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Dissertations / Theses on the topic 'Intelligent data analysis'

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Published: 4 June 2021

Last updated: 31 May 2022

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1

Cheng, Gongxian. "Outlier management in intelligent data analysis." Thesis, Birkbeck (University of London), 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.417120.

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2

Luo, Xu. "Power system fault analysis based on intelligent techniques and intelligent electronic device data." Texas A&M University, 2003. http://hdl.handle.net/1969.1/5797.

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This dissertation has focused on automated power system fault analysis. New contributions to fault section estimation, protection system performance evaluation and power system/protection system interactive simulation have been achieved. Intelligent techniques including expert systems, fuzzy logic and Petri-nets, as well as data from remote terminal units (RTUs) of supervisory control and data acquisition (SCADA) systems, and digital protective relays have been explored and utilized to fufill the objectives. The task of fault section estimation is difficult when multiple faults, failures of pr

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3

Doumit, Sarjoun S. "IONA: Intelligent Online News Analysis." University of Cincinnati / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1544001149153864.

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4

Corney, David Peter Alfred. "Intelligent analysis of small data sets for food design." Thesis, University College London (University of London), 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.399765.

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5

Hammah, Reginald Edmund. "Intelligent delineation of rock discontinuity data using fuzzy cluster analysis." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape11/PQDD_0012/NQ41436.pdf.

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6

Synnott, Jonathan. "Analysis, visualisation and simulation of sensor data within intelligent environments." Thesis, Ulster University, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.601204.

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Reductions in fertility combined with increases in life expectancy are resulting in a globally ageing population. The result is an increasing strain on healthcare resources as members of the older population are more prone to suffer from chronic illness hence requiring long-term care and management. One current focus of research is to investigate methods of alleviating the increased strain on healthcare resources through the use of intelligent environments (IEs). IEs incorporate the use of sensor technology to facilitate long-term, home-based assessment of health condition with the goal of min

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7

Zhang, Zixing [Verfasser]. "Semi-Autonomous Data Enrichment and Optimisation for Intelligent Speech Analysis / Zixing Zhang." München : Verlag Dr. Hut, 2015. http://d-nb.info/1074063066/34.

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8

Zhou, Shang-Ming. "Machine learning and intelligent data analysis for interpretable neuro-fuzzy system modelling." Thesis, University of Essex, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.426019.

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9

Khan, Atif A. "Intelligent data analysis for pattern recognition and medical diagnosis of ageing spine." Thesis, University of Warwick, 2014. http://wrap.warwick.ac.uk/66677/.

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Every year, the healthcare industry collects a huge volume of data that is not mined properly and not put to optimal use. Discovery of the hidden patterns and relationships in data often goes unexploited. Data mining in the medical domain is more rigorous and complex to handle as most available raw medical data are voluminous and heterogeneous in nature. This research mines medical data related to human spine by learning patterns through the collected data and develops medical decision support systems based on intelligent system techniques. This study will help medical specialists in clinical

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10

Ercan, Tolga. "Sustainability Analysis of Intelligent Transportation Systems." Master's thesis, University of Central Florida, 2013. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/5934.

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Commuters in urban areas suffer from traffic congestion on a daily basis. The increasing number of vehicles and vehicle miles traveled (VMT) are exacerbating this congested roadway problem for society. Although literature contains numerous studies that strive to propose solutions to this congestion problem, the problem is still prevalent today. Traffic congestion problem affects society's quality of life socially, economically, and environmentally. In order to alleviate the unsustainable impacts of the congested roadway problem, Intelligent Transportation Systems (ITS) has been utilized to imp

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11

Monsky, Anneke [Verfasser]. "Understanding interferometric drag-free sensors in space using intelligent data analysis tools / Anneke Monsky." Hannover : Technische Informationsbibliothek und Universitätsbibliothek Hannover, 2010. http://d-nb.info/1008374849/34.

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12

Woodford, Brendon James, and n/a. "Connectionist-Based Intelligent Information Systems for image analysis and knowledge engineering : applications in horticulture." University of Otago. Department of Information Science, 2008. http://adt.otago.ac.nz./public/adt-NZDU20080515.111549.

