Relevant bibliographies by topics / Heterogeneous databases

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
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Academic literature on the topic 'Heterogeneous databases'

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Published: 4 June 2021
Last updated: 4 February 2022

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Journal articles on the topic "Heterogeneous databases"

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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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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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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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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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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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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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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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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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Dissertations / Theses on the topic "Heterogeneous databases"

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Hu, Jian. "Interoperability of heterogeneous medical databases." Thesis, Heriot-Watt University, 1994. http://hdl.handle.net/10399/1358.

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MacKinnon, Lachlan Mhor. "Intelligent query manipulation for heterogeneous databases." Thesis, Heriot-Watt University, 1998. http://hdl.handle.net/10399/1252.

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Bhasker, Bharat. "Query processing in heterogeneous distributed database management systems." Diss., Virginia Tech, 1992. http://hdl.handle.net/10919/39437.

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The goal of this work is to present an advanced query processing algorithm formulated and developed in support of heterogeneous distributed database management systems. Heterogeneous distributed database management systems view the integrated data through an uniform global schema. The query processing algorithm described here produces an inexpensive strategy for a query expressed over the global schema. The research addresses the following aspects of query processing: (1) Formulation of a low level query language to express the fundamental heterogeneous database operations; (2) Translation of the query expressed over the global schema to an equivalent query expressed over a conceptual schema; (3) An estimation methodology to derive the intermediate result sizes of the database operations; (4) A query decomposition algorithm to generate an efficient sequence of the basic database operations to answer the query. This research addressed the first issue by developing an algebraic query language called cluster algebra. The cluster algebra consists of the following operations: (a) Selection, union, intersection and difference, which are extensions of their relational algebraic counterparts to heterogeneous databases; (b) Normal-join and normal-projection which replace their counterparts, join and projection, in the relational algebra; (c) Two new operators embed and unembed to restructure the database schema. The second issue of the query translation was addressed by development of an algorithm that translates a cluster algebra query expressed over the virtual views to an equivalent cluster algebra query expressed over the conceptual databases. A non-parametric estimation methodology to estimate the result size of a cluster algebra operation was developed to address the third issue described above. Finally, this research developed a query decomposition algorithm, applicable to the relational and non-relational databases, that decomposes a query by computing all profitable semi-join operations, followed by the determination of the best sequence of join operations per processing site. The join optimization is performed by formulating a zero-one integer linear program that uses the non-parametric estimation technique to compute the sizes of intermediate results. The query processing algorithm was implemented in the context of DAVID, a heterogeneous distributed database management system.
Ph. D.
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Xu, Lihui. "On the integration of heterogeneous deductive databases." Thesis, King's College London (University of London), 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.321953.

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Bilander, Jesper. "Transferring heterogeneous data from generic databases into a SQL database using HTTPPossibilities and Implementation." Thesis, Umeå universitet, Institutionen för datavetenskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-136466.

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The thesis investigates the possibility to create software that can synchronize heterogeneous data from generic databases through the Internet. To further enhance the conclusion, we implement a prototype that fetches data from numerous source system databases, and stores the data in another location, more accessible for processing. To achieve that, previous work with topics related to the area was inspected and analyzed. Based on the investigation, the implemented prototype uses a client-server approach which communicates with a REST-like design using JSON-strings and HTTP. This thesis and the resulting prototype proves that it is fully possible to create such software by combining and using existing protocols and frameworks.i
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Dhamija, Dinesh. "Synchronization of information in multiple heterogeneous manufacturing databases." Ohio : Ohio University, 1999. http://www.ohiolink.edu/etd/view.cgi?ohiou1175267226.

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Srinivasan, Uma Computer Science &amp Engineering Faculty of Engineering UNSW. "A FRAMEWORK FOR CONCEPTUAL INTEGRATION OF HETEROGENEOUS DATABASES." Awarded by:University of New South Wales. School of Computer Science and Engineering, 1997. http://handle.unsw.edu.au/1959.4/33463.

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Autonomy of operations combined with decentralised management of data has given rise to a number of heterogeneous databases or information systems within an enterprise. These systems are often incompatible in structure as well as content and hence difficult to integrate. This thesis investigates the problem of heterogeneous database integration, in order to meet the increasing demand for obtaining meaningful information from multiple databases without disturbing local autonomy. In spite of heterogeneity, the unity of overall purpose within a common application domain, nevertheless, provides a degree of semantic similarity which manifests itself in the form of similar data structures and common usage patterns of existing information systems. This work introduces a conceptual integration approach that exploits the similarity in meta level information in existing systems and performs metadata mining on database objects to discover a set of concepts common to heterogeneous databases within the same application domain. The conceptual integration approach proposed here utilises the background knowledge available in database structures and usage patterns and generates a set of concepts that serve as a domain abstraction and provide a conceptual layer above existing legacy systems. This conceptual layer is further utilised by an information re-engineering framework that customises and packages information to reflect the unique needs of different user groups within the application domain. The architecture of the information re-engineering framework is based on an object-oriented model that represents the discovered concepts as customised application objects for each distinct user group.
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Srinivasan, Uma. "A framwork for conceptual integration of heterogeneous databases." [Sydney : University of New South Wales], 1997. http://www.library.unsw.edu.au/%7Ethesis/adt-NUN/public/adt-NUN1998.0002/.

