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Journal articles on the topic 'Heterogeneous databases'

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Published: 4 June 2021
Last updated: 4 February 2022

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1

Widom, Jennifer. "Integrating heterogeneous databases." ACM Computing Surveys 28, no. 4es (December 1996): 91. http://dx.doi.org/10.1145/242224.242344.

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Nie, Feng Ying, Fang Fei Wu, and Li Yong Wan. "Study on Integration Model of Heterogeneous Database Based on XML Technology." Advanced Materials Research 912-914 (April 2014): 1403–6. http://dx.doi.org/10.4028/www.scientific.net/amr.912-914.1403.

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In order to solve the problem of data integration and sharing for heterogeneous database at various departments from enterprises, this paper analyses thoroughly how to use the XML technology to mask differences between the heterogeneous databases. This paper designs an integration model based on the various heterogeneous databases by using the XML database as the middle database. The integration model is applied in the fault diagnosis system, and a data-exchange platform based on BizTalk is designed. On the heterogeneous database model, the fault diagnosis system can meets the need of multiple heterogeneous databases.
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3

MARKOWITZ, VICTOR M. "Heterogeneous Molecular Biology Databases." Journal of Computational Biology 2, no. 4 (January 1995): 537–38. http://dx.doi.org/10.1089/cmb.1995.2.537.

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4

Mershad, Khaleel, and Ali Hamieh. "SDMS: smart database management system for accessing heterogeneous databases." International Journal of Intelligent Information and Database Systems 14, no. 2 (2021): 115. http://dx.doi.org/10.1504/ijiids.2021.114513.

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Mershad, Khaleel, and Ali Hamieh. "SDMS: smart database management system for accessing heterogeneous databases." International Journal of Intelligent Information and Database Systems 14, no. 2 (2021): 115. http://dx.doi.org/10.1504/ijiids.2021.10035961.

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6

Kamir Yusof, Mohd, Ahmad Faisal Amri Abidin, and Mohd Nordin Abdul Rahman. "Architecture for Accessing Heterogeneous Databases." International Journal of Information Technology and Computer Science 4, no. 1 (February 3, 2012): 25–31. http://dx.doi.org/10.5815/ijitcs.2012.01.04.

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7

Catarci, T., G. Santucci, and J. Cardiff. "Graphical interaction with heterogeneous databases." VLDB Journal The International Journal on Very Large Data Bases 6, no. 2 (May 1, 1997): 97–120. http://dx.doi.org/10.1007/s007780050035.

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8

Picado, Jose, Arash Termehchy, and Sudhanshu Pathak. "Learning efficiently over heterogeneous databases." Proceedings of the VLDB Endowment 11, no. 12 (August 2018): 2066–69. http://dx.doi.org/10.14778/3229863.3236261.

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9

Richards, Paul J. "Object persistence in heterogeneous databases." ACM SIGPLAN OOPS Messenger 5, no. 4 (October 1994): 96–101. http://dx.doi.org/10.1145/260060.260133.

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10

Chatterjee, Abhirup, and Arie Segev. "Data manipulation in heterogeneous databases." ACM SIGMOD Record 20, no. 4 (December 1991): 64–68. http://dx.doi.org/10.1145/141356.141385.

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11

Williams, M. H., and J. Hu. "Making heterogeneous medical databases interoperable." Computer Methods and Programs in Biomedicine 43, no. 3-4 (June 1994): 275–81. http://dx.doi.org/10.1016/0169-2607(94)90080-9.

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12

Sheth, Amit P., and James A. Larson. "Federated database systems for managing distributed, heterogeneous, and autonomous databases." ACM Computing Surveys 22, no. 3 (September 1990): 183–236. http://dx.doi.org/10.1145/96602.96604.

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13

Meng, Fan Xing, Xiu Mei Wen, and Jian Hua Li. "On Heterogeneous Database Integration under the Scope of Web Service and Java." Advanced Materials Research 756-759 (September 2013): 1101–5. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.1101.

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More and more accessible databases are available in the Web. In order to provide people a unified access to these Web heterogeneous databases and achieve information from them automatically. This paper proposes a comprehensive solution for heterogeneous database integration, explains the heterogeneity of the data source, analyzes the method of integration mod of heterogeneous data source by using interconnect technology of database and considers mainly the integration about the heterogeneous data source based on Web Service and Java. This solution is extensible and portable.
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14

Leong, Leslie. "The Issues And Solutions Of Integrating DBMS To A Multi-DBMS." Review of Business Information Systems (RBIS) 7, no. 2 (April 1, 2003): 73–82. http://dx.doi.org/10.19030/rbis.v7i2.4536.

