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1

Bakshi, Arjun. "Methodology For Generating High-Confidence Cost-Sensitive Rules For Classification." University of Cincinnati / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1377868085.

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Dimitrova, Katica. "Order-sensitive view maintenance of materialized XQuery views." Link to electronic thesis, 2003. http://www.wpi.edu/Pubs/ETD/Available/etd-0505103-151827.

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Murphy, Brian R. "Order-sensitive XML query processing over relational sources." Link to electronic thesis, 2003. http://www.wpi.edu/Pubs/ETD/Available/etd-0505103-123753.

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Thesis (M.S.)--Worcester Polytechnic Institute.<br>Keywords: computation pushdown; XML; order-based Xquery processing; relational database; ordered SQL queries; data model mapping; XQuery; XML data mapping; SQL; XML algebra rewrite rules; XML document order. Includes bibliographical references (p. 64-67).
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Baladová, Šárka. "THE IMPACT ANALYSIS OF THE EU-KOREA FTA ON THE CZECH SENSITIVE SECTORS WITH SPECIAL ATTENTION TO THE AUTOMOTIVE INDUSTRY." Master's thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-74890.

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Strong objections appeared in the Czech Republic, especially in the automotive industry, against the EU-Korea Free Tra de Agreement right after its adoption in October 2009. There were fears that the Agreement would endanger Czech competitiveness in the European market while new opportunity for Czech exporters in the Korean market would be limited. The thesis aims to analyze the impacts of the Agreement on the Czech sensitive sectors as the author does not agree with the results of the very first Czech country specific analysis made by the Association for International Affairs (AMO) that negle
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Aljandal, Waleed A. "Itemset size-sensitive interestingness measures for association rule mining and link prediction." Diss., Manhattan, Kan. : Kansas State University, 2009. http://hdl.handle.net/2097/1119.

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Zhao, Mingjun. "Essays on model uncertainty in macroeconomics." Columbus, Ohio : Ohio State University, 2006. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1153244452.

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Oliveira, Paulo Henrique Maestrello Assad. "Detecção de fraudes em cartões: um classificador baseado em regras de associação e regressão logística." Universidade de São Paulo, 2015. http://www.teses.usp.br/teses/disponiveis/45/45134/tde-01022016-204144/.

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Os cartões, sejam de crédito ou débito, são meios de pagamento altamente utilizados. Esse fato desperta o interesse de fraudadores. O mercado de cartões enxerga as fraudes como custos operacionais, que são repassados para os consumidores e para a sociedade em geral. Ainda, o alto volume de transações e a necessidade de combater as fraudes abrem espaço para a aplicação de técnicas de Aprendizagem de Máquina; entre elas, os classificadores. Um tipo de classificador largamente utilizado nesse domínio é o classificador baseado em regras. Entretanto, um ponto de atenção dessa categoria de classific
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8

Pinsolle, Julie. "L'éducation familiale transformée, approche anthropo-didactique de l'autorité à la préadolescence : Appréhension des pratiques dans la région bordelaise." Thesis, Bordeaux, 2015. http://www.theses.fr/2015BORD0388.

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Ce travail se propose d’aborder la question de l’éducation familiale, à l’heure où laconstitution d’un statut d’exception de l’enfant modifie les relations éducative et d’autoritéet rend plus incertains le jeu complexe entre individuel et collectif ainsi que la transmissiondes savoirs. Comment s'organisent les parents face cette question délicate de l'autorité,tiraillés entre les idéaux démocratiques et la composante contraignante irréductible de l'acteéducatif ? Quelle forme prend l’organisation familiale ? Vécu familial et façon de se mettreen règle à l'école sont-ils liés ?L’enjeu de ce tra
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9

Yang, Jei-Hung, and 楊介宏. "Hiding Sensitive Rules Based on Transaction Grouping." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/58538882177123969090.

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碩士<br>中原大學<br>資訊工程研究所<br>98<br>As the prevalent development of network technology, information sharing and communication is frequent in daily life. Although data mining techniques help people find the important rules among data, people also have to take the risk of sensitive information disclosed. In addition to hiding sensitive rules, recent researches also start discussing the reduction or avoidance of unexpected side effects, including the hiding of non-sensitive rules (lost rules) and the creation of non-existent rules (false rules). This thesis aims at a small amount of transaction modifi
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Kao, Tai-wei, and 高黛威. "Hiding dynamic sensitive association rules in incremental data." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/29229249691498416855.

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碩士<br>國立臺灣科技大學<br>資訊工程系<br>101<br>As the advancement of technologies as well as the intense competition of business, the issues of privacy have acquiring more attention. Mining association rule is the significant technique in data mining. However, it may cause some privacy problem in mining processes. Many researches, thus, start to hide sensitive association rules due to avoid the sensitive information exposed. However, the development of computers and Internet technologies is so fast that data are increasing successively. In addition, sensitive association rules will change with time and pol
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11

Wang, En-Tzu, and 王恩慈. "A Novel Method for Protecting Sensitive Knowledge in Association Rules Mining." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/70145166546301796919.