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New Zealand�s main export earnings come from the primary production area including agriculture, horticulture, and viticulture. One of the major contributors in this area of horticulture is the production of quality export grade fruit; specifically apples. In order to maintain a competitive advantage, the systems and methods used to grow the fruit are constantly being refined and are increasingly based on data collected and analysed by both the orchardist who grows the produce and also researchers who refine the methods used to determine high levels of fruit quality. To support the task of da

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13

Faramarzi, Asaad. "Intelligent computational solutions for constitutive modelling of materials in finite element analysis." Thesis, University of Exeter, 2011. http://hdl.handle.net/10036/3305.

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Over the past decades simulation techniques, and in particular finite element method, have been used successfully to predict the response of systems across a whole range of industries including aerospace, automotive, chemical processes, geotechnical engineering and many others. In these numerical analyses, the behaviour of the actual material is approximated with that of an idealised material that deforms in accordance with some constitutive relationships. Therefore, the choice of an appropriate constitutive model that adequately describes the behaviour of the material plays an important role

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14

Lyubchyk, Leonid, Vladislav Kolbasin, and Galina Grinberg. "Nonlinear dynamic system kernel based reconstruction from time series data." Thesis, ТВіМС, 2015. http://repository.kpi.kharkov.ua/handle/KhPI-Press/36826.

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A unified approach to reccurent kernel identification algorithms design is proposed. In order to fix the auxiliary vector dimension, the reduced order model kernel method is proposed and proper reccurent identification algorithms are designed.

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15

Siraj, Ambareen. "A unified alert fusion model for intelligent analysis of sensor data in an intrusion detection environment." Diss., Mississippi State : Mississippi State University, 2006. http://sun.library.msstate.edu/ETD-db/ETD-browse/browse.

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16

Ayala, Cabrera David. "Characterization of components of water supply systems from GPR images and tools of intelligent data analysis." Doctoral thesis, Universitat Politècnica de València, 2015. http://hdl.handle.net/10251/59235.

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[EN] Over time, due to multiple operational and maintenance activities, the networks of water supply systems (WSSs) undergo interventions, modifications or even are closed. In many cases, these activities are not properly registered. Knowledge of the paths and characteristics (status and age, etc.) of the WSS pipes is obviously necessary for efficient and dynamic management of such systems. This problem is greatly augmented by considering the detection and control of leaks. Access to reliable leakage information is a complex task. In many cases, leaks are detected when the damage is already co

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17

Mata, Domingo A. "Validation of a new technique of production data analysis for single and multi-layer formations under controlled environment." Morgantown, W. Va. : [West Virginia University Libraries], 2007. https://eidr.wvu.edu/etd/documentdata.eTD?documentid=5369.

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Thesis (M.S.)--West Virginia University, 2007.<br>Title from document title page. Document formatted into pages; contains viii, 105 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 95).

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18

Bouali, Tarek. "Platform for efficient and secure data collection and exploitation in intelligent vehicular networks." Thesis, Dijon, 2016. http://www.theses.fr/2016DIJOS003/document.

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De nos jours, la filiale automobile connait une évolution énorme en raison de la croissance évolutive des technologies de communication, des aptitudes de détection et de perception de l’environnement, et des capacités de stockage et de traitement présentes dans les véhicules. En effet, une voiture est devenue une sorte d'agent mobile capable de percevoir son environnement et d’en collecter des informations, de communiquer avec les autres véhicules ou infrastructures présentes sur la route, et de traiter les données collectées. Ces progrès stimulent le développement de plusieurs types d'applica

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19

Lin, Lei. "Data science application in intelligent transportation systems| An integrative approach for border delay prediction and traffic accident analysis." Thesis, State University of New York at Buffalo, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3683052.