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Many organizations invest heavily in heterogeneous databases according to organizational functions. These heterogeneous databases are stand-alone systems that do not interact with one another. The objective of this paper is to introduce a multi-database system (MDBMS) that interacts with other heterogeneous DBMS within the organization to integrate information processing. In this paper, we discuss the potential inconsistencies in integrating heterogeneous databases. We further extend to include issues in designing a MDBMS. With a MDBMS, data sharing across organization reduces overheads and costs, thus, provides a competitive advantage to the global firms.
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15

Hansen, David, David Maier, James Stanley, and Jonathan Walpole. "Object-Oriented Heterogeneous Database for Materials Science." Scientific Programming 1, no. 2 (1992): 115–31. http://dx.doi.org/10.1155/1992/463804.

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As a part of the scientific database research underway at the Oregon Graduate Institute, we are collaborating with materials scientists in the research and development of an extensible modeling and computation environment for materials science. Materials scientists are prolific users of computers for scientific research. Modeling techniques and algorithms are well known and refined, and computerized databases of chemical and physical property data abound. However, applications are typically developed in isolation, using information models specifically tailored for the needs of each application. Furthermore, available computerized databases in the form of CDs and on-line information services are still accessed manually by the scientist in an off-line fashion. Thus researchers are repeatedly constructing and populating new custom databases for each application. The goal of our research is to bridge this gulf between applications and sources of data. We believe that object-oriented technology in general and data-bases in particular, provide powerful tools for transparently bridging the gap between programs and data. An object-oriented database that not only manages data generated by user applications, but also provides access to relevant external data sources can be used to bridge this gap. An object-oriented database for materials science data is described that brings together data from heterogeneous non-object-oriented sources and formats, and presents the user with a single, uniform object-oriented schema that transparently integrates these diverse databases. A unique multilevel architecture is presented that provides a mechanism for efficiently accessing both heterogeneous external data sources and new data stored within the database.
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16

Zhang, Xiao Lin, Wan Li Wang, and Xiao Qi Lv. "Research on Technology of Medical Image Database and its Connection with HIS Database." Advanced Materials Research 267 (June 2011): 119–23. http://dx.doi.org/10.4028/www.scientific.net/amr.267.119.

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Medical digital image information storage standard and existing heterogeneous database technology were analyzed with view to the particularity of the standard for medical images; data in medical images were organized according to data organizational hierarchy in the DICOM standard and sophisticated relational databases were utilized to store medical images. Using XML as a middleware to connect medical image database to HIS and then through relational databases and XML transformation rules to complete the conversion of the two databases into XML document. The study indicated that the method is able to achieve the purpose of the connection of heterogeneous databases.
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17

Manjunath, Geetha, M. Narasimha Murty, and Dinkar Sitaram. "Combining heterogeneous classifiers for relational databases." Pattern Recognition 46, no. 1 (January 2013): 317–24. http://dx.doi.org/10.1016/j.patcog.2012.06.015.

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18

Liu, Huan. "Study on Coordination of Heterogeneous Databases." Applied Mechanics and Materials 608-609 (October 2014): 336–42. http://dx.doi.org/10.4028/www.scientific.net/amm.608-609.336.

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How to coordinate heterogeneous database to realize sharing and consistency of information not only is an important research subject in the database filed, but also is an emerging research hot spot in the field of database system. As a new development direction of computer software, it applies some new techniques to integrate the existing systems to develop new applications. The paper analyzes CSCW, XML, JDBC and heterogeneous database, and proposes a solution of heterogeneous database. The solution absorbs the thoughts of database meta data, middle ware and LDAP directory service.
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19

., Mohammed Qasim Yaseen. "APPROACH FOR QUERY IN HETEROGENEOUS DATABASES." International Journal of Research in Engineering and Technology 06, no. 03 (March 25, 2017): 98–103. http://dx.doi.org/10.15623/ijret.2017.0603017.

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20

Hsiao, D. K., and M. N. Kamel. "Heterogeneous databases: proliferations, issues, and solutions." IEEE Transactions on Knowledge and Data Engineering 1, no. 1 (March 1989): 45–62. http://dx.doi.org/10.1109/69.43403.

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21

Zhang, Shuai, Sally I. McClean, and Bryan W. Scotney. "Clustering semantically heterogeneous distributed aggregate databases." Knowledge and Information Systems 38, no. 2 (December 22, 2012): 331–64. http://dx.doi.org/10.1007/s10115-012-0588-4.

