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Dissertations / Theses on the topic 'Utility Mining'

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Published: 3 June 2025

Last updated: 31 July 2025

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1

Jagannath, Sandhya. "Utility Guided Pattern Mining." NCSU, 2003. http://www.lib.ncsu.edu/theses/available/etd-11262003-131929/.

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This work is an initial exploration of the use of the decision-theoretic concept of utility to guide pattern mining. We present the use of utility functions as against thresholds and constraints as the mechanism to express user preferences and formulate several pattern mining problems that use utility functions. Utility guided pattern mining provides the twin benefits of capturing user preferences precisely using utility functions and of expressing user focus by choosing an appropriate utility guided pattern mining problem. It addresses the drawbacks of threshold guided pattern mining, the spe

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Cheng, Hong. "Mining high-utility plans from plan databases /." View Abstract or Full-Text, 2003. http://library.ust.hk/cgi/db/thesis.pl?COMP%202003%20CHENG.

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Thesis (M. Phil.)--Hong Kong University of Science and Technology, 2003.<br>Includes bibliographical references (leaves 67-69). Also available in electronic version. Access restricted to campus users.

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Casas, Roma Jordi. "Privacy-preserving and data utility in graph mining." Doctoral thesis, Universitat Autònoma de Barcelona, 2014. http://hdl.handle.net/10803/285566.

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En los últimos años, ha sido puesto a disposición del público una gran cantidad de los datos con formato de grafo. Incrustado en estos datos hay información privada acerca de los usuarios que aparecen en ella. Por lo tanto, los propietarios de datos deben respetar la privacidad de los usuarios antes de liberar los conjuntos de datos a terceros. En este escenario, los procesos de anonimización se convierten en un proceso muy importante. Sin embargo, los procesos de anonimización introducen, generalmente, algún tipo de ruido en los datos anónimos y también en sus resultados en procesos de mine

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Pena, Isis. "Utility-based data mining: An anthropometric case study." Thesis, University of Ottawa (Canada), 2008. http://hdl.handle.net/10393/27723.

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One of the most important challenges for the apparel industry is to produce garments that fit the population properly. In order to achieve this objective, it is crucial to understand the typical profile of consumer's bodies. In this work, we aim to identify the typical consumer from the virtual tailor's perspective. To this end, we perform clustering analysis on anthropometric and 3-D data to group the population into clothing sizes. Next, we perform multi-view relational classification to analyze the interplay of different body measurements within each size. In this study, we analyze three di

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Sobolewska, Katarzyna-Ewa. "Web links utility assessment using data mining techniques." Thesis, Blekinge Tekniska Högskola, Avdelningen för programvarusystem, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2936.

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This paper is focusing on the data mining solutions for the WWW, specifically how it can be used for the hyperlinks evaluation. We are focusing on the hyperlinks used in the web sites systems and on the problem which consider evaluation of its utility. Since hyperlinks reflect relation to other webpage one can expect that there exist way to verify if users follow desired navigation paths. The Challenge is to use available techniques to discover usage behavior patterns and interpret them. We have evaluated hyperlinks of the selected pages from www.bth.se web site. By using web expert’s help the

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Flory, Long Mrs. "A WEB PERSONALIZATION ARTIFACT FOR UTILITY-SENSITIVE REVIEW ANALYSIS." VCU Scholars Compass, 2015. http://scholarscompass.vcu.edu/etd/3739.

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Online customer reviews are web content voluntarily posted by the users of a product (e.g. camera) or service (e.g. hotel) to express their opinions about the product or service. Online reviews are important resources for businesses and consumers. This dissertation focuses on the important consumer concern of review utility, i.e., the helpfulness or usefulness of online reviews to inform consumer purchase decisions. Review utility concerns consumers since not all online reviews are useful or helpful. And, the quantity of the online reviews of a product/service tends to be very large. Manual as

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Guo, Shumin. "Mining Privacy Settings to Find Optimal Privacy-Utility Tradeoffs for Social Network Services." Wright State University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=wright1400162914.

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Akaner, Mesut. "Application Of Iso 9000 And Ohsas 18000 To A Mining Company." Master's thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/3/1054980/index.pdf.

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ISO 9000 Quality Management Standards Series aims to improve the products and services regarding customer satisfaction. The main purpose is to increase quality. On the other hand, having a special importance to mining, OHSAS 18000 Occupational Health and Safety Assessment System Series aims to provide safer, more tranquil and more healthy working environment to the labors. Both of these management systems are continuously improved and increase their importance in the world. This study evaluates ISO 9000 and OHSAS 18000 series in a comparative and criticizing scope and complementariness of the

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Corain, Elisabetta. "Ottimizzazione Percorsi Logistica, modello analitico a supporto delle simulazioni degli impatti di modifica della dislocazione degli impianti." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020.

