Thematische Bibliographien / Information storgage and retrieval systems

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Auswahl der wissenschaftlichen Literatur zum Thema „Information storgage and retrieval systems“

Autor: Grafiati

Veröffentlicht am 4. Juni 2021

Zuletzt aktualisiert am 29. Juli 2025

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Zeitschriftenartikel zum Thema "Information storgage and retrieval systems"

Paice, Chris. "Expert systems for information retrieval?" Aslib Proceedings 38, no. 10 (1986): 343–53. http://dx.doi.org/10.1108/eb051026.

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Zuva, Keneilwe. "Evaluation of Information Retrieval Systems." International Journal of Computer Science and Information Technology 4, no. 3 (2012): 35–43. http://dx.doi.org/10.5121/ijcsit.2012.4304.

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Salton, Gerard. "Expert systems and information retrieval." ACM SIGIR Forum 31, no. 1 (1997): 39–42. http://dx.doi.org/10.1145/263868.263873.

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Salton, G. "Expert systems and information retrieval." ACM SIGIR Forum 21, no. 3-4 (1987): 3–9. http://dx.doi.org/10.1145/30075.30076.

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Locatis, Craig. "Information Retrieval Systems and Learning." Performance Improvement Quarterly 2, no. 3 (2008): 4–15. http://dx.doi.org/10.1111/j.1937-8327.1989.tb00408.x.

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Seiden, Peggy, and Mark Kibbey. "Information Retrieval Systems for Microcomputers." Library Hi Tech 3, no. 1 (1985): 41–54. http://dx.doi.org/10.1108/eb047581.

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Rashmi, Ms. "Introduction to Information Retrieval Systems." International Journal on Recent and Innovation Trends in Computing and Communication 3, no. 4 (2015): 2051–54. http://dx.doi.org/10.17762/ijritcc2321-8169.150462.

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Megill, Kenneth A. "Text information and retrieval systems." Information Processing & Management 29, no. 1 (1993): 146. http://dx.doi.org/10.1016/0306-4573(93)90030-h.

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Cacheda, Fidel, and Javier Parapar. "Information Retrieval and Recommender Systems." JUCS - Journal of Universal Computer Science 21, no. (13) (2015): 1706–7. https://doi.org/10.3217/jucs-021-13.

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Sen, Procheta. "Proactive information retrieval." ACM SIGIR Forum 55, no. 2 (2021): 1–2. http://dx.doi.org/10.1145/3527546.3527576.

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Users interact with digital systems with some underlying tasks in their minds. In our research scope, a task can be either single or multi-staged. A single-staged task is associated with a single information need, whereas a multi-staged one is associated with more than one information needs. An example of a single-staged task is suggesting related papers to an author while they are writing a section of the research papers. An example of a multi-staged task is planning for a vacation, where the different underlying information needs could be 'places to visit', 'booking accommodation' etc. In th

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Dissertationen zum Thema "Information storgage and retrieval systems"

Romano, Nicholas C., Dmitri G. Roussinov, Jay F. Nunamaker, and Hsinchun Chen. "Collaborative Information Retrieval Environment: Integration of Information Retrieval with Group Support Systems." HICSS, 1999. http://hdl.handle.net/10150/105688.

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Artificial Intelligence Lab, Department of MIS, University of Arizona<br>Observations of Information Retrieval (IR) system user experiences reveal a strong desire for collaborative search while at the same time suggesting that collaborative capabilities are rarely, and then only in a limited fashion, supported by current searching and visualization tools. Equally interesting is the fact that observations of user experiences with Group Support Systems (GSS) reveal that although access to external information and the ability to search for relevant material is often vital to the progress

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Al-Maskari, Azzah. "Evaluation of interactive information retrieval systems." Thesis, University of Sheffield, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.538079.

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Mills, Timothy J. "Content modelling in multimedia information retrieval systems : the Cobra retrieval system." Thesis, University of Cambridge, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.442405.

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Liu, Chi-Cheng. "Implementation of parallel intelligent information retrieval systems." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/mq30509.pdf.

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Revutska, H. I., and V. L. Malinkina. "Automated information retrieval systems to the internet." Thesis, КНУТД, 2016. https://er.knutd.edu.ua/handle/123456789/5039.

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Agbele, Kehinde Kayode. "Context-awareness for adaptive information retrieval systems." Thesis, University of the Western Cape, 2014. http://hdl.handle.net/11394/3845.

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Philosophiae Doctor - PhD<br>This research study investigates optimization of IRS to individual information needs in order of relevance. The research addressed development of algorithms that optimize the ranking of documents retrieved from IRS. In this thesis, we present two aspects of context-awareness in IR. Firstly, the design of context of information. The context of a query determines retrieved information relevance. Thus, executing the same query in diverse contexts often leads to diverse result rankings. Secondly, the relevant context aspects should be incorporated in a way that support

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Gómez, Luis Alfonso. "A two-level model for information retrieval systems." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp05/mq24469.pdf.

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Zhao, Dianguo. "Information retrieval in digital libraries : the systems aspect." Thesis, De Montfort University, 1997. http://hdl.handle.net/2086/4124.