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<p> With the great progress in information and communications technologies in the past few decades, intelligent transportation systems (ITS) have accumulated vast amounts of data regarding the movement iof people and goods from one location to another. Besides the traditional fixed sensors and GPS devices, new emerging data sources and approaches such as social media and crowdsourcing can be used to extract travel-related data, especially given the wide popularity of mobile devices such as smartphones and tablets, along with their associated apps. To take advantage of all these data and to add

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20

Balakrishnan, Arjun. "Integrity Analysis of Data Sources in Multimodal Localization System." Thesis, université Paris-Saclay, 2020. http://www.theses.fr/2020UPASG060.

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Les véhicules intelligents sont un élément clé pour des systèmes de transport plus sûrs, efficaces et accessibles à travers le monde. En raison de la multitude de sources de données et de processus associés aux véhicules intelligents, la fiabilité de l'ensemble du système dépend fortement de la possibilité d'erreurs ou de mauvaises performances observées dans ses composants. Dans notre travail, nous nous intéressons à la tâche critique de localisation des véhicules intelligents et relevons les défis de la surveillance de l'intégrité des sources de données utilisées dans la localisation. La con

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21

Albert, Michael Verfasser], Klaus [Gutachter] [Schilling, Ute [Gutachter] Schmid, and Berthold [Gutachter] Jany. "Intelligent analysis of medical data in a generic telemedicine infrastructure / Michael Albert ; Gutachter: Klaus Schilling, Ute Schmid, Berthold Jany." Würzburg : Universität Würzburg, 2019. http://d-nb.info/1177686791/34.

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Albert, Michael [Verfasser], Klaus [Gutachter] Schilling, Ute [Gutachter] Schmid, and Berthold [Gutachter] Jany. "Intelligent analysis of medical data in a generic telemedicine infrastructure / Michael Albert ; Gutachter: Klaus Schilling, Ute Schmid, Berthold Jany." Würzburg : Universität Würzburg, 2019. http://d-nb.info/1177686791/34.

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23

Єфіменко, Тетяна Михайлівна, Татьяна Михайловна Ефименко, Tetiana Mykhailivna Yefimenko, Олена Владиславівна Коробченко, Елена Владиславовна Коробченко, and Olena Vladyslavivna Korobchenko. "Informational Extreme Cluster Analysis of Input Data." Thesis, Sumy State University, 2016. http://essuir.sumdu.edu.ua/handle/123456789/47076.

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The categorical model and decision support system learning algorithm are considered in the article. Proposed algorithm allows to create decision support system, which is functioning in a clusteranalysis state. Synthesis of the decision support system is based on maximization of informational system ability due to making additional information restrictions in the learning process.

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24

Calabrese, Francesca. "Vibration Monitoring and Intelligent Diagnosis Tools for Condition-Based Maintenance." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017.

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Ogni impianto di produzione è caratterizzato da periodi di operatività, nei quali funziona correttamente, e da periodi di fermo, dovuti alla presenza di guasti o all’esigenza di effettuare attività volte a ristabilire il suo normale comportamento. L’obiettivo principale della funzione manutenzione è minimizzare i periodi di fermo impianto, al fine di renderlo il più disponibile possibile. Attualmente, la manutenzione basata su condizione (CBM) è una delle più politiche più efficaci adottate dalle industrie. Essa è basata sul monitoraggio di diversi parametri della macchina che ne riflettono

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25

Puri, Anuj. "Statistical profile generation of real-time UAV-based traffic data." [Tampa, Fla] : University of South Florida, 2008. http://purl.fcla.edu/usf/dc/et/SFE0002674.

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26

Honeker, Kenneth S. "An analysis of using intelligent digital data to reduce the spare and repair parts inventory for the New Attack Submarine (NSSN)." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1997. http://handle.dtic.mil/100.2/ADA341330.

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Thesis (M.S. in Management) Naval Postgraduate School, September 1997.<br>"September 1997." Thesis advisor(s): Kenneth J. Euske, Alan W. McMasters. Includes bibliographical references (p. 139-152). Also available online.

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27

Fan, Chi-kit, and 樊智傑. "Design and analysis of agent-based FMS control systems." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2005. http://hub.hku.hk/bib/B31580324.