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Il contesto della tesi è quello di un'iniziativa progettuale per una importante realtà italiana dell'ambito utility. In particolare prevede l'analisi, la progettazione e l'implementazione di un modello analitico a supporto delle simulazioni degli impatti di modifica della dislocazione degli impianti utilizzati per il conferimento di rifiuti. La realizzazione di questo modello consentirà di effettuare simulazioni 'self-service' sui possibili impatti economici derivanti da una diversa dislocazione (o una diversa attribuzione) dei punti di conferimento dei rifiuti, attraverso la selezione di alcu

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Asenjo, Juan C. "Data Masking, Encryption, and their Effect on Classification Performance: Trade-offs Between Data Security and Utility." NSUWorks, 2017. http://nsuworks.nova.edu/gscis_etd/1010.

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As data mining increasingly shapes organizational decision-making, the quality of its results must be questioned to ensure trust in the technology. Inaccuracies can mislead decision-makers and cause costly mistakes. With more data collected for analytical purposes, privacy is also a major concern. Data security policies and regulations are increasingly put in place to manage risks, but these policies and regulations often employ technologies that substitute and/or suppress sensitive details contained in the data sets being mined. Data masking and substitution and/or data encryption and suppres

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山本, 俊行, та Toshiyuki YAMAMOTO. "非補償型意思決定方略を表現するためのデータマイニング手法の適用に関する分析". 土木学会, 2004. http://hdl.handle.net/2237/8619.

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Dalmas, Benjamin. "Nouvelles approches pour la détection de relations utiles dans les processus : application aux parcours de santé." Thesis, Université Clermont Auvergne‎ (2017-2020), 2018. http://www.theses.fr/2018CLFAC005/document.

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Depuis le Baby-Boom d'après guerre, la France, comme d'autres pays, est confrontée à un vieillissement de la population et à des pathologies qui deviennent de plus en plus chroniques. Ces nouveaux problèmes de santé impliquent des prises en charge plus fréquentes, plus complexes et plus transversales. Cependant, plusieurs freins liés à l'évolution de la société où à l'organisation interne du système de santé, viennent entraver le développement de prises en charge adaptées pour répondre aux nouveaux besoins. Dans un contexte de réduction des dépenses, il est nécessaire d'avoir une meilleure maî

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Lindén, Johannes. "Huvudtitel: Understand and Utilise Unformatted Text Documents by Natural Language Processing algorithms." Thesis, Mittuniversitetet, Avdelningen för informationssystem och -teknologi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-31043.

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News companies have a need to automate and make the editors process of writing about hot and new events more effective. Current technologies involve robotic programs that fills in values in templates and website listeners that notifies the editors when changes are made so that the editor can read up on the source change at the actual website. Editors can provide news faster and better if directly provided with abstracts of the external sources. This study applies deep learning algorithms to automatically formulate abstracts and tag sources with appropriate tags based on the context. The study

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Cocos, Ioana Alice. "Sélection d'un mélange réactif utilisé dans les biobarrières perméables pour le traitement des eaux souterraines contaminées par le drainage minier acide." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0021/MQ57400.pdf.

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Cavalcante, Ronaldo Fonseca. "Estudo do potencial de utiliza??o do res?duo da extra??o de esmeraldas na fabrica??o de cer?mica de revestimento." Universidade Federal do Rio Grande do Norte, 2010. http://repositorio.ufrn.br:8080/jspui/handle/123456789/15603.

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Made available in DSpace on 2014-12-17T14:57:56Z (GMT). No. of bitstreams: 1 RonaldoFC_DISSERT.pdf: 4616662 bytes, checksum: 0873d4d0b759a28864c474fb890be216 (MD5) Previous issue date: 2010-03-09<br>Universidade Federal do Rio Grande do Norte<br>Companies involved in emerald mining and treatment represent an important area of industrial development in Brazil, with significative contribution to the worldwide production of such mineral. As a result, large volumes of emerald waste are constantly generated and abandoned in the environment, negatively contributing to its preservation. By the othe

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Portal, Cleber. "Estratégias para minimizar a evasão e potencializar a permanência em EAD a partir de sistema que utiliza mineração de dados educacionais e learning analytics." Universidade do Vale do Rio dos Sinos, 2016. http://www.repositorio.jesuita.org.br/handle/UNISINOS/5409.