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22

Chatterjee, Abhirup, and Arie Segev. "Rule based joins in heterogeneous databases." Decision Support Systems 13, no. 3-4 (March 1995): 313–33. http://dx.doi.org/10.1016/0167-9236(93)e0048-i.

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23

Zhang, Zhen You, Dong Guang Wang, and Zhi Cao. "Synchronous Optimization Method for Heterogeneous Database Based on the Minimal Data Set." Advanced Materials Research 756-759 (September 2013): 3574–77. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.3574.

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The data synchronous of the distributed heterogeneous database was one of the important researches for the heterogeneous databases. This paper analyzed the data synchronization optimization mechanism of the distributed heterogeneous database and puts forward to get the minimum change data set from each node database and then get the system total change data set, and then find out each node database of minimal update data set to update each node database, so as to realize the synchronization of heterogeneous database.
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24

Xiao, Yong, San Min Wang, and Guo Ding Chen. "Research on XML-Based Database Integration for Collaborative Design and Manufacture of Space Antenna." Materials Science Forum 532-533 (December 2006): 929–32. http://dx.doi.org/10.4028/www.scientific.net/msf.532-533.929.

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The technique of collaborative design and manufacture is not only very important, but also urgent necessary for space antenna. Building on unicode, XML provides the standard format describing data in various types, so it has the virtue of integrating heterogeneous databases. In this paper, the elementary research has been done on XML-based integrating technique for heterogeneous databases of space antenna. Firstly, the overall flow for collaborative design and manufacture of space antenna shows that five databases should be integrated. Secondly, a XML-based integration system frame is conceived for space antenna databases. Thirdly, an effective XML-based transformation mechanism is proposed for the data integration process between relational database and document-based database. Finally, the implement of XML-based database integration is demonstrated in a space antenna design.
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25

Xia, Yao Wen, Zhi Ping Li, Sai Dong Lv, and Guo Hua Tang. "The Research and Application of Heterogeneous Database Based on XML in Distance Education." Applied Mechanics and Materials 347-350 (August 2013): 2483–87. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.2483.

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this paper analyzes the problems of heterogeneous databases in a distance education system. It provides a heterogeneous database integration model based on XML and design and develop a heterogeneous database integration platform based on this model. Thus, it provides a unified standard and effective tool for teaching resource description and management in distance education.
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26

Zhang, Zhen You, Zi Qi Zhao, and Zhi Cao. "Dynamic Integration System for Heterogeneous Database Based on S2SH." Advanced Materials Research 756-759 (September 2013): 1403–7. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.1403.

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Between each node database there must be different in the distributed heterogeneous database system, so how to resolve these different (It's said that realize the mutual transformation between heterogeneous databases) was an basic problem in the heterogeneous database system. This paper analyzes the system structure and the conversion mechanism for the distributed heterogeneous database and the realization of the conversion module theoretical including the conversion information extraction module, structural conversion module, structure formation module and put forward a concrete realization solutions.
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27

Wang, Ya Ping, Jiang Hua Ge, Jun Peng Shao, S. T. Han, and Zhi Qiang Li. "Research for Data Exchange Technology of Heterogeneous Database Based on XML." Key Engineering Materials 392-394 (October 2008): 903–7. http://dx.doi.org/10.4028/www.scientific.net/kem.392-394.903.

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Aim at an existent problems of manufacturing enterprise data exchange between design and manufacturing software, this paper puts forward the solution of data exchange between heterogeneous database with XML, which is based on the systematical analysis of currently data exchange methods between heterogeneous databases, construct the data exchange model between heterogeneous database based on XML. It gives mainly mapping method which is used for data exchange between XML and relational database, and analyzes the algorithm of connecting relational database, in order to solve the problem of transparently interoperation of heterogeneous database and realize data integration and sharing between manufacturing enterprise heterogeneous database. So it provides effective methods.
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28

Zhu, Yongjie, and Shenzhan Feng. "A Matching Method of Heterogeneous Database based on SOM and BP Neural Network." International Journal of Circuits, Systems and Signal Processing 15 (April 22, 2021): 383–92. http://dx.doi.org/10.46300/9106.2021.15.42.

