via the real-world experiences that led to its development. 1We use the term \Data ow Model" to describe the pro-
Important Papers: Codd and the Relational Model
The relational model was introduced in 1970. Edgar F. Codd, a researcher at IBM, published a paper called "A Relational Model of Data for Large Shared Data Banks.". The paper was a rewrite of a paper he had circulated internally at IBM a year earlier. The paper is unassuming; Codd does not announce in his abstract that he has discovered a ...
Data Science and Analytics: An Overview from Data-Driven Smart
Introduction. We are living in the age of "data science and advanced analytics", where almost everything in our daily lives is digitally recorded as data [].Thus the current electronic world is a wealth of various kinds of data, such as business data, financial data, healthcare data, multimedia data, internet of things (IoT) data, cybersecurity data, social media data, etc [].
[PDF] Untie the Knots: An Efficient Data ...
Untie the Knots (\\textbf{UtK}), a novel data augmentation strategy employed during the continue pre-training phase, designed to efficiently enable LLMs to gain long-context capabilities without the need to modify the existing data mixture is introduced. Large language models (LLM) have prioritized expanding the context window from which models can incorporate more information. However ...
Methodological Challenges when Using Routinely Collected Health Data
Routinely collected health data (RCD) including electronic health records, disease registries, health administrative data and wearables data are not specifically collected for research purposes. Analysis of these data poses unique methodological challenges that must be addressed when conducting research, particularly as availability and use increase. This scoping review aimed to identify ...
[2409.04109] Can LLMs Generate Novel Research Ideas? A Large-Scale
Recent advancements in large language models (LLMs) have sparked optimism about their potential to accelerate scientific discovery, with a growing number of works proposing research agents that autonomously generate and validate new ideas. Despite this, no evaluations have shown that LLM systems can take the very first step of producing novel, expert-level ideas, let alone perform the entire ...
(PDF) Data Modeling and Data Analytics: A Survey from a Big Data
cision support databases and Big Data technologies. In our survey we have researched related works that also. explore and compare these approaches from the data modeling or da ta analytics point ...
Detecting Infectious Disease Based on Social Media Data Using BERT Model
The research paper covers sentiment analysis on textual data from social media where people have vocalized their sentiments or thinking regarding seasonal diseases and seasonal infectious diseases. Influenza, Dengue, Malaria, Japanese Encephalitis, and Chikungunya are the seasonal diseases that have been covered in this research paper.
A comprehensive survey of recent research on profile data analysis
This paper is the first to develop a novel community detection approach for node clustering based on functional factorization, and builds a multi-view directed and weighted network, where each view represents one particular pattern and the factorization coefficient of each O-D path is treated as the weight of this directed edge in this particular view.
Using large language models to generate silicon samples in consumer and
Should consumer researchers employ silicon samples and artificially generated data based on large language models, such as GPT, to mimic human respondents' behavior? In this paper, we review recent research that has compared result patterns from silicon and human samples, finding that results vary considerably across different domains. Based on these results, we present specific ...
Preventing suicide: a public health approach to a global problem
Suicide is prevalent in all countries and is largely preventable. The causes of suicide are multiple and varied. Social determinants of suicide are crucial, but to date these have received insufficient policy attention. This paper, which is the first in a Series on taking a public health approach to suicide prevention, argues for a major change in the way we think about suicide and its prevention.
19024 PDFs
Explore the latest full-text research PDFs, articles, conference papers, preprints and more on DATABASE MANAGEMENT SYSTEMS. Find methods information, sources, references or conduct a literature ...
Next Generation ACO Model (NGACO) Public Use Files
The Next Generation ACO Model is an initiative for ACOs that are experienced in coordinating care for populations of patients. The goal of the Model is to test whether strong financial incentives for ACOs, coupled with tools to support better patient engagement and care management, can improve health outcomes and lower expenditures for Original Medicare fee-for-service (FFS) beneficiaries.
Research on Data Quality Governance for Federated Cooperation Scenarios
Exploring the data quality problems in the context of federated cooperation and adopting corresponding governance countermeasures can facilitate the smooth progress of federated cooperation and obtain high-performance models. However, previous studies have rarely focused on quality issues in federated cooperation. To this end, this paper analyzes the quality problems in the federated ...
COMMENTS
Although computer scientists typically define databases in terms of the information models supporting the system (e.g., Edgar "Ted" Codd's relational model, or the graph databases of Neo4j or NoSQL systems), users tend to more generously define "database" as any sort of system of data in a computer that is organized for storage and ...
2. Upon receiving the client's first SQL command, the DBMS must assign a "thread of computation" to the command. It must also make sure that the thread's data and control out-puts are connected via the communications manager to the client. These tasks are the job of the DBMS Process Man-ager (left side of Figure 1.1).
Seventeen papers used a known variant of existing conceptual models (ERD, UML class diagram, and EER); two papers used the tabular model (in general, papers that transformed a relational database to a NoSQL database, e.g., ); and two papers proposed new models. Only four papers addressed possible variability between instances of the same type.
Several database management system performance comparisons have been conducted and published as both vendor white-papers as well as in scientific fora. The approaches and reporting in such studies have been criticized in previous literature. In this study, we systematically surveyed 117 DBMS performance comparison studies.
Paper — Design and Analysis of a Relational Database for Behavioral Experiments Data Processing [12] Mallig, N. (2010). A relational database f or bibliometric analysis.
at the data modeling element of data science is all about. A data model describes information in a organized way that allows it to be stored and retrieved efficiently in a Relational Database Manag. ment System (RDBMS), such as SQL Server, MySQL, or Oracle. The model can be thought of as a way of translating the logic of precisely relating ...
