Relevant bibliographies by topics / Housing Research Data Center / Dissertations / Theses
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Dissertations / Theses on the topic 'Housing Research Data Center'

Author: Grafiati
Published: 28 July 2024
Last updated: 31 July 2025

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1

Bjarnadóttir, Margrét Vilborg. "Data-driven approach to health care : applications using claims data." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/45946.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2008.<br>Includes bibliographical references (p. 123-130).<br>Large population health insurance claims databases together with operations research and data mining methods have the potential of significantly impacting health care management. In this thesis we research how claims data can be utilized in three important areas of health care and medicine and apply our methods to a real claims database containing information of over two million health plan members. First, we develop forec
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Le, Guen Thibault. "Data-driven pricing." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/45627.

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Thesis (S.M.)--Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2008.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Includes bibliographical references (p. 143-146).<br>In this thesis, we develop a pricing strategy that enables a firm to learn the behavior of its customers as well as optimize its profit in a monopolistic setting. The single product case as well as the multi product case are considered under different parametric forms of demand
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Shioda, Romy 1977. "Integer optimization in data mining." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/17579.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2003.<br>Includes bibliographical references (p. 103-107).<br>While continuous optimization methods have been widely used in statistics and data mining over the last thirty years, integer optimization has had very limited impact in statistical computation. Thus, our objective is to develop a methodology utilizing state of the art integer optimization methods to exploit the discrete character of data mining problems. The thesis consists of two parts: The first part illustrates a mixed
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4

Cheung, Wang Chi. "Data-driven algorithms for operational problems." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/108916.

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Thesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2017.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 173-180).<br>In this thesis, we propose algorithms for solving revenue maximization and inventory control problems in data-driven settings. First, we study the choice-based network revenue management problem. We propose the Approximate Column Generation heuristic (ACG) and Potential Based algorithm (PB) for solving the Choice-based Deterministic Linear Program, an LP relaxation to the problem,
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Snyder, Ashley M. (Ashley Marie). "Data mining and visualization : real time predictions and pattern discovery in hospital emergency rooms and immigration data." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/61199.

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Thesis (S.M.)--Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2010.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 163-166).<br>Data mining is a versatile and expanding field of study. We show the applications and uses of a variety of techniques in two very different realms: Emergency department (ED) length of stay prediction and visual analytics. For the ED, we investigate three data mining techniques to predict a patient's length of stay based solely on the information available at the patient's arrival. We
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Gupta, Vishal Ph D. Massachusetts Institute of Technology. "Data-driven models for uncertainty and behavior." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/91301.

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Thesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2014.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>117<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 173-180).<br>The last decade has seen an explosion in the availability of data. In this thesis, we propose new techniques to leverage these data to tractably model uncertainty and behavior. Specifically, this thesis consi
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7

McCord, Christopher George. "Data-driven dynamic optimization with auxiliary covariates." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/122098.

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This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Thesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2019<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 183-190).<br>Optimization under uncertainty forms the foundation for many of the fundamental problems the operations research community seeks to solve. In this thesis, we develop and analyze algorithms that incorporate ideas from
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Blanks, Zachary D. "A generalized hierarchical approach for data labeling." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/122386.

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This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Thesis: S.M., Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2019<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 85-90).<br>The goal of this thesis was to develop a data type agnostic classification algorithm best suited for problems where there are a large number of similar labels (e.g., classifying a port versus a shipyard). The most common approach to this i
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9

Ng, Yee Sian. "Advances in data-driven models for transportation." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/122100.

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This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Thesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2019<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 163-176).<br>With the rising popularity of ride-sharing and alternative modes of transportation, there has been a renewed interest in transit planning to improve service quality and stem declining ridership. However, it often take
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Ma, Wei (Will Wei). "Dynamic, data-driven decision-making in revenue management." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/120224.

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Thesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2018.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 233-241).<br>Motivated by applications in Revenue Management (RM), this thesis studies various problems in sequential decision-making and demand learning. In the first module, we consider a personalized RM setting, where items with limited inventories are recommended to heterogeneous customers sequentially visiting an e-commerce platform. We take the perspective of worst-case competitive ratio
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Papush, Anna. "Data-driven methods for personalized product recommendation systems." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/115655.

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Thesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2018.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references.<br>The online market has expanded tremendously over the past two decades across all industries ranging from retail to travel. This trend has resulted in the growing availability of information regarding consumer preferences and purchase behavior, sparking the development of increasingly more sophisticated product recommendation systems. Thus, a competitive edge in this rapidly growing sector could b
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12

Sturt, Bradley Eli. "Dynamic optimization in the age of big data." Thesis, Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/127292.