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Submitted by Silvana Teresinha Dornelles Studzinski (sstudzinski) on 2016-06-29T13:59:29Z No. of bitstreams: 1 Cleber Portal_.pdf: 1881529 bytes, checksum: aa34b82855518c0d808e9a3ab2e103e0 (MD5)<br>Made available in DSpace on 2016-06-29T13:59:29Z (GMT). No. of bitstreams: 1 Cleber Portal_.pdf: 1881529 bytes, checksum: aa34b82855518c0d808e9a3ab2e103e0 (MD5) Previous issue date: 2016-02-29<br>CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior<br>A presente dissertação de mestrado, desenvolvida no contexto do Grupo de Pesquisa Educação Digital GPe-dU UNISINOS/CNPq, vinculad

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Knight, Adriene Jean. "Nutritional Assessment of Individuals who Utilize Services Available Through the Wood County Committee on Aging." Bowling Green State University / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1245692500.

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Chen, Wei-Ren, and 陳威任. "Mining Utility Association Rules." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/04865121871313091524.

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碩士<br>銘傳大學<br>資訊工程學系碩士班<br>103<br>Mining Association Rules can find which products would be purchased by the customer when a customer has bought some products, and we can use association rules to recommend products for customers. Mining High Utility Itemset is to find the combinations of products which could bring high profit to us. However, High Utility Itemset only tells us which products bring high profit but not increase profit when we recommend other product to customer. Therefore, we propose definitions and algorithm of Mining Utility Association Rules to find which product to recommend

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Lee, Cho-Han, and 李卓翰. "Mining High Average-Utility Itemsets." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/72034151214338040216.

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碩士<br>國立高雄大學<br>電機工程學系碩士班<br>97<br>Utility mining is an extension of frequent-itemset mining, considering cost, profit or other measures from user preference. Traditionally, the utility of an itemset is the summation of the utilities of the itemset in all the transactions regardless of its length. The average-utility measure is thus proposed in this thesis to reveal a better utility effect of combining several items than the original utility measure. A mining algorithm is proposed to efficiently find the high average-utility itemsets. It uses upper-bound values to overestimate the actual avera

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Yang, Chian-Yi, and 楊千儀. "Mining High Utility Quantitative Association Rules." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/2jdtaf.

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碩士<br>銘傳大學<br>資訊傳播工程學系碩士班<br>94<br>Mining weighted association rules consider the importance of items in a large transaction database. Mining quantitative association rules find most quantitative itemsets , which are purchased frequently, and relate with them from a large transaction database. However, weighted association rules didn’t consider the items which their quantities, and quantitative association rules didn’t consider the items which their weighted. Economics mention influence that quantities affect the cost; and high prices are not necessarily to make a profit, that proves, if only

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Chao, Yu-Te, and 趙育德. "Utility Mining with Individual Item Thresholds." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/62271243300077912737.

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碩士<br>國立高雄大學<br>資訊工程學系碩士班<br>101<br>Utility mining has recently attracted much attention due to its wide applications. It, however, considers the items uniformly by a single minimum utility criterion, such that the significance of the items is not actually reflected. How to develop an efficient and effective utility-based framework with the consideration of different item and itemset criteria is thus a critical issue. In this thesis, we introduce multi-criteria utility mining, which allows users to specify different minimum utility thresholds to items according to the characteristics or import

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Yang, Zong-Hua, and 楊宗樺. "Mining High Utility Sequential Pattern Efficiently." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/01681418871281553038.

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碩士<br>國立交通大學<br>資訊科學與工程研究所<br>100<br>The discovery of high profitable pattern is the one of important issue recently. Instead of mining the pattern which occurs frequently in database, it can be found the pattern which has high profits. In the marketing analysis, the pattern which can be obtained great sale is more practical than the sale volume sometimes. The task of mining high profitable pattern is also called high utility pattern mining. In most recent studies, they focus on mining high utility pattern in transaction database. However, in this paper, we propose a novel mining framework UPr

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CHIANG, PING-HUNG, and 蔣秉翃. "Fuzzy Utility Mining with Weighted Items." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/zxb2qh.

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Chen, Yu-cheng, and 陳又誠. "Preference Utility Mining of Web Navigation Patterns." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/99199642082272023733.

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碩士<br>靜宜大學<br>資訊工程學系碩士班<br>99<br>Through the rapid development of the World Wide Web in past decades, data mining focusing on web usage becomes an important topic of research in database technologies. Web usage mining is used mainly to uncover hidden but useful information of web pages from user navigation patterns recorded in web log. In contrast, utility mining used in the traditional database can identify the profit value of items. With the advantages of both web usage mining and utility mining, web utility mining is not only identifies the frequent web navigation patterns, but also identif

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Hong, Wei-Ting, and 洪偉庭. "Mining Closed High Utility Mobile Sequential Pattern." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/47761071218440012325.