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In the process of data integration among heterogeneous databases, it is significantly important to analyze the identical attributes and characteristics of the databases. However, the existing main data attribute matching model has the defects of oversize matching space and low matching precision. Therefore, this paper puts forward a heterogeneous data attribute matching model on the basis of fusion of SOM and BP network through analyzing the attribute matching process of heterogeneous databases. This model firstly matches the heterogeneous data attributes in advance by SOM network to determine the centre scope of attribute data to be matched. Secondly, the accurate match will be carried out through BP network of the standard heterogeneous data various attribute center. Finally, the matching result of the relevant actual database shows that this model can effectively reduce the matching space in the case of complex pattern. As for the large-scale data matching, the matching accuracy is relatively high. The average precision is 89.52%, and the average recall rate is 100%.
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29

Adeyelu, A. A., and E. O. Anyebe. "Implementing an Improved Mediator Wrapper Paradigm for Heterogeneous Database Integration." NIGERIAN ANNALS OF PURE AND APPLIED SCIENCES 1 (March 14, 2019): 224–35. http://dx.doi.org/10.46912/napas.29.

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This study developed and implemented an improved mediator wrapper approach to addressing the challenges of integration of semantic heterogeneous databases. It employed Local as View (LaV) paradigm of database integration so as to reduce its cost as well as offer the local sources a degree of independence. The developed model was implemented as web service using JEE and some software development tools with a number of heterogeneous databases as a case study.
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30

Chung, Chin-Wan. "DATAPLEX: an access to heterogeneous distributed databases." Communications of the ACM 33, no. 1 (January 3, 1990): 70–80. http://dx.doi.org/10.1145/76372.76377.

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31

Yu, Clement, Biao Jia, Wei Sun, and Son Dao. "Determining relationships among names in heterogeneous databases." ACM SIGMOD Record 20, no. 4 (December 1991): 79–80. http://dx.doi.org/10.1145/141356.141391.

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32

Reddy, M. P., B. E. Prasad, P. G. Reddy, and A. Gupta. "A methodology for integration of heterogeneous databases." IEEE Transactions on Knowledge and Data Engineering 6, no. 6 (1994): 920–33. http://dx.doi.org/10.1109/69.334882.

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33

Zhang, Huiran, Cheng Zhang, Rui Hu, Xi Liu, and Dongbo Dai. "Unified SQL Query Middleware for Heterogeneous Databases." Journal of Physics: Conference Series 1873, no. 1 (April 1, 2021): 012065. http://dx.doi.org/10.1088/1742-6596/1873/1/012065.

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34

Singhal, Harshul, Arpit Saxena, Nitesh Mittal, Chetna Dabas, and Parmeet Kaur. "PolyGlot Persistence for Microservices-Based Applications." International Journal of Information Technologies and Systems Approach 14, no. 1 (January 2021): 17–32. http://dx.doi.org/10.4018/ijitsa.2021010102.

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Traditionally, applications have used a single database to fulfill their storage requirements. However, limiting storage to a specific type of database system may result in a compromise in some functionalities of the application due to database features. This paper proposes an architectural framework for an application to exploit heterogeneous databases with a polyglot approach. A working application to demonstrate the use of different databases for various modules of an application is presented. Two instances of MongoDB and a single instance of MySQL have been used in the proposed application. Container technology is used to deploy the application's services like databases and web server. The use of microservices has resulted in a completely flexible and scalable application that utilizes the desired features of heterogeneous databases for its constituent modules. The proposed architecture is validated and compared with existing models. The performance comparison results are tabulated for six crucial parameters listed in the ISO/IEC 25010 standard.
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Jing, Hui Cheng, Jianwei Zhang, Fan Wei Meng, You Liang Yang, and Cui Hong Ma. "Research of Data Tree Model in Coal Mine Heterogeneous Database Integration." Applied Mechanics and Materials 263-266 (December 2012): 312–15. http://dx.doi.org/10.4028/www.scientific.net/amm.263-266.312.

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Through the analysis of the characteristics of heterogeneous database of coal mine, design heterogeneous data integration of coal mine system. The application of the data tree model theory is to eliminate heterogeneous model of all the local databases. The mapping relation of global view and each local view is established in the same data model and we can achieve transparent access of heterogeneous data sources by using middleware technology.
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36

Zhou, Hong Bo. "An Integration Solution to Heterogeneous Database Based on XML." Advanced Materials Research 791-793 (September 2013): 1450–53. http://dx.doi.org/10.4028/www.scientific.net/amr.791-793.1450.