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Thesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, May, 2020<br>Cataloged from the official PDF of thesis.<br>Includes bibliographical references (pages 241-249).<br>This thesis revisits a fundamental class of dynamic optimization problems introduced by Dantzig (1955). These decision problems remain widely studied in many applications domains (e.g., inventory management, finance, energy planning) but require access to probability distributions that are rarely known in practice. First, we propose a new data-driven approach for addressi
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Anderson, Ross Michael. "Stochastic models and data driven simulations for healthcare operations." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/92055.

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Thesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2014.<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 251-257).<br>This thesis considers problems in two areas in the healthcare operations: Kidney Paired Donation (KPD) and scheduling medical residents in hospitals. In both areas, we explore the implications of policy change throu
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Harris, William Ray. "Anomaly detection methods for unmanned underwater vehicle performance data." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/98718.

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Thesis: S.M., Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2015.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 101-102).<br>This thesis considers the problem of detecting anomalies in performance data for unmanned underwater vehicles(UUVs). UUVs collect a tremendous amount of data, which operators are required to analyze between missions to determine if vehicle systems are functioning properly. Operators are typically under heavy time constraints when performing this data analysis. The goal of this resea
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Uichanco, Joline Ann Villaranda. "Data-driven optimization and analytics for operations management applications." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/85695.

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Thesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2013.<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 163-166).<br>In this thesis, we study data-driven decision making in operation management contexts, with a focus on both theoretical and practical aspects. The first part of the thesis analyzes the well-known newsvendor model bu
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Menjoge, Rajiv (Rajiv Shailendra). "New procedures for visualizing data and diagnosing regression models." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/61190.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2010.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 97-103).<br>This thesis presents new methods for exploring data using visualization techniques. The first part of the thesis develops a procedure for visualizing the sampling variability of a plot. The motivation behind this development is that reporting a single plot of a sample of data without a description of its sampling variability can be uninformative and misleading in the same way that re
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Weinstein, Alexander Michael. "From data to decisions in healthcare : an optimization perspective." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/112011.

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Thesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 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 107-110).<br>The past few decades have seen many methodological and technological advances in optimization, statistics, and machine learning. What is still not well understood is how to combine these tools to take data as inputs
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Yan, Julia(Julia Y. ). "From data to decisions in urban transit and logistics." Thesis, Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/127296.

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Thesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, May, 2020<br>Cataloged from the official PDF of thesis.<br>Includes bibliographical references (pages 145-155).<br>Urban transit and city logistics have undergone major changes in recent years, including increased peak congestion, shrinking mass transit ridership, and the introduction of ride-sharing and micro-mobility platforms. At the same time, widespread data collection offers transit agencies insight into their riders in unprecedented detail. In this setting, data has the potenti
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Singhvi, Divya. "Data-driven decision making in online and offline retail/." Thesis, Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/129361.

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Thesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, September, 2020<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 228-238).<br>.Retail operations have experienced a transformational change in the past decade with the advent and adoption of data-driven approaches to drive decision making. Granular data collection has enabled firms to make personalized decisions that improve customer experience and maintain long-term engagement. In this thesis we discuss important problems that r
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Dimaki, Georgia. "Dynamic node clustering in hierarchical optical data center network architectures." Thesis, Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/128973.

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Thesis: S.M., Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, September, 2020<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 127-134).<br>During the past decade an increasing trend in the Data Center Network's traffic has been observed. This traffic is characterized mostly by many small bursty flows (mice) that last for less than few milliseconds as well as a few heavier more persistent (elephant) flows between certain number of nodes. As a result many relatively underutilized network links become momentaril
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Mišić, Velibor V. "Data, models and decisions for large-scale stochastic optimization problems." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/105003.

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Thesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2016.<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 204-209).<br>Modern business decisions exceed human decision making ability: often, they are of a large scale, their outcomes are uncertain, and they are made in multiple stages. At the same time, firms have increasing access to
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Doan, Xuan Vinh. "Optimization under moment, robust, and data-driven models of uncertainty." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/57538.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2010.<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 (p. 151-156).<br>We study the problem of moments and present two diverse applications that apply both the hierarchy of moment relaxation and the moment duality theory. We then propose a moment-based uncertainty model for stochastic op
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Flietstra, Bryan C. "A data mining approach for acoustic diagnosis of cardiopulmonary disease." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/45400.

