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Relevant bibliographies by topics / Streaming technology (Telecommunications) Data mining / Dissertations / Theses

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Dissertations / Theses on the topic 'Streaming technology (Telecommunications) Data mining'

Author: Grafiati

Published: 4 June 2021

Last updated: 9 February 2022

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1

Hohman, Elizabeth Leeds. "A dynamic graph model for representing streaming text documents." Fairfax, VA : George Mason University, 2008. http://hdl.handle.net/1920/3062.

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Thesis (Ph.D.)--George Mason University, 2008.<br>Vita: p. 141. Thesis director: Edward J. Wegman. Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Computational Sciences and Informatics. Title from PDF t.p. (viewed July 3, 2008). Includes bibliographical references (p. 105-110). Also issued in print.

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2

Jin, Ruoming. "New techniques for efficiently discovering frequent patterns." Connect to resource, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1121795612.

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Thesis (Ph. D.)--Ohio State University, 2005.<br>Title from first page of PDF file. Document formatted into pages; contains xvii, 170 p.; also includes graphics. Includes bibliographical references (p. 160-170). Available online via OhioLINK's ETD Center

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3

Xu, Jialing, and 徐加羚. "On live data streaming over peer-to-peer networks." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2010. http://hub.hku.hk/bib/B44904472.

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4

Krasic, Charles. "A framework for quality-adaptive media streaming--encode once, stream anywhere /." Full text open access at:, 2004. http://content.ohsu.edu/u?/etd,630.

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5

Bhat, Amit. "Low-latency Estimates for Window-Aggregate Queries over Data Streams." PDXScholar, 2011. https://pdxscholar.library.pdx.edu/open_access_etds/161.

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Obtaining low-latency results from window-aggregate queries can be critical to certain data-stream processing applications. Due to a DSMS's lack of control over incoming data (typically, because of delays and bursts in data arrival), timely results for a window-aggregate query over a data stream cannot be obtained with guarantees about the results' accuracy. In this thesis, I propose a technique, which I term prodding, to obtain early result estimates for window-aggregate queries over data streams. The early estimates are obtained in addition to the regular query results. The proposed techniqu

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6

Mukherji, Abhishek. "SNIF TOOL - Sniffing for patterns in continuous streams." Worcester, Mass. : Worcester Polytechnic Institute, 2008. http://www.wpi.edu/Pubs/ETD/Available/etd-021108-150542/.

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7

Lee, Yen-Chi. "Error resilient video streaming over lossy networks." Diss., Available online, Georgia Institute of Technology, 2004:, 2003. http://etd.gatech.edu/theses/available/etd-04082004-180302/unrestricted/lee%5fyen-chi%5f200312%5fphd.pdf.

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8

Kumar, Abhishek. "Network Data Streaming: Algorithms for Network Measurement and Monitoring." Diss., Available online, Georgia Institute of Technology, 2005, 2005. http://etd.gatech.edu/theses/available/etd-11172005-143837/.

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Thesis (Ph. D.)--Computing, Georgia Institute of Technology, 2006.<br>Dr. Mostafa Ammar, Committee Member ; Dr. Mark Crovella, Committee Member ; Dr. Constantinos Dovrolis, Committee Member ; Dr. Ellen Zegura, Committee Chair ; Dr. Jun Xu, Committee Chair. Vita. Includes bibliographical references.

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9

Li, Jin. "Window Queries Over Data Streams." PDXScholar, 2008. https://pdxscholar.library.pdx.edu/open_access_etds/2675.

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Evaluating queries over data streams has become an appealing way to support various stream-processing applications. Window queries are commonly used in many stream applications. In a window query, certain query operators, especially blocking operators and stateful operators, appear in their windowed versions. Previous research work in evaluating window queries typically requires ordered streams and this order requirement limits the implementations of window operators and also carries performance penalties. This thesis presents efficient and flexible algorithms for evaluating window queries. We

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10

Hilley, David B. "Temporal streams programming abstractions for distributed live stream analysis applications /." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/31695.

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Thesis (Ph.D)--Computing, Georgia Institute of Technology, 2010.<br>Committee Chair: Ramachandran, Umakishore; Committee Member: Clark, Nathan; Committee Member: Haskin, Roger; Committee Member: Pu, Calton; Committee Member: Rehg, James. Part of the SMARTech Electronic Thesis and Dissertation Collection.

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11

Sutherland, Timothy Michael. "D-CAPE -- A self-tuning continuous query plan distribution architecture." Link to electronic thesis, 2004. http://www.wpi.edu/Pubs/ETD/Available/etd-0505104-120617/.

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12

Nehme, Rimma V. "Continuous query processing on spatio-temporal data streams." Link to electronic thesis, 2005. http://www.wpi.edu/Pubs/ETD/Available/etd-082305-154035/.

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13

Tsoi, Yiu-lun Kelvin, and 蔡耀倫. "Real-time scheduling techniques with QoS support and their applications in packet video transmission." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1999. http://hub.hku.hk/bib/B31221786.

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14

Kim, Minjung. "Quality of service support for progressive video transmission over Internet." Diss., Available online, Georgia Institute of Technology, 2004:, 2003. http://etd.gatech.edu/theses/available/etd-04082004-180252/unrestricted/kim%5Fminjung%5F200312%5Fphd.pdf.

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15

MUKHERJI, ABHISHEK. "SNIF TOOL - Sniffing for Patterns in Continuous Streams." Digital WPI, 2008. https://digitalcommons.wpi.edu/etd-theses/161.