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Hansen, David Marshall. "An object oriented heterogeneous database architecture /." Full text open access at:, 1995. http://content.ohsu.edu/u?/etd,196.

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El, Khatib Hazem Turki. "Integrating information from heterogeneous databases using agents and metadata." Thesis, Heriot-Watt University, 2000. http://hdl.handle.net/10399/1214.

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Books on the topic "Heterogeneous databases"

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Boualem, Benatallah, and Elmagarmid Ahmed K, eds. Interconnecting heterogeneous information systems. Boston: Kluwer, 1998.

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Agyekum, Akwasi Kye. Connectivity between Heterogeneous Databases of the London Borough of Haringey. London: University ofEast London, 1995.

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1931-, Steinmann Heinrich, ed. Solutions for networked databases: How to move from heterogeneous structures to federated concepts. San Diego: Academic Press, 1993.

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Rykowski, Jarogniew. Personalized access to heterogeneous distributed information services by means of software agents. Poznań, Poland: Poznań University of Economics Pub. House, 2006.

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Tom, Laszewski, and Nauduri Prakash, eds. Oracle information integration, migration, and consolidation: The definitive guide to information integration and migration in a heterogeneous world. Birmingham: Packt Publishing, 2011.

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name, No. Heterogeneous information exchange and organizational hubs. Dordrecht: Kluwer Academic, 2002.

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Reddy, M. P. Towards an active schema integration architecture for heterogeneous database systems. Cambridge, MA, USA: Productivity From Information Technology, "PROFIT" Research Initiative, Sloan School of Management, Massachusetts Institute of Technology, 1993.

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Wang, Y. Richard. An accounting model-based approach to semantic reconciliation in heterogeneous database systems. Cambridge, Mass: Sloan School of Management, Massachusetts Institute of Technology, 1990.

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Thuraisingham, Bhavani M., Hélène Bestougeff, and J. E. Dubois. Heterogeneous information exchange and organizational hubs. Dordrecht: Springer Science+Business Media, 2002.

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Livatharas, C. Integration of heterogeneous databases using WAVE. 1995.

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Book chapters on the topic "Heterogeneous databases"

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Salzano, Gabriella. "Integration Methodology for Heterogeneous Databases." In Heterogeneous Information Exchange and Organizational Hubs, 1–16. Dordrecht: Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-017-1769-4_1.

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Quass, Dallan, Anand Rajaraman, Yehoshua Sagiv, Jeffrey Ullman, and Jennifer Widom. "Querying semistructured heterogeneous information." In Deductive and Object-Oriented Databases, 319–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/3-540-60608-4_48.

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Jeffery, Keith G., Liz Hutchinson, John Kalmus, Michael Wilson, Wernher Behrendt, and Colin Macnee. "A model for heterogeneous distributed database systems." In Directions in Databases, 221–34. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/3-540-58235-5_45.

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Yang, Yuping, and Mukesh Singhal. "H-Rule Mining in Heterogeneous Databases." In Methodologies for Knowledge Discovery and Data Mining, 99–103. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48912-6_13.

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Yin, Xiaoxin, and Jiawei Han. "Efficient Classification from Multiple Heterogeneous Databases." In Knowledge Discovery in Databases: PKDD 2005, 404–16. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11564126_40.

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Ji, Yugang, Tianrui Jia, Yuan Fang, and Chuan Shi. "Dynamic Heterogeneous Graph Embedding via Heterogeneous Hawkes Process." In Machine Learning and Knowledge Discovery in Databases. Research Track, 388–403. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86486-6_24.

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Naik, Shefali. "Ensuring Database and Location Transparency in Multiple Heterogeneous Distributed Databases." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 157–63. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73712-6_16.

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Hai, Rihan, Christoph Quix, and Chen Zhou. "Query Rewriting for Heterogeneous Data Lakes." In Advances in Databases and Information Systems, 35–49. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-98398-1_3.

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Kitakami, Hajime, and Mitsuko Nishimoto. "Constraint Satisfaction for Reconciling Heterogeneous Tree Databases." In Lecture Notes in Computer Science, 624–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-44469-6_58.

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Kosky, Anthony S., I. Min A. Chen, Victor M. Markowitz, and Ernest Szeto. "Exploring heterogeneous biological databases: Tools and applications." In Lecture Notes in Computer Science, 499–513. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/bfb0101005.