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Thesis (S.M.)--Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2008.<br>Includes bibliographical references (p. 107-111).<br>Variations in training and individual doctor's listening skills make diagnosing a patient via stethoscope based auscultation problematic. Doctors have now turned to more advanced devices such as x-rays and computed tomography (CT) scans to make diagnoses. However, recent advances in lung sound analysis techniques allow for the auscultation to be performed with an array of microphones, which send the lung sounds to a computer
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Sun, Peng 1974. "Constructing learning models from data : the dynamic catalog mailing problem." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/16927.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2003.<br>Includes bibliographical references (p. 105-107).<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>The catalog industry is a large and important industry in the US economy. One of the most important and challenging business decisions in the industry is to decide who should receive catalogs, due to the significant mailing cost and the low response rate. The problem is a dyn
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Kallus, Nathan. "From data to decisions through new interfaces between optimization and statistics." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/98570.

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Thesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2015.<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 283-293).<br>The growing availability of data is creating opportunities for making better decisions, but in many circumstances it is yet unknown how to correctly leverage this data in systematic and optimal ways. In this thesis,
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Amjad, Muhammad Jehangir. "Sequential data inference via matrix estimation : causal inference, cricket and retail." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/120190.

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Thesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2018.<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 185-193).<br>This thesis proposes a unified framework to capture the temporal and longitudinal variation across multiple instances of sequential data. Examples of such data include sales of a product over a period of time across
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Le, Tallec Yann. "Robust, risk-sensitive, and data-driven control of Markov Decision Processes." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/38598.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2007.<br>Includes bibliographical references (p. 201-211).<br>Markov Decision Processes (MDPs) model problems of sequential decision-making under uncertainty. They have been studied and applied extensively. Nonetheless, there are two major barriers that still hinder the applicability of MDPs to many more practical decision making problems: * The decision maker is often lacking a reliable MDP model. Since the results obtained by dynamic programming are sensitive to the assumed MDP mod
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Anoun, Amine. "A data-driven approach to mitigate risk in global food supply chains." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/112084.

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Thesis: S.M., Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2017.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 141-143).<br>Economically motivated adulteration of imported food poses a serious threat to public health, and has contributed to several poisoning incidents in the past few years in the U.S. [1]. Prevention is achieved by sampling food shipments coming to the U.S. However, the sampling resources are limited: all shipments are electronically sampled [2], but only a small percentage of shipments
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Fields, Evan(Evan Jerome). "Demand uncensored : car-sharing mobility services using data-driven and simulation-based techniques." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/121825.

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Thesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2019<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 141-145).<br>In the design and operation of urban mobility systems, it is often desirable to understand patterns in traveler demand. However, demand is typically unobserved and must be estimated from available data. To address this disconnect, we begin by proposing a method for recovering an unknown probability distribution given a censored or truncated sample from that distribution. The propos
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Pawlowski, Colin. "Machine learning for problems with missing and uncertain data with applications to personalized medicine." Thesis, Massachusetts Institute of Technology, 2019.

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This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Thesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2019<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 205-215).<br>When we try to apply statistical learning in real-world applications, we frequently encounter data which include missing and uncertain values. This thesis explores the problem of learning from missing and uncertain da
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Hong, Xinting. "INTEGRATED DATA INTEGRATION AND STATISTICAL ANALYSIS PLATFORM FOR MULTI-CENTER EPILEPSY RESEARCH." Case Western Reserve University School of Graduate Studies / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=case1562864784609067.

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Singhvi, Somya. "Improving farmers' and consumers' welfare in agricultural supply chains via data-driven analytics and modeling : from theory to practice." Thesis, Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/129083.

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Thesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, September, 2020<br>Page 236 blank. Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 223-235).<br>The upstream parts of the agricultural supply chain consists of millions of smallholder farmers who continue to suffer from extreme poverty. The first stream of research in this thesis focuses on online agri-platforms which have been launched to connect geographically isolated markets in many developing countries. This work is in close collaboration with
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Marks, Pamela Anne. "An internship with the Ohio Evaluation & Assessment Center." Connect to this document online, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=miami1132689480.

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Thesis (M.T.S.C.)--Miami University, Dept. of English, 2005.<br>Title from first page of PDF document. Document formatted into pages; contains [1], vi, 55 p. : ill. Includes bibliographical references (p. 33).
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Lux, Jessica, Bob Downing, and Jack Sheldon. "DESIGN OF A MISSION DATA STORAGE AND RETRIEVAL SYSTEM FOR NASA DRYDEN FLIGHT RESEARCH CENTER." International Foundation for Telemetering, 2007. http://hdl.handle.net/10150/604506.