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Recent technological advances in sensor networks and mobile devices give rise to new challenges in processing of live streams. In particular, time-series sequence matching, namely, the similarity matching of live streams against a set of predefined pattern sequence queries, is an important technology for a broad range of domains that include monitoring the spread of hazardous waste and administering network traffic. In this thesis, I use the time critical application of monitoring of fire growth in an intelligent building as my motivating example. Various measures and algorithms have been esta

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16

Harel, Nissim. "Memory Optimizations for Distributed Stream-based Applications." Diss., Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/13988.

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Distributed stream-based applications manage large quantities of data and exhibit unique production and consumption patterns that set them apart from general-purpose applications. This dissertation examines possible ways of creating more efficient memory management schemes. Specifically, it looks at the memory reclamation problem. It takes advantage of special traits of streaming applications to extend the definition of the garbage collection problem for those applications and include not only data items that are not reachable but also items that have no effect on the final outcome of the appl

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17

Purandare, Darshan. "A framework for efficient data distribution in peer-to-peer networks." Doctoral diss., Orlando, Fla. : University of Central Florida, 2008. http://purl.fcla.edu/fcla/etd/CFE0002260.

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18

Zhao, Yi. "Studies on error control of 3-D zerotree wavelet video streaming." Connect to resource, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1124811298.

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Thesis (Ph. D.)--Ohio State University, 2005.<br>Title from first page of PDF file. Document formatted into pages; contains xix, 136 p.; also includes graphics (some col.). Includes bibliographical references (p. 129-136). Available online via OhioLINK's ETD Center

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19

Li, Xiaogang. "Efficient and parallel evaluation of XQuery." Columbus, Ohio : Ohio State University, 2006. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1139939037.

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20

Zhao, Qi. "Towards Ideal Network Traffic Measurement: A Statistical Algorithmic Approach." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/19821.

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Thesis (Ph.D)--Computing, Georgia Institute of Technology, 2008.<br>Committee Chair: Xu, Jun; Committee Member: Ammar, Mostafa; Committee Member: Feamster, Nick; Committee Member: Ma, Xiaoli; Committee Member: Zegura, Ellen.

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21

Wu, Yihua. "Streaming techniques for statistical modeling." 2007. http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.16795.

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22

"On aggregate available bandwidth in many-to-one data transfer." 2006. http://library.cuhk.edu.hk/record=b5892812.

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Hui Shui Cheung.<br>Thesis submitted in: August 2005.<br>Thesis (M.Phil.)--Chinese University of Hong Kong, 2006.<br>Includes bibliographical references (leaves 37-38).<br>Abstracts in English and Chinese.<br>Acknowledgement --- p.i<br>Abstract --- p.ii<br>摘要 --- p.iii<br>Chapter Chapter 1 --- Introduction --- p.1<br>Chapter Chapter 2 --- Related Work --- p.4<br>Chapter Chapter 3 --- Single-Source Bandwidth Availability --- p.6<br>Chapter 3.1 --- Measurement Methodology --- p.6<br>Chapter 3.2 --- Measurement Results --- p.7<br>Chapter Chapter 4 --- Multi-Souce Bandwidth Availability --

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23

Hsun, Cuang-Chien, and 黃建勳. "Using data mining technology for studying the customers behavior in telecommunications industry." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/63587312806568208559.

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碩士<br>國立勤益科技大學<br>工業工程與管理系<br>97<br>With the basic function of communication and various multimedia functions of cell phones, including downloading videos, playing music, GPS navigation and games, almost everyone has at least one cell phone these days. The convenience of cell phone promotes the development of telecommunication industry. However, with many telecommunication firms around, for example, Chunghwa telecom, Taiwan Mobile and First International Telecom, how to keep customers in a firm is an important issue. In the customer aspect, customers are continuously losing due to different fa

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24

Bhat, Viraj N. "Autonomic management of data streaming and in-transit processing for data intensive scientific workflows." 2008. http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.17281.

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25

"Measurement and application of many-to-one data flows." 2007. http://library.cuhk.edu.hk/record=b5893344.

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Ho, Po Yee.<br>Thesis (M.Phil.)--Chinese University of Hong Kong, 2007.<br>Includes bibliographical references (leaves 77-81).<br>Abstracts in English and Chinese.<br>Acknowledgements --- p.i<br>Abstract --- p.ii<br>摘要 --- p.iii<br>Chapter Chapter 1 --- Introduction --- p.1<br>Chapter Chapter 2 --- Background and Related Work --- p.4<br>Chapter 2.1 --- Link/Path Capacity --- p.4<br>Chapter 2.2 --- Unutilized Bandwidth --- p.5<br>Chapter 2.3 --- Achievable Bandwidth --- p.5<br>Chapter Chapter 3 --- Measurement Methodology --- p.7<br>Chapter 3.1 --- PlanetLab Measurement --- p.8<br>Cha

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26

Rozenbaum, Irina. "Filtering techniques for data streams." 2007. http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.16764.

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27

Githinji, Stanley Muturi. "Designing a real-time data streaming technique for enhancing the effectiveness of destination selection." Thesis, 2016. http://hdl.handle.net/10500/21913.

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The effectiveness of tour destination selection is dependent on pre-visit information sources. As competition increases in the tourism industry, destination organisations need to improve current destination selection processes. Research on current processes indicate that information sources accessed by potential tourists when making travel decisions may not be a true reflection of what the destination is offering. Any negative difference between perceived images during pre-visit and real images during the actual visit may result in poor destination reputation and dissatisfied customers.

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