Dissertations / Theses: 'Database searching'

1

Unnava, Vasundhara. "Query processing in distributed database systems." Connect to resource, 1992. http://rave.ohiolink.edu/etdc/view.cgi?acc%5Fnum=osu1261314105.

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Nulty, William Glenn. "Geometric searching with spacefilling curves." Diss., Georgia Institute of Technology, 1993. http://hdl.handle.net/1853/24520.

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Webber, Caleb Paul. "Protein sequence database searching." Thesis, University of Cambridge, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.619830.

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Friedman, Marc T. "Representation and optimization for data integration /." Thesis, Connect to this title online; UW restricted, 1999. http://hdl.handle.net/1773/6979.

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Zhang, Hao. "Querying databases a tale of two C# approaches /." Click here for download, 2010. http://proquest.umi.com.ps2.villanova.edu/pqdweb?did=2019786971&sid=1&Fmt=2&clientId=3260&RQT=309&VName=PQD.

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Sun, Jimeng. "Analysis of predictive spatio-temporal queries /." View Abstract or Full-Text, 2003. http://library.ust.hk/cgi/db/thesis.pl?COMP%202003%20SUN.

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Thesis (M. Phil.)--Hong Kong University of Science and Technology, 2003.
Includes bibliographical references (leaves 62-65). Also available in electronic version. Access restricted to campus users.

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Rehmsmeier, Marc. "Database searching with phylogenetic trees." [S.l.] : [s.n.], 2001. http://deposit.ddb.de/cgi-bin/dokserv?idn=963977423.

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Khayundi, Peter. "A comparison of open source object-oriented database products." Thesis, University of Fort Hare, 2009. http://hdl.handle.net/10353/254.

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Object oriented databases have been gaining popularity over the years. Their ease of use and the advantages that they offer over relational databases have made them a popular choice amongst database administrators. Their use in previous years was restricted to business and administrative applications, but improvements in technology and the emergence of new, data-intensive applications has led to the increase in the use of object databases. This study investigates four Open Source object-oriented databases on their ability to carry out the standard database operations of storing, querying, updating and deleting database objects. Each of these databases will be timed in order to measure which is capable of performing a particular function faster than the other.

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Eom, Boyun. "Query optimization using frequent itemset mining." [Gainesville, Fla.] : University of Florida, 2005. http://purl.fcla.edu/fcla/etd/UFE0010844.

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洪宜偉 and Edward Hung. "Data cube system design: an optimization problem." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2000. http://hub.hku.hk/bib/B31222730.

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Hung, Edward. "Data cube system design : an optimization problem /." Hong Kong : University of Hong Kong, 2000. http://sunzi.lib.hku.hk/hkuto/record.jsp?B21852340.

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Shou, Yutao Sindy, and 壽玉濤. "Efficient query processing for spatial and temporal databases." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2004. http://hub.hku.hk/bib/B29853655.

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Davies, Lisa Joy. "Structural models of protein evolution in database searching." Thesis, University of Cambridge, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.620508.

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Savasere, Ashok. "Efficient algorithms for mining association rules in large databases of cutomer transactions." Diss., Georgia Institute of Technology, 1998. http://hdl.handle.net/1853/8260.

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Stafford, Matthew. "Online searching and connecting caching /." Digital version accessible at:, 2000. http://wwwlib.umi.com/cr/utexas/main.

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Gåfvels, Niklas. "Searching Web Feeds from a Functional Database Management System." Thesis, Uppsala University, Department of Information Technology, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-110893.

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Web feeds are a popular technique to distribute information about contents of web pages. RSS and Atom are two standards used to syndicate web contents as web feeds. This project investigates how to make different kinds of Internet web feeds searchable by implementing a general wrapper for web feeds in an extensible and functional DBMS, Amos II. The system, RSS-Amos, makes it possible to search the contents of any RSS or Atom based web feed using the query language AmosQL. New web feeds simply have to be declared to the system in order to make them searchable. The system guarantees that added feeds always are up to date when queries are made. The wrapper is implemented in Java using the ROME API from java.net. The project includes an evaluation of the performance of the system. Due to the fact that the actual data sources are located on the Internet, a cache of read feeds has been implemented to improve performance. The cache makes queries over 150 times faster.