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28

Zhang, Zixing [Verfasser], Björn W. [Akademischer Betreuer] Schuller, and Gordon [Akademischer Betreuer] Cheng. "Semi-Autonomous Data Enrichment and Optimisation for Intelligent Speech Analysis / Zixing Zhang. Gutachter: Björn W. Schuller ; Gordon Cheng. Betreuer: Björn W. Schuller." München : Universitätsbibliothek der TU München, 2015. http://d-nb.info/1070372382/34.

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29

Zhang, Zixing Verfasser], Björn [Akademischer Betreuer] [Schuller, and Gordon [Akademischer Betreuer] Cheng. "Semi-Autonomous Data Enrichment and Optimisation for Intelligent Speech Analysis / Zixing Zhang. Gutachter: Björn W. Schuller ; Gordon Cheng. Betreuer: Björn W. Schuller." München : Universitätsbibliothek der TU München, 2015. http://nbn-resolving.de/urn:nbn:de:bvb:91-diss-20150416-1231696-1-6.

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30

Wu, Hao. "Analysis and Design of Vehicular Networks." Diss., Georgia Institute of Technology, 2005. http://hdl.handle.net/1853/7639.

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Advances in computing and wireless communication technologies have increased interest in smart vehicles, vehicles equipped with significant computing, communication and sensing capabilities to provide services to travelers. Smart vehicles can be exploited to improve driving safety and comfort as well as optimize surface transportation systems. Wireless communications among vehicles and between vehicles and roadside infrastructures represent an important class of vehicle communications. One can envision creating an integrated radio network leveraging various wireless technologies that wor

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31

Hoopes, Daniel Matthew. "The ContexTable: Building and Testing an Intelligent, Context-Aware Kitchen Table." BYU ScholarsArchive, 2004. https://scholarsarchive.byu.edu/etd/12.

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The purpose of this thesis was to design and evaluate The ContexTable, a context-aware system built into a kitchen table. After establishing the current status of the field of context-aware systems and the hurdles and problems being faced, a functioning prototype system was designed and built. The prototype makes it possible to explore established, untested theory and novel solutions to problems faced in the field.

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32

Essegbey, John W. "Piece-wise Linear Approximation for Improved Detection in Structural Health Monitoring." University of Cincinnati / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1342729241.

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33

Westerlund, Per. "Business Intelligence: Multidimensional Data Analysis." Thesis, Umeå universitet, Institutionen för datavetenskap, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-138758.

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The relational database model is probably the most frequently used database model today. It has its strengths, but it doesn’t perform very well with complex queries and analysis of very large sets of data. As computers have grown more potent, resulting in the possibility to store very large data volumes, the need for efficient analysis and processing of such data sets has emerged. The concept of Online Analytical Processing (OLAP) was developed to meet this need. The main OLAP component is the data cube, which is a multidimensional database model that with various techniques has accomplished a

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34

Teng, Sin Yong. "Intelligent Energy-Savings and Process Improvement Strategies in Energy-Intensive Industries." Doctoral thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2020. http://www.nusl.cz/ntk/nusl-433427.

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S tím, jak se neustále vyvíjejí nové technologie pro energeticky náročná průmyslová odvětví, stávající zařízení postupně zaostávají v efektivitě a produktivitě. Tvrdá konkurence na trhu a legislativa v oblasti životního prostředí nutí tato tradiční zařízení k ukončení provozu a k odstavení. Zlepšování procesu a projekty modernizace jsou zásadní v udržování provozních výkonů těchto zařízení. Současné přístupy pro zlepšování procesů jsou hlavně: integrace procesů, optimalizace procesů a intenzifikace procesů. Obecně se v těchto oblastech využívá matematické optimalizace, zkušeností řešitele a pr

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35

Cioaca, Alexandru George. "A Computational Framework for Assessing and Optimizing the Performance of Observational Networks in 4D-Var Data Assimilation." Diss., Virginia Tech, 2013. http://hdl.handle.net/10919/51795.

