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North Atlantic Treaty Organization. Public Diplomacy Division.

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Teorey, Toby J. Database modeling & design.

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(1)

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Ahmadzadeh, Ebad, author.

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Artemʹeva, I. M. (Irina Mikhaĭlovna), 1961-

(1)

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(1)

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Board on Population Health and Public Health Practice.

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Borgelt, Christian.

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Chen, Hsinchun.

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Chen, Shyi-Ming. editor.

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Chen, Yan, author.

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Ching, Wai Ki, 1969-

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Chisholm, Andrew.

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Clemson University. Genetics and Biochemistry. degree granting institution.

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Clemson University. School of Computing. degree granting institution.

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Exploratory image databases : content-based retrieval için kapak resmi

Exploratory image databases : content-based retrieval

373.

Exploratory image databases : content-based retrieval

by

Santini, Simone.

ScienceDirect http://www.sciencedirect.com/science/book/9780126192612

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Alıntı:

use "data mining" to search for an image if you do not have "key words" to.

Advances in computers. Volume 55 için kapak resmi

Advances in computers. Volume 55

374.

Advances in computers. Volume 55

by

Zelkowitz, Marvin V., 1945-

ScienceDirect https://www.sciencedirect.com/science/book/9780120121557
ScienceDirect https://www.sciencedirect.com/science/bookseries/00652458/55

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Selection and Ranking in the WebSemantics Architecture Using Quality of Data Metadata1; Chapter 4. Mining

Seismic coal exploration için kapak resmi

Seismic coal exploration

375.

Seismic coal exploration

by

Dresen, L.

ScienceDirect http://www.sciencedirect.com/science/book/9780080372266

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reduce mining costs it is essential to delineate the geology prior to mining. Today, the only effective

Higher-order Random Walk Methods for Data Analysis için kapak resmi

Higher-order Random Walk Methods for Data Analysis

376.

Higher-order Random Walk Methods for Data Analysis

by

Wu, Tao, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10790747

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, numerical optimizations and data mining tasks. The key assumption of a first-order Markov chain is

Mining Interesting Subnetworks from Graphs with Node Attributes için kapak resmi

Mining Interesting Subnetworks from Graphs with Node Attributes

377.

Mining Interesting Subnetworks from Graphs with Node Attributes

by

Goparaju, Aditya Praneeth, author. (orcid)0000-0002-4827-775X

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10790959

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throughput techniques. Due to the large amount of data involved, researchers have turned to data mining

Ontology-based Domain-specific Semantic Similarity Analysis and Applications için kapak resmi

Ontology-based Domain-specific Semantic Similarity Analysis and Applications

378.

Ontology-based Domain-specific Semantic Similarity Analysis and Applications

by

Song, Xuebo, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10791610

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Millions of text data are penetrating into our daily life. These unstructured text data serve as a

Automatic Selection of MapReduce Machine Learning Algorithms: A Model Building Approach için kapak resmi

Automatic Selection of MapReduce Machine Learning Algorithms: A Model Building Approach

379.

Automatic Selection of MapReduce Machine Learning Algorithms: A Model Building Approach

by

Franklin, Bryan M., author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10791719

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As the amount of information available for data mining grows larger, the amount of time needed to

Computational Pan-Genomics: Algorithms and Applications için kapak resmi

Computational Pan-Genomics: Algorithms and Applications

380.

Computational Pan-Genomics: Algorithms and Applications

by

Cleary, Alan Michael, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10792396

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variety of analyses that mining synteny blocks from pan-genomic data enables, including meaningful

Development of a Framework for Design for Additive Manufacturing için kapak resmi

Development of a Framework for Design for Additive Manufacturing

381.

Development of a Framework for Design for Additive Manufacturing

by

Alwoimi, Bader M., author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10746154

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WEKA software is used to increase the accuracy of the data mining procedure. The final model consists

Adapting Community Detection Approaches to Large, Multilayer, and Attributed Networks için kapak resmi

Adapting Community Detection Approaches to Large, Multilayer, and Attributed Networks

382.

Adapting Community Detection Approaches to Large, Multilayer, and Attributed Networks

by

Stanley, Natalie, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10786546

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Networks have become a common data mining tool to encode relational definitions between a set of

Stock Prediction Analyzing Investor Sentiments için kapak resmi

Stock Prediction Analyzing Investor Sentiments

383.

Stock Prediction Analyzing Investor Sentiments

by

Chatterjee, Arijit, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10786321

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We are going through a phase of data evolution where a major portion of the data from our daily

TDDEHT: Threat Detection using Distributed Ensembles of Hoeffding Trees on Streaming Cyber Datasets için kapak resmi

TDDEHT: Threat Detection using Distributed Ensembles of Hoeffding Trees on Streaming Cyber Datasets

384.

TDDEHT: Threat Detection using Distributed Ensembles of Hoeffding Trees on Streaming Cyber Datasets

by

Muallem, Asmah, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10787423

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generated incomparably. Recently, more advanced data stream mining (DSM) machine learning approaches have

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