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Davies, L. "Sequence database searching using structural models of protein evolution." Thesis, University of Cambridge, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.598371.

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Commonly used programs to search sequence databases such as BLAST, FASTA and SSEARCH identify sequence homology through pairwise alignment techniques. These programs are good at detecting closely related sequences but have problems accurately detecting homologous sequences with low sequence identity. This thesis describes a new approach that attempts to improve the detection of distantly related sequences by rejecting the assumption that all sites in a protein behave in an identical manner. This is done without the use of profile techniques, which require the preliminary collection of a set of homologs. Existing programs use general properties of proteins to generate alignment scores, which simplify calculations but may also result in a decrease in accuracy. In reality, amino acid replacement probabilities and rates, amino acid frequencies and gap probabilities all vary according to where a residue lies in a protein structure. Typical patterns of these structure-specific variations in evolutionary dynamics can be incorporated into a database search program through the use of hidden Markov models (HMMs), and hence potentially improve the detection of more distantly related sequences. In this thesis, the utility of including structure-specific evolutionary information in a database search program has been assessed. I have developed a general methodology permitting structure-based evolutionary models to be used for database searching, and specific algorithms that incorporate either solvent accessibility distinctions or protein secondary structure distinctions for globular proteins. In addition I have developed a database search algorithm for transmembrane proteins. The improvement afforded by adding the extra information has then been evaluated through the use of both simulated sequences, which exactly fit the models, and real sequences from the SCOP database. The success rate of each of these programs has been compared to a simplified model that contains the general properties of proteins but with no structural distinctions.

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18

Goldman, Daniel A. "Multidimensional range searching using G-tree and B*-tree indexing." Diss., Online access via UMI:, 2005.

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19

Chan, Francis. "Knowledge management in Naval Sea Systems Command : a structure for performance driven knowledge management initiative." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2002. http://library.nps.navy.mil/uhtbin/hyperion-image/02sep%5FChan.pdf.

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Thesis (M.S. in Product Development)--Naval Postgraduate School, September 2002.
Thesis advisor(s): Mark E. Nissen, Donald H. Steinbrecher. Includes bibliographical references (p. 113-117). Also available online.

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Masters, Gary E. (Gary Everett). "The Effects of Increased Equipment Speed on Online Database Searching Practices." Thesis, North Texas State University, 1987. https://digital.library.unt.edu/ark:/67531/metadc332315/.

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This study reports changes in online database searching at North Texas State University when equipment speed was increased. Data were from database vendor invoices and price and sale data of online equipment. The hypotheses examined the relationship between the decrease in the cost of online equipment and the change to faster online equipment and the change in the number of databases that changed for online types. The change in equipment was related to changes in the number of offline prints per hour, the average time per search, the average number of descriptors per search, the number of searches per month, and the rank order of database use over the studied period. The increase in the number of databases with billed types was related to the number of online billed types produced. The number of prints was related to the number of billed types. Time spent online was examined for annual seasonal cycles. The major statistical tool was time-series analysis, although other methods were applied.

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Mena, Eduardo Illarramendi Arantza. "Ontology-based query processing for global information systems /." Boston [u.a.] : Kluwer Acad. Publ, 2001. http://www.loc.gov/catdir/enhancements/fy0813/2001029621-d.html.

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Lau, Ho Lam. "An adaptive framework for searching XML documents /." View abstract or full-text, 2007. http://library.ust.hk/cgi/db/thesis.pl?CSED%202007%20LAU.

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Taye, Mohammad Mustafa. "Ontology alignment mechanisms for improving web-based searching." Thesis, De Montfort University, 2009. http://hdl.handle.net/2086/2423.