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碩士<br>國立東華大學<br>資訊工程學系<br>93<br>In the researches of data mining, discovering frequent patterns from huge amounts of data is one of the most studied problems. The frequent patterns mined form databases can bring the users many commercial benefits. However, some sensitive patterns with security concerned may cause a threat to privacy. We investigate to find an appropriate balance between a need for privacy and information discovery on frequent patterns. In this thesis, a novel method for modifying databases to hide sensitive patterns is proposed. By multiplying the original database and a sanit
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12

"Cooperative Driving of Connected Autonomous Vehicles Using Responsibility Sensitive Safety Rules." Master's thesis, 2020. http://hdl.handle.net/2286/R.I.62658.

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abstract: In the recent times, traffic congestion and motor accidents have been a major problem for transportation in major cities. Intelligent Transportation Systems has the potential to be an effective solution in order to tackle this issue. Connected Autonomous Vehicles can cooperate at intersections, ramp merging, lane change and other conflicting scenarios in order to resolve the conflicts and avoid collisions with other vehicles. A lot of works has been proposed for specific scenarios such as intersections, ramp merging or lane change which partially solve the conflict resolution problem
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VARSHNEY, PEEYUSH. "CLOUD FRAMEWORK FOR ASSOCIATION RULE HIDING." Thesis, 2017. http://dspace.dtu.ac.in:8080/jspui/handle/repository/16143.

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Data mining process are followed an extensive undertaking of research and product improvement. This development started when enterprise material was first loaded on computers, continued with advancement in data access, and more recently, developed technologies that permit users to transport through their data in real time. APRIORI algorithm, a popular data mining technique and compared the performances of a linked list based implementation as a basis and a tries-based implementation on it for mining frequent item sequences in a transactional database. In this report, I study the data structure
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14

Залізняк, Олена Анатоліївна. "Гендерно чутлива журналістика як засіб стереотипізації в інтернет-медіа". Магістерська робота, 2020. https://dspace.znu.edu.ua/jspui/handle/12345/4521.

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Залізняк О. А. Гендерно чутлива журналістика як засіб стереотипізації в інтернет-медіа : кваліфікаційна робота магістра спеціальності 061 "Журналістика" / наук. керівник Н. В. Романюк. Запоріжжя : ЗНУ, 2020. 70 с.<br>UA : Магістерська робота «Гендерно чутлива журналістика як засіб стереотипізації в інтернет-медіа» – основний текст – 70 сторінок. Для виконання дипломної роботи опрацьовано 70 джерел. Об’єктом дослідження є два сайти відомих українських ЗМІ: «ТСН» та «УНІАН». Предметом дослідження є особливості функціонування гендерно чутливої журналістики в інтернет-ресурсах «ТСН» і «УНІАН
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15

Mao, Shao-Rui, and 毛紹睿. "Extracting cost sensitive rule from trained neural network." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/80768234739864999820.

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碩士<br>國立成功大學<br>資訊管理研究所<br>92<br>Neural network is the technology used in solving data mining problem. Usually , its result has higher accuracy and handle well in noise data ,also the network architecture can present the complex relation between attributes .However its learning result is a black box .User can’t easily understand neural network’s learning result which limit the application of neural networl. This research try to explain the learning result of neural network by extracting rules from trained neural network . The extracting architecture can be used in various kind of neural networ
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16

Huang, Chin-Ping, and 黃金評. "Locality Sensitive Hashing for Sampling-based Algorithms in Association Rule Mining." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/29623819276817564232.

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碩士<br>國立臺灣科技大學<br>資訊工程系<br>97<br>Association rule mining is one of the most important techniques for intelligent system design and has been widely applied in a vast number of real applications. However, when the database is too large, classical algorithms cannot reasonably complete in time. The sampling approach that processes a subset of the database is a viable alternative. However, using only a subset of the database makes it impossible to achieve perfectly accurate rule extraction because the statistical property of the sample is most certainly different from that of the original database.
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17

Chiang, Chia Ming, and 江家明. "A New Approach for Sensitive Rule Hiding by Considering Side Effects." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/96048877295787722429.

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碩士<br>國立清華大學<br>資訊工程學系<br>91<br>As the growth of computer technology has been advanced, the amount of data has been increasing with an extremely fast rate. A variety of methods for knowledge discovery and data mining have been developed to help people digest the huge number of data. One of the popular data mining research issues is association rule mining. Based on the techniques for mining association rules, the correlations between data items can be identified. However, the misuses of these methods may bring undesired side effects to the people. Recently, researchers have made great efforts
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18

Lai, Li-Jin, and 賴俐錦. "A Data Perturbation Method for Association Rule Mining without Disclosure of Sensitive Data." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/70583749232704082538.

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