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Different databases have different structure,how to co-share those heterogeneous database is becoming a challenge to all of us.The current database integration methods is more and more complex, operability is not very strong, the author proposes an XML interchange file to achieve the integration of heterogeneous database program.The system logic structure diagram is given in this paper,major function modules and structure are introduced in detail combined with graphic, and finally the characteristics of the system is summarized.
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37

Rohm, Marlena, Marius Markmann, Johannes Forsting, Robert Rehmann, Martijn Froeling, and Lara Schlaffke. "3D Automated Segmentation of Lower Leg Muscles Using Machine Learning on a Heterogeneous Dataset." Diagnostics 11, no. 10 (September 23, 2021): 1747. http://dx.doi.org/10.3390/diagnostics11101747.

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Quantitative MRI combines non-invasive imaging techniques to reveal alterations in muscle pathophysiology. Creating muscle-specific labels manually is time consuming and requires an experienced examiner. Semi-automatic and fully automatic methods reduce segmentation time significantly. Current machine learning solutions are commonly trained on data from healthy subjects using homogeneous databases with the same image contrast. While yielding high Dice scores (DS), those solutions are not applicable to different image contrasts and acquisitions. Therefore, the aim of our study was to evaluate the feasibility of automatic segmentation of a heterogeneous database. To create a heterogeneous dataset, we pooled lower leg muscle images from different studies with different contrasts and fields-of-view, containing healthy controls and diagnosed patients with various neuromuscular diseases. A second homogenous database with uniform contrasts was created as a subset of the first database. We trained three 3D-convolutional neuronal networks (CNN) on those databases to test performance as compared to manual segmentation. All networks, training on heterogeneous data, were able to predict seven muscles with a minimum average DS of 0.75. U-Net performed best when trained on the heterogeneous dataset (DS: 0.80 ± 0.10, AHD: 0.39 ± 0.35). ResNet and DenseNet yielded higher DS, when trained on a heterogeneous dataset (both DS: 0.86), as compared to a homogeneous dataset (ResNet DS: 0.83, DenseNet DS: 0.76). In conclusion, a CNN trained on a heterogeneous dataset achieves more accurate labels for predicting a heterogeneous database of lower leg muscles than a CNN trained on a homogenous dataset. We propose that a large heterogeneous database is needed, to make automated segmentation feasible for different kinds of image acquisitions.
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Tian, Sunny, Karina Bertelsmann, Linda Yu, and Shuying Sun. "DNA Methylation Heterogeneity Patterns in Breast Cancer Cell Lines." Cancer Informatics 15s4 (January 2016): CIN.S40300. http://dx.doi.org/10.4137/cin.s40300.

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Heterogeneous DNA methylation patterns are linked to tumor growth. In order to study DNA methylation heterogeneity patterns for breast cancer cell lines, we comparatively study four metrics: variance, I2 statistic, entropy, and methylation state. Using the categorical metric methylation state, we select the two most heterogeneous states to identify genes that directly affect tumor suppressor genes and high- or moderate-risk breast cancer genes. Utilizing the Gene Set Enrichment Analysis software and the ConsensusPath Database visualization tool, we generate integrated gene networks to study biological relations of heterogeneous genes. This analysis has allowed us to contribute 19 potential breast cancer biomarker genes to cancer databases by locating “hub genes” – heterogeneous genes of significant biological interactions, selected from numerous cancer modules. We have discovered a considerable relationship between these hub genes and heterogeneously methylated oncogenes. Our results have many implications for further heterogeneity analyses of methylation patterns and early detection of breast cancer susceptibility.
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Lazarevic, Aleksandar, and Zoran Obradovic. "Adaptive boosting techniques in heterogeneous and spatial databases." Intelligent Data Analysis 5, no. 4 (November 8, 2001): 285–308. http://dx.doi.org/10.3233/ida-2001-5402.

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40

Noaman, Amin, Fathy Essia, and Mostafa Salah. "Web Services Based Integration Tool for Heterogeneous Databases." International Journal of Research in Engineering and Science 1, no. 3 (2013): 16–26. http://dx.doi.org/10.9790/9364-0131626.

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Liu, Zhen Yu, Feng Bin Yan, and Bao Hua Zhang. "Heterogeneous Databases Integration Approach Based on Hybrid Ontology." Applied Mechanics and Materials 182-183 (June 2012): 1948–52. http://dx.doi.org/10.4028/www.scientific.net/amm.182-183.1948.