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Ontology has been developed to offer a commonly agreed understanding of a domain that is required for knowledge representation, knowledge exchange and reuse across domains. Therefore, ontology organizes information into taxonomies of terms (i.e., concepts, attributes) and shows the relationships between them. In fact, it is considered to be helpful in reducing conceptual confusion for users who need to share applications of different kinds, so it is widely used to capture and organize knowledge in a given domain. Although ontologies are considered to provide a solution to data heterogeneity, from another point of view, the available ontologies could themselves introduce heterogeneity problems. In order to deal with these problems, ontologies must be available for sharing or reusing; therefore, semantic heterogeneity and structural differences need to be resolved among ontologies. This can be done, in some cases, by aligning or matching heterogeneous ontologies. Thus, establishing the relationships between terms in the different ontologies is needed throughout ontology alignment. Semantic interoperability can be established in ontology reconciliation. The original problem is called the ―ontology alignment‖. The alignment of ontologies is concerned with the identification of the semantic relationships (subsumption, equivalence, etc.) that hold between the constituent entities (which can be classes, properties, etc.) of two ontologies. In this thesis, an ontology alignment technique has been developed in order to facilitate communication and build a bridge between ontologies. An efficient mechanism has been developed in order to align entities from ontologies in different description languages (e.g. OWL, RDF) or in the same language. This approach tries to use all the features of ontologies (concept, attributes, relations, structure, etc.) in order to obtain efficiency and high quality results. For this purpose, several matching techniques have been used such as string, structure, heuristic and linguistic matchingtechniques with thesaurus support, as well as human intervention in certain cases, to obtain high quality results. The main aim of the work is to introduce a method for finding semantic correspondences among heterogeneous ontologies, with the intention of supporting interoperability over given domains. The approach brings together techniques in modelling, string matching, computation linguistics, structure matching and heuristic matching, in order to provide a semi-automatic alignment framework and prototype alignment system to support the procedure of ontology alignment in order to improve semantic interoperability in heterogeneous systems. This technique integrates some important features in matching in order to achieve high quality results, which will help when searching and exchanging information between ontologies. Moreover, an ontology alignment system illustrates the solving of the key issues related to heterogeneous ontologies, which uses combination-matching strategies to execute the ontology-matching task. Therefore, it can be used to discover the matching between ontologies. This thesis also describes a prototype implementation of this approach in many real-world case studies extracted from various Web resources. Evaluating our system is done throughout the experiments provided by the Ontology Alignment Evaluation Initiative. The system successfully achieved 93% accuracy for ontology matching. Finally, a comparison between our system and well-known tools is achieved so that our system can be evaluated.

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Urea, Luis. "Storing and Searching Scientific Data with a Relational Database System." Thesis, Uppsala University, Department of Information Technology, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-98276.

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Working with scientific data involves analyzing large amounts of data. For High Energy Physics research, one is interested in analyzing series of different events that occur when particles collide and filter those that fulfill predefined conditions. With the proposed approach the conditions are expressed using numerical formulas expressed as SQL queries in a relational database (RDBMS). Different kinds of database representations were designed, studied, and compared in order to get the most efficient and scalable way to store and access the data for the application.

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Kyaw, Tin Htet. "Formatting and searching a massive, multi-parameter clinical information database." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/36788.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005.
Includes bibliographical references (p. 117-120).
Formatting data and executing time-oriented queries on a massive, multi-parameter clinical information database poses significant computational challenges. The challenges encountered in converting high-resolution waveform and trend signals in the MIMIC II (Multi-parameter Intelligent Monitoring for Intensive Care II) database from an error-prone proprietary format to a stable open-source WFDB (Waveform Database) format is presented in the first half of this thesis. The design and implementation of a search engine that is capable of executing time-series queries on clinical information in the MIMIC II database such as lab results, medications, and nurse-verified values from bedside monitors is presented in the second half of this thesis. The search engine employs simple algorithms with little storage overhead to identify time periods in patient records that satisfy time series criteria based on thresholds and gradients of unevenly-sampled measurements. Results from queries executed on the search engine to detect physiological events of clinical interest were presented. Case studies on patient records returned as hits for queries were performed to review the strengths and limitations of the search engine.
by Tin Htet Kyaw.
M.Eng.