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Conference papers on the topic "Heterogeneous databases"

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Garg, Binny, and Karamjit Kaur. "Integration of heterogeneous databases." In 2015 International Conference on Advances in Computer Engineering and Applications (ICACEA). IEEE, 2015. http://dx.doi.org/10.1109/icacea.2015.7164859.

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e Silva, Gláucia Braga, Breno Lisi Romano, Henrique Fernandes de Campos, Ricardo Godoi Vieira, Adilson Marques da Cunha, and Luiz Alberto Vieira Dias. "Integrating Amazonic Heterogeneous Hydrometeorological Databases." In 2009 Sixth International Conference on Information Technology: New Generations. IEEE, 2009. http://dx.doi.org/10.1109/itng.2009.207.

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Richards, Paul J. "Object persistence in heterogeneous databases." In Addendum to the proceedings. New York, New York, USA: ACM Press, 1994. http://dx.doi.org/10.1145/260028.260133.

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Picado, Jose, Arash Termehchy, and Sudhanshu Pathak. "Learning Efficiently Over Heterogeneous Databases." In SIGMOD/PODS '18: International Conference on Management of Data. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3209889.3209899.

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Yang, Yi, and Junkang Feng. "Integration of Semantically Aligned Heterogeneous Databases." In 2011 Seventh International Conference on Semantics Knowledge and Grid (SKG). IEEE, 2011. http://dx.doi.org/10.1109/skg.2011.30.

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Chen, Wei, Huiling Guo, Fang Zhang, Xiaowei Pu, and Xuefei Liu. "Mining schema matching between heterogeneous databases." In 2012 2nd International Conference on Consumer Electronics, Communications and Networks (CECNet). IEEE, 2012. http://dx.doi.org/10.1109/cecnet.2012.6201642.

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Velcescu, Letitia, and Laurentiu Vasile. "Relational Operators in Heterogeneous Random Databases." In 2009 11th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC). IEEE, 2009. http://dx.doi.org/10.1109/synasc.2009.50.

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Wang, Xiaolei, and Yue Chen. "Semantic Based Integration of Heterogeneous Databases." In 2009 2nd International Conference on Biomedical Engineering and Informatics. IEEE, 2009. http://dx.doi.org/10.1109/bmei.2009.5305797.

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Karasneh, Yaser, Hamidah Ibrahim, Mohamed Othman, and Razali Yaakob. "Matching schemas of heterogeneous relational databases." In 2009 Second International Conference on the Applications of Digital Information and Web Technologies (ICADIWT). IEEE, 2009. http://dx.doi.org/10.1109/icadiwt.2009.5273926.

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Lazarevic, Aleksandar, and Zoran Obradovic. "Boosting Localized Classifiers in Heterogeneous Databases." In Proceedings of the 2001 SIAM International Conference on Data Mining. Philadelphia, PA: Society for Industrial and Applied Mathematics, 2001. http://dx.doi.org/10.1137/1.9781611972719.14.

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Reports on the topic "Heterogeneous databases"

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Chatterjee, A., and A. Segev. Data manipulation in heterogeneous databases. Office of Scientific and Technical Information (OSTI), October 1991. http://dx.doi.org/10.2172/5607873.

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Chatterjee, A., and A. Segev. Data manipulation in heterogeneous databases. Office of Scientific and Technical Information (OSTI), October 1991. http://dx.doi.org/10.2172/10130641.

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Wolfson, Ouri, A. P. Sistla, and Clement Yu. Active Heterogeneous Databases for Monitor and Control. Fort Belvoir, VA: Defense Technical Information Center, May 1996. http://dx.doi.org/10.21236/ada309874.

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Patel, Reena. Complex network analysis for early detection of failure mechanisms in resilient bio-structures. Engineer Research and Development Center (U.S.), June 2021. http://dx.doi.org/10.21079/11681/41042.

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Bio-structures owe their remarkable mechanical properties to their hierarchical geometrical arrangement as well as heterogeneous material properties. This dissertation presents an integrated, interdisciplinary approach that employs computational mechanics combined with flow network analysis to gain fundamental insights into the failure mechanisms of high performance, light-weight, structured composites by examining the stress flow patterns formed in the nascent stages of loading for the rostrum of the paddlefish. The data required for the flow network analysis was generated from the finite element analysis of the rostrum. The flow network was weighted based on the parameter of interest, which is stress in the current study. The changing kinematics of the structural system was provided as input to the algorithm that computes the minimum-cut of the flow network. The proposed approach was verified using two classical problems three- and four-point bending of a simply-supported concrete beam. The current study also addresses the methodology used to prepare data in an appropriate format for a seamless transition from finite element binary database files to the abstract mathematical domain needed for the network flow analysis. A robust, platform-independent procedure was developed that efficiently handles the large datasets produced by the finite element simulations. Results from computational mechanics using Abaqus and complex network analysis are presented.
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