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Gerber, Howard L. "Optimization information retrieval from disparate menu driven systems." Thesis, Massachusetts Institute of Technology, 1989. http://hdl.handle.net/1721.1/61052.

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Williams, Michael J. "Training Aviation Maintenance Technicians with Information Retrieval Systems." NSUWorks, 2000. http://nsuworks.nova.edu/gscis_etd/924.

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The goal of this dissertation has been to examine changes in computing technology skills possessed by aircraft maintenance technicians. The perspective of this project has been from that of a Federal Aviation Administration (FAA) approved Aviation Maintenance Technician School (AMTS). Specifically, the AMTS curriculum at Embry-Riddle Aeronautical University (ERAU) in Daytona Beach, Florida, provided participants for the study. Recommendations for integrating computing technology training into the AMTS curriculum at ERAU are being proposed for planned changes to the existing curriculum. With th

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Bücher zum Thema "Information storgage and retrieval systems"

T, Meadow Charles, Boyce Bert R, and Kraft Donald H, eds. Text information retrieval systems. 3rd ed. Academic, 2007.

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R, Boyce Bert, and Kraft Donald H, eds. Text information retrieval systems. 2nd ed. Academic Press, 2000.

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1953-, Willett Peter, ed. Document retrieval systems. Taylor Graham, 1988.

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Ribeiro, Berthier de Araújo Neto, 1960-, ed. Modern information retrieval. ACM Press, 1999.

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J, Warner Amy, and Lancaster F. Wilfrid 1933-, eds. Information retrieval today. Information Resources Press, 1993.

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Kowalski, Gerald J., and Mark T. Maybury. Information Storage and Retrieval Systems. Springer US, 2002. http://dx.doi.org/10.1007/b116174.

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Computational Information Retrieval Conference (2000 Raleigh, N.C.). Computational information retrieval. SIAM, 2001.

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Bodnar, George H. Accounting information systems. Prentice Hall, 2013.

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Borlund, Pia. Evaluation of interactive information retrieval systems. Åbo Akademis Förlag, 2000.

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Choi, Kit Han. Deductive approach to information retrieval systems. The Author], 1992.

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Buchteile zum Thema "Information storgage and retrieval systems"

Castells, Pablo, and Dietmar Jannach. "Recommender Systems." In Information Retrieval. ACM, 2024. https://doi.org/10.1145/3674127.3674131.

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Amati, Giambattista. "Information Retrieval." In Encyclopedia of Database Systems. Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4899-7993-3_915-2.

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Amati, Giambattista. "Information Retrieval." In Encyclopedia of Database Systems. Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-39940-9_915.

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Ali-Ahmed, Syed Toufeeq. "Information Retrieval." In Encyclopedia of Systems Biology. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-9863-7_153.

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Amati, Giambattista. "Information Retrieval." In Encyclopedia of Database Systems. Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4614-8265-9_915.

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Baeza-Yates, Ricardo, Leena Murgai, and Shiran Dudy. "Bias in Retrieval Systems." In Information Retrieval. ACM, 2024. https://doi.org/10.1145/3674127.3674138.

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Ferro, Nicola, and Maria Maistro. "Evaluation of IR Systems." In Information Retrieval. ACM, 2024. https://doi.org/10.1145/3674127.3674132.

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Hersh, William R., William M. Detmer, and Mark E. Frisse. "Information-Retrieval Systems." In Medical Informatics. Springer New York, 2001. http://dx.doi.org/10.1007/978-0-387-21721-5_15.

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dos Santos, Emerson L., Fabiano M. Hasegawa, Bráulio C. Ávila, and Fabrício Enembreck. "Conceptual Information Retrieval." In Advanced Distributed Systems. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-25958-9_13.

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Abbadeni, Noureddine. "Perceptual Image Retrieval." In Visual Information and Information Systems. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11590064_23.

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Konferenzberichte zum Thema "Information storgage and retrieval systems"

Vithana, Sajani, and Sennur Ulukus. "Beyond Privacy: Deception in Information Retrieval." In 2024 58th Asilomar Conference on Signals, Systems, and Computers. IEEE, 2024. https://doi.org/10.1109/ieeeconf60004.2024.10942896.

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Anderson, Maya, Guy Amit, and Abigail Goldsteen. "Is My Data in Your Retrieval Database? Membership Inference Attacks Against Retrieval Augmented Generation." In 11th International Conference on Information Systems Security and Privacy. SCITEPRESS - Science and Technology Publications, 2025. https://doi.org/10.5220/0013108300003899.

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Abolpour, Milad, MohammadJavad Salehi, and Antti Tölli. "Coded Information Retrieval in Multi-User MIMO Systems." In 2024 58th Asilomar Conference on Signals, Systems, and Computers. IEEE, 2024. https://doi.org/10.1109/ieeeconf60004.2024.10943035.

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Mulhem, P., and L. Nigay. "Interactive information retrieval systems." In the 19th annual international ACM SIGIR conference. ACM Press, 1996. http://dx.doi.org/10.1145/243199.243280.

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Frieder, Ophir. "On scalable information retrieval systems." In the eleventh international conference. ACM Press, 2002. http://dx.doi.org/10.1145/584792.584793.