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Lee, Chi-hung. "An efficient content-based searching engine for medical image database /." Hong Kong : University of Hong Kong, 1998. http://sunzi.lib.hku.hk/hkuto/record.jsp?B20667267.

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Porter, Brandi. "Information Retrieval Strategies of Millennial Undergraduate Students in Web and Library Database Searches." NSUWorks, 2009. http://nsuworks.nova.edu/gscis_etd/357.

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Millennial students make up a large portion of undergraduate students attending colleges and universities, and they have a variety of online resources available to them to complete academically related information searches, primarily Web based and library-based online information retrieval systems. The content, ease of use, and required search techniques are different between the two information retrieval systems. Students often prefer searching the Web, but in doing so often miss higher quality materials that may be available only through their library. Furthermore, each system uses different information retrieval algorithms for producing results, so proficiency in one search system may not transfer to another. Web based information retrieval systems are unable to search and retrieve many resources available in libraries and other proprietary information retrieval systems, often referred to as the Invisible Web. These are resources that are not available to the general public and are password protected (from anyone not considered to be an affiliated user of that particular organization). These resources are often licensed to libraries by third party vendors or publishers and include fee-based access to content. Therefore, many millennial students may not be accessing many scholarly resources available to them if they were to use Web based information retrieval systems. Investigation of how millennial students approach searches for the same topic in both systems was conducted. The goal was to build upon theory of why students search using various techniques, why they often choose the Web for their searches, and what can be done to improve library online information retrieval systems. Mixed qualitative methods of data gathering were used to elicit this information. The investigation showed that millennial undergraduate students lacked detailed search strategies, and often used the same search techniques regardless of system or subject. Students displayed greater familiarity and ease of use with Web based IR systems than online library IR systems. Results illustrated suggestions for search design enhancements to library online information retrieval systems such as better natural language searching and easier linking to full text articles. Design enhancements based on millennial search strategies should encourage students to use library-based information retrieval systems more often.

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Wu, Hejun. "Scheduling for in-network sensor query processing /." View abstract or full-text, 2008. http://library.ust.hk/cgi/db/thesis.pl?CSED%202008%20WU.

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Segal, Richard B. "Machine learning as massive search /." Thesis, Connect to this title online; UW restricted, 1997. http://hdl.handle.net/1773/6863.

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Acar, Aybar C. "Query consolidation interpreting queries sent to independent heterogenous databases /." Fairfax, VA : George Mason University, 2008. http://hdl.handle.net/1920/3223.

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Thesis (Ph.D.)--George Mason University, 2008.
Vita: p. 169. Thesis director: Amihai Motro. Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Computer Science. Title from PDF t.p. (viewed Aug. 27, 2008). Includes bibliographical references (p. 162-168). Also issued in print.

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Robins, David B. (David Bruce). "Shifts of Focus Among Dimensions of User Information Problems as Represented During Interactive Information Retrieval." Thesis, University of North Texas, 1998. https://digital.library.unt.edu/ark:/67531/metadc935560/.

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The goal of this study is to increase understanding of information problems as they are revealed in interactions among users and search intermediaries during information retrieval. Specifically, this study seeks to investigate: (a) how interaction between users and search intermediaries reveals aspects of user information problems; (b) to explore the concept of representation with respect to information problems in interactive information retrieval; and (c) how user and search intermediaries focus on aspects of user information problems during the course of searches. This project extends research on interactive information retrieval, and presents a theoretical framework that synthesizes rational and non-rational questions concerning mental representation as it pertains to user's understanding of information problems.

