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Graph database
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Bài giảng "Lưu trữ và xử lý dữ liệu lớn: Chương 4 - Cơ sở dữ liệu phi quan hệ NoSQL (Phần 1)" trình bày các nội dung chính sau đây: Kỷ nguyên của cơ sở dữ liệu, trường hợp sử dụng NoSQL, mô hình dữ liệu quan hệ, kho lưu trữ cơ sở dữ liệu đồ thị;... Mời các bạn cùng tham khảo!
43p
gaupanda025
09-04-2024
3
2
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This paper proposes a friend recommendation system on social networks based on how to calculate the reliability between users. The recommendation system is implemented using the Neo4j graph database. The results of the truth algorithm proposed in this paper are higher than other similar algorithms.
6p
visystrom
22-11-2023
14
3
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Ebook "Graph databases" includes content: Introduction, options for storing connected data, data modeling with graphs, building a graph database application, graphs in the real world, graph database internals, predictive analysis with graph theory.
238p
haojiubujain07
20-09-2023
6
3
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Continued part 1, part 2 of ebook "Graph databases: New opportunities for connected data" provides readers with contents including: chapter 5 - Graphs in the real world; chapter 6 - Graph database internals; chapter 7 - Predictive analysis with graph theory;
116p
tieulangtran
28-09-2023
4
3
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Part 1 of ebook "Graph databases: New opportunities for connected data" provides readers with contents including: chapter 1 - Introduction; chapter 2 - Options for storing connected data; chapter 3 - Data modeling with graphs; chapter 4 - Building a graph database application;...
122p
tieulangtran
28-09-2023
5
2
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In the paper "Building and mining graph databases from biomedical heterogeneous networks", in order to explore the underlying knowledge in heterogeneous network data, we propose an approach to the Neo4J graph database and some graph algorithms such as PageRank, Community detection, and Similarity algorithm. Performing experiments on some heterogeneous data, we have obtained significant results, we can see that the proposed method improves efficiency, increases accuracy, and reduces execution time compared to traditional way of storing data.
9p
runordie3
27-06-2022
23
4
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Lecture Database management systems: Lesson 45. The main topics covered in this chapter include: locking idea, deadlock handling, deadlock prevention, deadlock detection and resolution, wait-for graph, two-phase locking, levels of locking, granularity of locks, intension locks, extended comp matrix,...
27p
wangziyi_1307
26-04-2022
12
2
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Accurate typing of human leukocyte antigen (HLA) is important because HLA genes play important roles in immune responses and disease genesis. Previously available computational methods are database-matching approaches and their outputs are inherently limited by the completeness of already known types, making them unsuitable for discovery of novel alleles.
16p
vialfrednobel
29-01-2022
15
0
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The evaluation shows how the achieved solutions provide a great performance improvement (between 70% and 90% of filtering time reduction) in a centralized configuration and how they may be used to achieve efficient subgraph searching over very large databases in cluster configurations.
17p
guernsey
28-12-2021
9
0
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In this paper, we propose a way by which we can store hypergraphs model in the SAP HANA in-memory database system which has a \Graph Core" engine besides the relational data model. Graph Core has many graph algorithms by default however it is not capable to store or to work with hypergraphs neither are any of these algorithms speci¯cally tailored for hypergraphs either.
21p
redemption
20-12-2021
22
0
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In this paper, we are presenting a way to store the data produced by these nodes in graph database, changing from relational database to NoSQL environment. With our approach, one can easily represent and visualize the network of machines.
12p
redemption
20-12-2021
11
0
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Database search has been the main approach for proteoform identification by top-down tandem mass spectrometry. However, when the target proteoform that produced the spectrum contains post-translational modifications (PTMs) and/or mutations, it is quite time consuming to align a query spectrum against all protein sequences without any PTMs and mutations in a large database.
13p
vitzuyu2711
29-09-2021
17
2
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Defining histone modification at single-nucleosome resolution provides accurate epigenomic information in individual nucleosomes. However, most of histone modification data deposited in current databases, such as ENCODE and Roadmap, have low resolution with peaks of several kilo-base pairs (kb), which due to the technical defects of regular ChIP-Seq technology.
9p
visilicon2711
20-08-2021
6
1
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This paper introduces a novel methodology to build knowledge graph from heterogeneous documents. We use the methodologies of Natural Language Processing and deep learning to build this graph. The knowledge graph can use in Question answering systems and Information retrieval especially in Computing domain.
8p
tunelove
12-06-2021
15
1
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This approach yields a 70–80% improvement in intra-network communication, which is comparable to other methods, namely Ja-be-Ja, that offers similar results but has higher computational demands.
18p
trinhthamhodang11
04-05-2021
12
1
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This requires a data model that enables to easily represent the entities and support adding, deleting, and updating relations between entities without impacting application availability. Fortunately, graph databases are purposely-built to store highly connected data with nodes representing entities and edges representing relationships between these entities. In this paper, we propose a general graph model that can be used to design graph databases in order to support effectively storing and analyzing IoT data.
7p
chauchaungayxua11
23-03-2021
10
2
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Integrating and analyzing heterogeneous genome-scale data is a huge algorithmic challenge for modern systems biology. Bipartite graphs can be useful for representing relationships across pairs of disparate data types, with the interpretation of these relationships accomplished through an enumeration of maximal bicliques.
18p
vikentucky2711
26-11-2020
10
0
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When modeling in Systems Biology and Systems Medicine, the data is often extensive, complex and heterogeneous. Graphs are a natural way of representing biological networks. Graph databases enable efficient storage and processing of the encoded biological relationships. They furthermore support queries on the structure of biological networks.
9p
vioklahoma2711
19-11-2020
10
0
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A rapidly growing amount of knowledge about signaling and gene regulatory networks is available in databases such as KEGG, Reactome, or RegulonDB. There is an increasing need to relate this knowledge to highthroughput data in order to (in)validate network topologies or to decide which interactions are present or inactive in a given cell type under a particular environmental condition.
13p
vioklahoma2711
19-11-2020
9
0
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Rapid generation of omics data in recent years have resulted in vast amounts of disconnected datasets without systemic integration and knowledge building, while individual groups have made customized, annotated datasets available on the web with few ways to link them to in-lab datasets.
8p
viflorida2711
30-10-2020
8
2
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