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A deep scientific understanding of complex physical systems, such as the atmosphere, can be achieved neither by direct measurements nor by numerical simulations alone. Data assimilation is a rigorous procedure to fuse information from a priori knowledge of the system state, the physical laws governing the evolution of the system, and real measurements, all with associated error statistics. Data assimilation produces best (a posteriori) estimates of model states and parameter values, and results in considerably improved computer simulations. The acquisition and use of observations in data ass

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36

Slaninková, Michaela. "Business Intelligence jako nástroj analýzy dat." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2018. http://www.nusl.cz/ntk/nusl-378340.

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The diploma thesis focuses on the usage of Business Intelligence for the analysis of the provided employee data. It describes the process of creating dashboards in the chosen Business Intelligence tools, compares them based on the defined criteria and chooses the most suitable tool. The diploma thesis also contains a description of an implementation process of the created solution and an economic evaluation including costs and benefits.

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37

Curlette, Christina M. "Artificial intelligence-assisted data analysis with BayesDB." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/119517.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 67-68).<br>When applying machine learning and statistics techniques to real-world datasets, problems often arise due to missing data or errors from black-box predictive models that are difficult to understand or explain in t

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38

Butler, Patrick Julian Carey. "Knowledge Discovery in Intelligence Analysis." Diss., Virginia Tech, 2014. http://hdl.handle.net/10919/48422.

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Intelligence analysts today are faced with many challenges, chief among them being the need to fuse disparate streams of data, as well as rapidly arrive at analytical decisions and quantitative predictions for use by policy makers. These problems are further exacerbated by the sheer volume of data that is available to intelligence analysts. Machine learning methods enable the automated transduction of such large datasets from raw feeds to actionable knowledge but successful use of such methods require integrated frameworks for contextualizing them within the work processes of the analyst. Inte

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Xiong, Xiaolu. "Theory and Practice: Improving Retention Performance through Student Modeling and System Building." Digital WPI, 2017. https://digitalcommons.wpi.edu/etd-dissertations/139.

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The goal of Intelligent Tutoring systems (ITSs) is to engage the students in sustained reasoning activity and to interact with students based on a deep understanding of student behavior. In order to understand student behavior, ITSs rely on student modeling methods to observes student actions in the tutor and creates a quantitative representation of student knowledge, interests, affective states. Good student models are going to effectively help ITSs customize instructions, engage student's interest and then promote learning. Thus, the work of building ITSs and advancing student modeling shoul

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Pullokkaran, Laijo John. "Analysis of data virtualization & enterprise data standardization in business intelligence." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/90703.

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Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, Engineering Systems Division, System Design and Management Program, 2013.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (page 59).<br>Business Intelligence is an essential tool used by enterprises for strategic, tactical and operational decision making. Business Intelligence most often needs to correlate data from disparate data sources to derive insights. Unifying data from disparate data sources and providing a unifying view of data is generally known as data integration. Trad

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Riera, Sardà Alexandre. "Computational Intelligence Techniques for Electro-Physiological Data Analysis." Doctoral thesis, Universitat de Barcelona, 2012. http://hdl.handle.net/10803/107818.

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This work contains the efforts I have made in the last years in the field of Electrophysiological data analysis. Most of the work has been done at Starlab Barcelona S.L. and part of it at the Neurodynamics Laboratory of the Department of Psychiatry and Clinical Psychobiology of the University of Barcelona. The main work deals with the analysis of electroencephalography (EEG) signals, although other signals, such as electrocardiography (ECG), electroculography (EOG) and electromiography (EMG) have also been used. Several data sets have been collected and analysed applying advanced Signal Proces

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Stuart, Graeme. "Monitoring energy performance in local authority buildings." Thesis, De Montfort University, 2011. http://hdl.handle.net/2086/4964.

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Energy management has been an important function of organisations since the oil crisis of the mid 1970’s led to hugely increased costs of energy. Although the financial costs of energy are still important, the growing recognition of the environmental costs of fossil-fuel energy is becoming more important. Legislation is also a key driver. The UK has set an ambitious greenhouse gas (GHG) reduction target of 80% of 1990 levels by 2050 in response to a strong international commitment to reduce GHG emissions globally. This work is concerned with the management of energy consumption in buildings th

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Karlsson, Rebecka. "Data as Intelligence : A Study of Business Intelligence as Decision Support." Thesis, Internationella Handelshögskolan, Högskolan i Jönköping, IHH, Företagsekonomi, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-21276.