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Pikas, Christina K. "Blog Searching for Competitive Intelligence, Brand Image, and Reputation Management." Information Today, Inc, 2005. http://hdl.handle.net/10150/106424.

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Reviews why it is important to search blogs for competitive intelligence, reputation management, and brand image management. Describes the structure of blogs and how to format searches in several search engines to effectively retrieve this information.

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Sonavane, Jatin. "Generating relevant terms for concepts in a concept hierarchy." Diss., Online access via UMI:, 2005.

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Chu, Kai-wah Samuel, and 朱啟華. "Development of information search expertise of research students." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2004. http://hub.hku.hk/bib/B45014693.

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Kanchinadam, Krishna M. "DataMapX a tool for cross-mapping entities and attributes between bioinformatics databases /." Fairfax, VA : George Mason University, 2008. http://hdl.handle.net/1920/3135.

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Thesis (M.S.)--George Mason University, 2008.
Vita: p. 29. Thesis director: Jennifer Weller. Submitted in partial fulfillment of the requirements for the degree of Master of Science in Bioinformatics. Title from PDF t.p. (viewed July 7, 2008). Includes bibliographical references (p. 28). Also issued in print.

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Hendry, David G. "Extensible information-seeking environments." Thesis, Robert Gordon University, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.337903.

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Draeger, Marco. "Use of probabilistic topic models for search." Thesis, Monterey, California : Naval Postgraduate School, 2009. http://edocs.nps.edu/npspubs/scholarly/theses/2009/Sep/09Sep_Draeger.pdf.

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Thesis (M.S. in Operations Research)--Naval Postgraduate School, September 2009.
Thesis Advisor(s): Squire, Kevin M. "September 2009." Description based on title screen as viewed on November 5, 2009. Author(s) subject terms: Document modeling, information retrieval, semantic search, Bayesian nonparametric methods, hierarchical Bayes. Includes bibliographical references (p. 67-71). Also available in print.

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Chen, Hsinchun, and Jinwoo Kim. "GANNET: A machine learning approach to document retrieval." M.E. Sharpe, Inc, 1994. http://hdl.handle.net/10150/105547.

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Artificial Intelligence Lab, Department of MIS, University of Arizona
Information science researchers have recently turned to new artificial intelligence-based inductive learning techniques including neural networks, symbolic learning and genetic algorithms. An overview of the new techniques and their usage in information science research is provided. The algorithms adopted for a hybrid genetic algorithms and neural nets based system, called GANNET, are presented. GANNET performed concept (keyword) optimization for user-selected documents during information retrieval using the genetic algorithms. It then used the optimized concepts to perform concept exploration in a large network of related concepts through the Hopfield net parallel relaxation procedure. Based on a test collection of about 3,000 articles from DIALOG and an automatically created thesaurus, and using Jaccard's score as a performance measure, the experiment showed that GANNET improved the Jaccard's scores by about 50% and helped identify the underlying concepts that best describe the user-selected documents.

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Daniels, Kristine Jean. "Clustering of Database Query Results." Diss., CLICK HERE for online access, 2006. http://contentdm.lib.byu.edu/ETD/image/etd1282.pdf.

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Wong, Mark Alan. "Logging clickstream data into a database on a consolidated system /." Full text open access at:, 2002. http://content.ohsu.edu/u?/etd,274.

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Papadopoulos, Stavros. "Authenticated query processing /." View abstract or full-text, 2010. http://library.ust.hk/cgi/db/thesis.pl?CSED%202010%20PAPADO.

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陳淸儀 and Ching-yi Chan. "Image retrieval system based on texture and chromatic features." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2000. http://hub.hku.hk/bib/B31223953.

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Chan, Ching-yi. "Image retrieval system based on texture and chromatic features." Hong Kong : University of Hong Kong, 2000. http://sunzi.lib.hku.hk/hkuto/record.jsp?B22665249.