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ITC/USA 2007 Conference Proceedings / The Forty-Third Annual International Telemetering Conference and Technical Exhibition / October 22-25, 2007 / Riviera Hotel & Convention Center, Las Vegas, Nevada<br>The Western Aeronautical Test Range (WATR) at the NASA Dryden Flight Research Center (DFRC) employs the WATR Integrated Next Generation System (WINGS) for the processing and display of aeronautical flight data. This report discusses the post-mission segment of the WINGS architecture. A team designed and implemented a system for the near- and long-term storage and distribution of mission data f
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Rosenberg, Scott A. (Scott Alden) 1973. "Managing a data analysis production line : an example from the Whitehead/MIT Center for Genomic Research." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/87865.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science; and, (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; in conjunction with the Leaders for Manufacturing Program at MIT, 2003.<br>Vita.<br>Includes bibliographical references (p. 93).<br>by Scott A. Rosenberg.<br>S.M.<br>M.B.A.
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Frumin, Michael S. "Automatic data for applied railway management : passenger demand, service quality measurement, and tactical planning on the London Overground Network." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/61512.

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Thesis (S.M. in Transportation)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering; and, (S.M.)--Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2010.<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 (p. 201-209).<br>The broad goal of this thesis is to demonstrate the potential positive impacts of applying automatic da
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Haddad, Maroua. "Sizing and management of hybrid renewable energy system for data center supply." Thesis, Bourgogne Franche-Comté, 2019. http://www.theses.fr/2019UBFCD036.

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Le secteur du numérique est récemment devenu un secteur majeur de la consommation d’électricité dans le monde, notamment avec l’avènement des data centers qui concentrent un très grand nombre de machines traitant des informations et fournissant des services. L’utilisation de sources d’énergie renouvelables sur site est un moyen prometteur de réduire l’impact écologique des data centers. Cependant, certaines énergies renouvelables comme les énergies solaire et éolienne sont intermittentes, étant liées aux conditions météorologiques. Étant donné qu’un centre de données doit maintenir une certain
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Rondon, Isaac. "Eco-visualization for amateur energy work : Supporting energy management in Housing Cooperatives." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-204621.

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Eco-visualization technologies aim to trigger more environmental behaviors by providing feedback about the usage of key resources such as energy. However, the design of these technologies to encourage energy conservation has been mainly focused on individual behaviors in a household level. Addressing a different approach researchers at KTH have designed the housing cooperative app, a web application that provides feedback about the collective energy consumption of housing cooperatives in Stockholm, aiming to reduce the cooperative's collective energy use. By using a Research Through Design app
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Lei, Xin. "Analyzing “Design + Medical” Collaboration Using Participatory Action Research (PAR): A Case Study of the Oxygen Saturation Data Display Project at Cincinnati Children’s Hospital Medical Center." University of Cincinnati / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1427983695.

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Liu, Lei. "Investment planning under daily operation: A sustainable housing community context." Thesis, Queensland University of Technology, 2018. https://eprints.qut.edu.au/123736/2/Lei_Liu_Thesis.pdf.

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This research develops a systematical tool to recommend the best short-term operation and long-term investment planning to manage energy bills for neighbourhoods and precincts. Building energy efficiency measures, rooftop solar systems and batteries are evaluated with detailed operational simulation to estimate yearly bill savings across the economic lifetime of investment options. The outcome of this work is that integrated operation and investment options can provide the best return on energy investment for community cases.
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Rajagopalan, Ravishankar. "Response-Probability Model Analysis Plots With Applications in Engineering and Clinical Research." The Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=osu1238137483.

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Štefek, Ivan. "Cenové modely a SLA pre zdieľané služby dátových centier." Master's thesis, Vysoká škola ekonomická v Praze, 2012. http://www.nusl.cz/ntk/nusl-150109.

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Thesis Price models and SLA for shared services of data centers has as objective to establish best practice, so-called "best practices" of SLA and price models for data center services. Work is divided into two parts, theoretical and practical part. The theoretical section is wants to familiarize the reader with the basic concepts such as outsourcing, reasons and risks of use. I describe the base models for providing IT services as well as pricing models for services as described in the literature. I will focus on data centers and TIER standard categorization, too. The practical part is based
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43

Zharova, Alona. "Measures of University Research Output." Doctoral thesis, Humboldt-Universität zu Berlin, 2018. http://dx.doi.org/10.18452/18799.