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Hermes, Thorsten, Christoph Klauck, Jutta Kreyss, and J. Zhang. "Image retrieval for information systems." In IS&T/SPIE's Symposium on Electronic Imaging: Science & Technology, edited by Wayne Niblack and Ramesh C. Jain. SPIE, 1995. http://dx.doi.org/10.1117/12.205310.

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Belkin, Nicholas, Susan Dumais, Jean Scholtz, and Ross Wilkinson. "Evaluating interactive information retrieval systems." In Extended abstracts of the 2004 conference. ACM Press, 2004. http://dx.doi.org/10.1145/985921.986162.

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Olenchikova, T. U., A. D. Marchenko, and D. L. Maslennikov. "Intelligence Information Retrieval in Corporate Information Systems." In 2018 Global Smart Industry Conference (GloSIC). IEEE, 2018. http://dx.doi.org/10.1109/glosic.2018.8570100.

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Zaher, L'Hedi, Jean-pierre Cahier, and Manuel Zacklad. "Towards Open Information Retrieval." In 2006 International Conference on Service Systems and Service Management. IEEE, 2006. http://dx.doi.org/10.1109/icsssm.2006.320586.

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Banawan, Karim, and Sennur Ulukus. "Noisy Private Information Retrieval." In 2018 52nd Asilomar Conference on Signals, Systems, and Computers. IEEE, 2018. http://dx.doi.org/10.1109/acssc.2018.8645465.

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Berichte der Organisationen zum Thema "Information storgage and retrieval systems"

Baylor, Robert. Automated information retrieval systems for legal research. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.648.

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Elkerton, Jay, and Susan Palmiter. Designing Help Systems Using a GOMS Model: Part 1. An Information Retrieval Evaluation. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada213603.

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HOLDEN, N. E. A SHORT HISTORY CSISRS - AT THE CUTTING EDGE OF NUCLEAR DATA INFORMATION STORAGE AND RETRIEVAL SYSTEMS AND ITS RELATIONSHIP TO CINDA, EXFOR AND ENDF. Office of Scientific and Technical Information (OSTI), 2005. http://dx.doi.org/10.2172/862430.

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Decleir, Cyril, Mohand-Saïd Hacid, and Jacques Kouloumdjian. A Database Approach for Modeling and Querying Video Data. Aachen University of Technology, 1999. http://dx.doi.org/10.25368/2022.90.

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Indexing video data is essential for providing content based access. In this paper, we consider how database technology can offer an integrated framework for modeling and querying video data. As many concerns in video (e.g., modeling and querying) are also found in databases, databases provide an interesting angle to attack many of the problems. From a video applications perspective, database systems provide a nice basis for future video systems. More generally, database research will provide solutions to many video issues even if these are partial or fragmented. From a database perspective, v

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Bonfil, David J., Daniel S. Long, and Yafit Cohen. Remote Sensing of Crop Physiological Parameters for Improved Nitrogen Management in Semi-Arid Wheat Production Systems. United States Department of Agriculture, 2008. http://dx.doi.org/10.32747/2008.7696531.bard.

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To reduce financial risk and N losses to the environment, fertilization methods are needed that improve NUE and increase the quality of wheat. In the literature, ample attention is given to grid-based and zone-based soil testing to determine the soil N available early in the growing season. Plus, information is available on in-season N topdressing applications as a means of improving GPC. However, the vast majority of research has focused on wheat that is grown under N limiting conditions in sub-humid regions and irrigated fields. Less attention has been given to wheat in dryland that is water

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Rigotti, Christophe, and Mohand-Saïd Hacid. Representing and Reasoning on Conceptual Queries Over Image Databases. Aachen University of Technology, 1999. http://dx.doi.org/10.25368/2022.89.

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The problem of content management of multimedia data types (e.g., image, video, graphics) is becoming increasingly important with the development of advanced multimedia applications. Traditional database management systems are inadequate for the handling of such data types. They require new techniques for query formulation, retrieval, evaluation, and navigation. In this paper we develop a knowledge-based framework for modeling and retrieving image data by content. To represent the various aspects of an image object's characteristics, we propose a model which consists of three layers: (1) Featu

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Rigotti, Christophe, and Mohand-Saïd Hacid. Representing and Reasoning on Conceptual Queries Over Image Databases. Aachen University of Technology, 1999. http://dx.doi.org/10.25368/2022.89.

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Videa, Aldo, and Yiyi Wang. Inference of Transit Passenger Counts and Waiting Time Using Wi-Fi Signals. Western Transportation Institute, 2021. http://dx.doi.org/10.15788/1715288737.

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Passenger data such as real-time origin-destination (OD) flows and waiting times are central to planning public transportation services and improving visitor experience. This project explored the use of Internet of Things (IoT) Technology to infer transit ridership and waiting time at bus stops. Specifically, this study explored the use of Raspberry Pi computers, which are small and inexpensive sets of hardware, to scan the Wi-Fi networks of passengers’ smartphones. The process was used to infer passenger counts and obtain information on passenger trajectories based on Global Positioning Syste

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