2 Models. A database model provides the logical structure of a database and also determines how data may be stored or organized. The most common one is the relational model. In this section, we are going to talk about two well-known database models, namely relational and graph models.
This paper reviews the research efforts in the area of object-oriented database modelling. The object-oriented para digm and abstraction mechanisms are briefly discussed. The conceptual schema and data operations in an object-oriented data model are described. Ongoing efforts in creating object- oriented DBMS are classified into three categories.
A relational database management system (RDBMS) is a. program that allows you to create, update, and administer a. relational database. Generally, RDBMS use the SQL language to access the ...
[14]. This paper focuses on the conceptual/logical levels of data models. A conceptual data model and a logical data model can be very similar, or even the same, for the same subject area, depending on the approach that is taken with each [10]. Conceptual models are technology independent and can be used
Large language models (LLMs) have shown superior performance in various areas. And LLMs have the potential to revolutionize data management by serving as the "brain" of next-generation database systems. However, there are several challenges that utilize LLMs to optimize databases. First, it is challenging to provide appropriate prompts (e.g., instructions and demonstration examples) to enable ...
Database system performance is directly related to the eciency of the system at storing data on primary storage (e.g., disk) and moving it into CPU registers for processing. For this reason, there is a long his-tory in the database community of research exploring physical storage alternatives, including sophisticated indexing, materialized ...
models of the data. In Section 1, inadequacies of these models are discussed. A model based on n-ary relations, a normal form for data base relations, and the concept of a universal data sublanguage are introduced. In Section 2, certain opera- tions on relations (other than logical inference) are discussed
3. Ontology-based information retrieval. This section reviews the state of the art in ontology-based database information retrieval. Here, a historical overview of information retrieval approaches is first presented, followed by a detailed analysis of existing ontology-based query systems and data search strategies in relation to three different key aspects that guided the review of such work.
The network model, put forth by Charles Bachman in 1969, allows for the arrangement of data in a graph-like structure, with nodes serving as records and arcs as the connections between them. E. F ...
Starting with a research on survey works on authorization and access control in databases, the study continues with the identification and definition of advanced authorization and access control requirements, which are generally applicable to any database model. This paper then discusses and compares current database models based on these ...
In this paper, we present one such approach, the Data ow Model1, along with a detailed examination of the semantics it enables, an overview of the core principles that guided its design, and a validation of the model itself via the real-world experiences that led to its development. 1We use the term \Data ow Model" to describe the pro-
The relational model was introduced in 1970. Edgar F. Codd, a researcher at IBM, published a paper called "A Relational Model of Data for Large Shared Data Banks.". The paper was a rewrite of a paper he had circulated internally at IBM a year earlier. The paper is unassuming; Codd does not announce in his abstract that he has discovered a ...
Introduction. We are living in the age of "data science and advanced analytics", where almost everything in our daily lives is digitally recorded as data [].Thus the current electronic world is a wealth of various kinds of data, such as business data, financial data, healthcare data, multimedia data, internet of things (IoT) data, cybersecurity data, social media data, etc [].
Untie the Knots (\\textbf{UtK}), a novel data augmentation strategy employed during the continue pre-training phase, designed to efficiently enable LLMs to gain long-context capabilities without the need to modify the existing data mixture is introduced. Large language models (LLM) have prioritized expanding the context window from which models can incorporate more information. However ...
Routinely collected health data (RCD) including electronic health records, disease registries, health administrative data and wearables data are not specifically collected for research purposes. Analysis of these data poses unique methodological challenges that must be addressed when conducting research, particularly as availability and use increase. This scoping review aimed to identify ...
Recent advancements in large language models (LLMs) have sparked optimism about their potential to accelerate scientific discovery, with a growing number of works proposing research agents that autonomously generate and validate new ideas. Despite this, no evaluations have shown that LLM systems can take the very first step of producing novel, expert-level ideas, let alone perform the entire ...
cision support databases and Big Data technologies. In our survey we have researched related works that also. explore and compare these approaches from the data modeling or da ta analytics point ...
The research paper covers sentiment analysis on textual data from social media where people have vocalized their sentiments or thinking regarding seasonal diseases and seasonal infectious diseases. Influenza, Dengue, Malaria, Japanese Encephalitis, and Chikungunya are the seasonal diseases that have been covered in this research paper.
This paper is the first to develop a novel community detection approach for node clustering based on functional factorization, and builds a multi-view directed and weighted network, where each view represents one particular pattern and the factorization coefficient of each O-D path is treated as the weight of this directed edge in this particular view.
Should consumer researchers employ silicon samples and artificially generated data based on large language models, such as GPT, to mimic human respondents' behavior? In this paper, we review recent research that has compared result patterns from silicon and human samples, finding that results vary considerably across different domains. Based on these results, we present specific ...
Suicide is prevalent in all countries and is largely preventable. The causes of suicide are multiple and varied. Social determinants of suicide are crucial, but to date these have received insufficient policy attention. This paper, which is the first in a Series on taking a public health approach to suicide prevention, argues for a major change in the way we think about suicide and its prevention.
Explore the latest full-text research PDFs, articles, conference papers, preprints and more on DATABASE MANAGEMENT SYSTEMS. Find methods information, sources, references or conduct a literature ...
The Next Generation ACO Model is an initiative for ACOs that are experienced in coordinating care for populations of patients. The goal of the Model is to test whether strong financial incentives for ACOs, coupled with tools to support better patient engagement and care management, can improve health outcomes and lower expenditures for Original Medicare fee-for-service (FFS) beneficiaries.
Exploring the data quality problems in the context of federated cooperation and adopting corresponding governance countermeasures can facilitate the smooth progress of federated cooperation and obtain high-performance models. However, previous studies have rarely focused on quality issues in federated cooperation. To this end, this paper analyzes the quality problems in the federated ...