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Evans, Mary Marcum. "The influence of retrieval system on the outcomes of ERIC searches by graduate students /." Full-text version available from OU Domain via ProQuest Digital Dissertations, 1995.

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Francis, A. T., Razak C. Abdul, and Humayoon Kabir. "Role of library and information professionals as teachers and trainers in agricultural education: An experience of the Kerala Agricultural University, India." School of Communication & Information, Nanyang Technological University, 2006. http://hdl.handle.net/10150/105167.

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Poster paper
The latest developments in Information and Communication Technologies (ICT) have made the concept "Libraries without walls" into a practical reality. This has posed several challenges to the information work force and the information users. At the same time, we have noticed the issues related to the information overload and information quality. At this juncture, efforts are strengthening to develop means to persuade and equip the users and information specialists to achieve maximum efficiency in information services. It was observed that one of the important reasons for the under utilization of electronic information is the lack of requisite level of working knowledge and consumption skills among customers and information intermediaries (Sridhar, 1997). To improve the situation, the conventional user education programmes need be redefined and reengineered, to be it more technology oriented. It should be designed in such a way to provide confidence to the user in locating desired information (Francis, 2005).

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Chen, Hsinchun, Haiyan Fan, Michael Chau, and Daniel Zeng. "Testing a Cancer Meta Spider." Elsevier, 2003. http://hdl.handle.net/10150/106024.

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Artificial Intelligence Lab, Department of MIS, University of Arizona
As in many other applications, the rapid proliferation and unrestricted Web-based publishing of health-related content have made finding pertinent and useful healthcare information increasingly difficult. Although the development of healthcare information retrieval systems such as medical search engines and peer-reviewed medical Web directories has helped alleviate this information and cognitive overload problem, the effectiveness of these systems has been limited by low search precision, poor presentation of search results, and the required user search effort. To address these challenges, we have developed a domain-specific meta-search tool called Cancer Spider. By leveraging post-retrieval document clustering techniques, this system aids users in querying multiple medical data sources to gain an overview of the retrieved documents and locating answers of high quality to a wide spectrum of health questions. The system presents the retrieved documents to users in two different views: (1) Web pages organized by a list of key phrases, and (2) Web pages clustered into regions discussing different topics on a two-dimensional map (self-organizing map). In this paper, we present the major components of the Cancer Spider system and a user evaluation study designed to evaluate the effectiveness and efficiency of our approach. Initial results comparing Cancer Spider with NLM Gateway, a premium medical search site, have shown that they achieved comparable performances measured by precision, recall, and F-measure. Cancer Spider required less user searching time, fewer documents that need to be browsed, and less user effort.

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Taylor, Steven Joseph. "Children's usage of an information retrieval system /." Access Digital Full Text version, 1992. http://pocketknowledge.tc.columbia.edu/home.php/bybib/11230162.

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Thesis (Ed.D.)--Teachers College, Columbia University, 1992.
Includes tables. Typescript; issued also on microfilm. Sponsor: Robert O. McClintock. Dissertation Committee: Robert P. Taylor. Includes bibliographical references (leaves 149-157).

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Ruddarraju, Ravikrishna. "Indexing presentations using multiple media streams." Thesis, Available online, Georgia Institute of Technology, 2006, 2006. http://etd.gatech.edu/theses/available/etd-04042006-105103/.

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Järvelin, Kalervo. "User charge estimation in numeric online databases a methodology /." Tampere : University of Tampere, 1986. http://catalog.hathitrust.org/api/volumes/oclc/18665006.html.

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50

Chen, Songting. "Efficient incremental view maintenance for data warehousing." Link to electronic thesis, 2005. http://www.wpi.edu/Pubs/ETD/Available/etd-122005-193617/.

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Dissertation (Ph.D.)--Worcester Polytechnic Institute.
Keywords: View Matching; View Maintenance; Materialized View; Data Warehouse; Information Integration. Includes bibliographical references. (p.206-215)

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Dissertations / Theses on the topic 'Database searching'

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