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Introduction: The term Business Intelligence arose in the mid-1990s and is a growing share of the IT market. The need of Business Intelligence emerges from an increasing competition and a constantly changing and more complex business climate. Problem discussion: There are only few examples of research dealing with data-driven decision processes. How data are incorporated in decision making processes is crucial for the future use of decision support systems. The literature stress that managers must use more analytics and rationality to make better and more appropriate decisions. However, previo

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Havránek, Denis. "Business Intelligence v pojišťovnictví." Master's thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-74868.

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The thesis focuses on the application of Business Intelligence technologies in the insurance area, aiming concretely at their use in insurance companies. The aim is to introduce and summarize the various processes and information needs that are part of an insurance company and the ways that business intelligence tools can support and improve those processes. To achieve this goal I describe and present the internal functioning of the main processes in insurance companies emphasizing on data examples and the concrete use of BI. Furthermore, I point out two specific examples of Business Intellige

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45

Volf, Roman. "Competitive Intelligence ve vybrané společnosti." Master's thesis, Vysoká škola ekonomická v Praze, 2012. http://www.nusl.cz/ntk/nusl-203712.

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This thesis deals with the possibilities of using methods of Competitive Intelligence in practice. The main objective of thesis is to design and realize system for collecting, analysis and distribution of data to end users at Crystal Glamour, Ins. To achieve this goal was set several sub - objectives. Analyze the company activities, find its strengths and weaknesses, identify opportunities and threats of company. Based on these data are identified goals of CI and information sources that cover the domain of interest. Then, using software applications from Tovek, spol. Ltd., the relevant articl

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Cotra, Aditya Kousik. "Trend Analysis on Artificial Intelligence Patents." University of Cincinnati / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1617104823936441.

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McHenry, John James. "Exploring Best Practices to Utilize Business Intelligence Systems." ScholarWorks, 2016. https://scholarworks.waldenu.edu/dissertations/2742.

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Organizational leaders who can manage business intelligence system (BIS) resources may achieve sustainable success in economic, political, and corporate environments. The review of professional literature indicated that effective resource management in a BIS environment requires the establishment of best practice. The purpose of this qualitative, single-case study was to explore best practices among 9 BIS practitioners for effective resource management. Participation criteria included the active engagement in BIS professional disciplines and the willingness to share their perspectives. The con

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Zhu, Shuxiang. "Big Data System to Support Natural Disaster Analysis." Case Western Reserve University School of Graduate Studies / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=case1592404690195316.

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Pearson, Kyle A., Leon Palafox, and Caitlin A. Griffith. "Searching for exoplanets using artificial intelligence." OXFORD UNIV PRESS, 2018. http://hdl.handle.net/10150/627143.

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In the last decade, over a million stars were monitored to detect transiting planets. Manual interpretation of potential exoplanet candidates is labour intensive and subject to human error, the results of which are difficult to quantify. Here we present a new method of detecting exoplanet candidates in large planetary search projects that, unlike current methods, uses a neural network. Neural networks, also called 'deep learning' or 'deep nets', are designed to give a computer perception into a specific problem by training it to recognize patterns. Unlike past transit detection algorithms, dee

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Isah, Haruna. "Social Data Mining for Crime Intelligence: Contributions to Social Data Quality Assessment and Prediction Methods." Thesis, University of Bradford, 2017. http://hdl.handle.net/10454/16066.

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Abstract:

With the advancement of the Internet and related technologies, many traditional crimes have made the leap to digital environments. The successes of data mining in a wide variety of disciplines have given birth to crime analysis. Traditional crime analysis is mainly focused on understanding crime patterns, however, it is unsuitable for identifying and monitoring emerging crimes. The true nature of crime remains buried in unstructured content that represents the hidden story behind the data. User feedback leaves valuable traces that can be utilised to measure the quality of various aspects of pr

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