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New Public Management unterstützt Universitäten und Forschungseinrichtungen dabei, in einem stark wettbewerbsorientierten Forschungsumfeld zu bestehen. Entscheidungen unter Unsicherheit, z.B. die Verteilung von Mitteln für den Forschungsbedarf und Forschungszwecke, erfordert von Politik und Hochschulmanagement, die Beziehungen zwischen den Dimensionen der Forschungsleistung und den resultierenden oder eingehenden Zuschüssen zu verstehen. Hierfür ist es wichtig, die Variablen der wissenschaftlichen Wissensproduktion auf der Ebene von Individuen, Forschungsgruppen und Universitäten zu untersuche
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44

Clauß, Matthias, Thomas Müller, Wolfgang Riedel, Thomas Schier, and Matthias Vodel. "Mitteilungen des URZ 3/2009." Universitätsbibliothek Chemnitz, 2009. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-200901432.

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45

Kočíbová, Iveta. "Návrh migrace části ICT infrastruktury do datového centra." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2016. http://www.nusl.cz/ntk/nusl-241606.

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This Master Thesis deals with the design of part of ICT infrastructure migration of two sites of the international company to the external data center. It analyzes the current status of company ICT, describes the virtualization infrastructure and its operational costs. Main part of the Thesis describes a possible solution of migration of virtualization infrastructure to external data center by using project management tools and methods. Finally, the Thesis summarizes project benefits for the company.
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46

Bruce, Stephanie L. "Models for serially correlated, over or underdispersed, unequally spaced longitudinal count data with applications to asthma inhaler use /." Connect to full text via ProQuest. Limited to UCD Anschutz Medical Campus, 2007.

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Thesis (Ph.D. in Analytic Health Sciences, Dept. of Preventive Medicine and Biometrics) -- University of Colorado Denver, 2007.<br>Typescript. Includes bibliographical references (leaves 57-59). Free to UCD Anschutz Medical Campus. Online version available via ProQuest Digital Dissertations;
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47

Berrios-Ayala, Mark. "Brave New World Reloaded: Advocating for Basic Constitutional Search Protections to Apply to Cell Phones from Eavesdropping and Tracking by Government and Corporate Entities." Honors in the Major Thesis, University of Central Florida, 2013. http://digital.library.ucf.edu/cdm/ref/collection/ETH/id/1547.

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Imagine a world where someone’s personal information is constantly compromised, where federal government entities AKA Big Brother always knows what anyone is Googling, who an individual is texting, and their emoticons on Twitter. Government entities have been doing this for years; they never cared if they were breaking the law or their moral compass of human dignity. Every day the Federal government blatantly siphons data with programs from the original ECHELON to the new series like PRISM and Xkeyscore so they can keep their tabs on issues that are none of their business; namely, the personal
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48

Shao, Wen-Ho, and 邵文鶴. "The Research and Development of the Data Center Cooling Rack." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/9q4q4p.

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碩士<br>國立臺北科技大學<br>能源與冷凍空調工程系碩士班<br>97<br>In recent years, the Internet data center (IDC) of the rapid development of the computer room, so need more space to store Information Technology (IT) equipment. As a result of the computer room air conditioners in cooling are large-scale in today’s, coupled with the server set with a high density, the concept of cold and hot channels inadequate, despite the ambient temperature range will be able to achieve the set point. And the actual IT equipment in the cooling effect is often limited so difficult to emit heat, continuing to reduce air-conditioning t
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49

Shih, Guan-Chiun, and 施冠群. "The Research of Self – Fault – Diagnosis for the Data Center Rack." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/4g3gx8.

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碩士<br>國立臺北科技大學<br>能源與冷凍空調工程系碩士班<br>98<br>In recent years, the Internet data center (IDC) of the rapid development of the computer room, so need more space to store Information Technology (IT) equipment. However, when the Cooling Rack running hours increase and there is improper maintenance. Therefore, it is important to develop an automatic real-time monitoring system to assist in the management of maintenance and failure prediction, and real-time troubleshooting in order to avoid damage to system operation and to maintain the efficient operation. In this study, two kinds of fault diagnosis us
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50

Shravan, S. K. "Improving Data Center Utilisation by Reducing Fragmentation." Thesis, 2018. https://etd.iisc.ac.in/handle/2005/4891.

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Virtualization enables better server consolidation and utilisation compared to stand-alone servers running a single workload. This enabled wide-spread cloud adoption among many organizations. Data center utilisation is very important as it costs millions of dollars to setup (capital expenditure), operate and maintain(operating expenditure). Many data centers still suffer from poor host utilisations. Poor utilisation means resource idling, loss of revenue and increased carbon footprint. Hence, this opens an opportunity to explore options for using data center resources optimally. This wo
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