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Ontology has a strong ability in expressing of the semantics and conception speculating, so is used to deal with the problems in the databases integration. In this paper, we relative analysis the weak points of the local and global ontology, establishing a hybrid ontology framework in the databases integration, integrated the query module, shied of the discrepancy between the different data source, and introduced some of the critical techniques and with the supervisory module, log be produced too, convenient for system maintain and upgrade.
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Liu, Jian, X. X. Zhang, and Lei Zhang. "Tree pattern matching in heterogeneous fuzzy XML databases." Knowledge-Based Systems 122 (April 2017): 119–30. http://dx.doi.org/10.1016/j.knosys.2017.02.003.

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43

Kachouri, Rostom, Khalifa Djemal, and Hichem Maaref. "Multi-model classification method in heterogeneous image databases." Pattern Recognition 43, no. 12 (December 2010): 4077–88. http://dx.doi.org/10.1016/j.patcog.2010.07.001.

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44

Terakawa, Ayano, Teruhisa Hochin, and Hiroki Nomiya. "Integrated Usage of Heterogeneous Databases for Novice Users." International Journal of Networked and Distributed Computing 3, no. 2 (2015): 109. http://dx.doi.org/10.2991/ijndc.2015.3.2.5.

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Lim, Ee-Peng, and Roger H. L. Chiang. "The integration of relationship instances from heterogeneous databases." Decision Support Systems 29, no. 2 (August 2000): 153–67. http://dx.doi.org/10.1016/s0167-9236(00)00070-1.

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46

MASUD, MEHEDI, and ILUJU KIRINGA. "UPDATE TRANSLATION IN INSTANCE MAPPED HETEROGENEOUS PEER DATABASES." International Journal of Semantic Computing 05, no. 02 (June 2011): 211–34. http://dx.doi.org/10.1142/s1793351x11001195.

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In data sharing systems, peers are acquainted through pair-wise data sharing settings/mappings for sharing and exchanging data. Besides query processing, supporting update exchange for interchanging data between peers is one of the challenging problems in data sharing systems. In update exchange, an update action posed to a peer is applied to the peer's local database instance and then the update is propagated to the related peers. Previous work on update exchange have considered update propagation considering schema-level mappings between peers, which are conceptually similar to the view maintenance problem. However, there are data sharing systems, where peers are acquainted by instance-level mappings. In such a system, peers use different schemas and data vocabularies to represent semantically same real world entities. The instance-level mappings express how data in one peer relate to data in another peer. One of the problems in exchanging updates in instance-mapped data sharing systems is to translate updates correctly between heterogeneous peers. The translation should be such that insertions, deletions, and modifications of the tuples made by an update in a peer and by the translated version of the update in an acquainted peer are related through the mappings between them. In this paper, we investigate such a mechanism for translating update actions between heterogeneous peer data sources. Before discussing the translation mechanism, the paper first formalize the notion of update translation and derive conditions under which the translation mechanism will produce correct translations of updates.
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Murali, Vidhya, Cassandra Königs, Sarvani Deekshitula, Saranya Nukala, Maddala Divya Santhi, and Prashanth Athri. "CompoundDB4j: Integrated Drug Resource of Heterogeneous Chemical Databases." Molecular Informatics 39, no. 9 (June 15, 2020): 2000013. http://dx.doi.org/10.1002/minf.202000013.

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48

Asgari, Reza, Milad Gholipoor Moghadam, Mehregan Mahdavi, and Aida Erfanian. "An ontology-based approach for integrating heterogeneous databases." Open Computer Science 5, no. 1 (September 24, 2015): 41–50. http://dx.doi.org/10.1515/comp-2015-0002.

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AbstractIntegrating heterogeneous data in distributed databases has been a research issue for many years. In this paper, we discuss some of these problems and propose a solution using a semantic model. This semantic model is built upon the semantic relationships between existing data. Applying these semantics enables us to take into account different dimensions of user queries and find the best possible answer for them. The proposed approach leads us to introducing "a common language that is understandable for all databases". We use such a common language in order to return an effective response to the user’s query, as well as reducing the problems of integration.
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Jamil, Hasan M. "A Visual Interface for Querying Heterogeneous Phylogenetic Databases." IEEE/ACM Transactions on Computational Biology and Bioinformatics 14, no. 1 (January 1, 2017): 131–44. http://dx.doi.org/10.1109/tcbb.2016.2520943.

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Papazoglou, M. P., J. Bubenko, and M. Norrie. "Intent: an integrated environment for distributed heterogeneous databases." ACM SIGPLAN Notices 24, no. 4 (April 1989): 126–28. http://dx.doi.org/10.1145/67387.67421.

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