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碩士<br>銘傳大學<br>資訊工程學系碩士班<br>102<br>Mining sequential patterns is an important topic in data mining fields. Sequential patterns is to find the sequential purchasing behaviors in a customer transaction database. Mining high utility mobile sequential patterns considers both of moving paths and purchase transactions for customer, which is able to bring in enough utility for the user. Due to existing method, user will generate many redundant patterns. Therefore, we define important and condensed information, which called closed high utility mobile sequential patterns. In this paper, we propose an ef

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CHEN, YU-KUN, and 陳煜堃. "Mining Top-k High Utility Itemsets Algorithm." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/5v6754.

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碩士<br>銘傳大學<br>資訊工程學系碩士班<br>106<br>High utility mining is a novel issue in data mining area. A high utility itemset is an itemset which satisfies a user-specified utility threshold. However, it is difficult to specify the utility threshold: if the utility threshold is set to be too high, there is not any high utility itemsets can be found; If the utility threshold is set to be too low, there will be a large number of high utility itemsets ca be generated, leading to increase execution time and memory space. For this problem, some researchers proposed top-k high utility itemset mining, which is

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Babu, Korra Sathya. "Utility-Based Privacy Preserving Data Publishing." Thesis, 2013. http://ethesis.nitrkl.ac.in/5487/1/Korra_Sathya_Babu.pdf.

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Advances in data collection techniques and need for automation triggered in proliferation of a huge amount of data. This exponential increase in the collection of personal information has for some time represented a serious threat to privacy. With the advancement of technologies for data storage, data mining, machine learning, social networking and cloud computing, the problem is further fueled. Privacy is a fundamental right of every human being and needs to be preserved. As a counterbalance to the socio-technical transformations, most nations have both general policies on preserving priva

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Chang, Chi-Yuan, and 張啟原. "Mining High Utility Sequential Patterns with Duration Constraints." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/hy2wa2.

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碩士<br>國立中正大學<br>資訊管理學系暨研究所<br>103<br>Utility Sequential pattern mining (utility SPM) is one of most important data mining technique, and it is widely used in customer behavior scenario. Organizations are able to explore customers’purchase habit and comprehend the relationship between merchandise and high-priced merchandise which most customers buy through utility SPM process to develop sales policy. However, in previous studies, the pattern in conventional utility SPM, if the average length of sequences in database is long, the algorithm often generate too many long sequential patterns. It is

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Yu-FengLin and 林鈺峰. "A Study on Utility-based Episode Mining Methodologies." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/41064495904756106505.

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博士<br>國立成功大學<br>資訊工程學系<br>103<br>Frequent episode mining is a fundamental research topic in data mining, which refers to discovering all episodes that appear in complex event sequences with frequencies no less than a user-specified minimum support threshold. Frequent episode mining has been applied to various kinds of domains such as finance analysis, anomaly detection, and vital sign analysis. One emerging research issue in this field is utility-based episode mining, which differs from frequent episode mining in that it considers not only the basic properties of items (i.e., frequency) but al

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Chia-HuaLi and 李佳樺. "Efficient Algorithms for Mining High Utility Quantitative Itemsets." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/29631913307950761303.

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碩士<br>國立成功大學<br>資訊工程學系<br>103<br>High utility quantitative itemsets (abbreviated as HUQIs) mining is a novel research topic in data mining field, which considers the concept of utility like quantity and profit to find high utility itemsets carrying information about quantity. In market analysis, it could reveal to decision-makers that shopping behavior could bring high profit to the company. For example, the customers who purchase M to N units of a product A are likely to purchase P to Q units of a product B. However, existing algorithms involve high computational cost and traditional HUQI min

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Weng, Jing-Meei, and 翁靜美. "Mining High Utility Itemset in a Data Stream." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/25289927639754206683.

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碩士<br>銘傳大學<br>資訊工程學系碩士班<br>99<br>Frequent itemset mining only considers the frequency of an item appearing in a transaction database. It does not reflect the impact of any other factor. High utility itemset mining considers both of the purchased quantity and the profit for an item in order to find the most profitable combination of goods. In addition, the new transaction will be added into and the old transaction will be deleted from the database. The environment that the transactions arrive and remove over time is called a data stream. There are some algorithms which try to find high utility

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Chen, Bo-Yan, and 陳柏諺. "Tree-based Maintenance Approaches for Average-Utility Mining." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/57543037540584559677.

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碩士<br>國立高雄大學<br>電機工程學系碩士班<br>100<br>Utility mining is an extension of frequent-itemset mining. It does not only consider the frequency of itemsets, but also consider item cost, profit or other measures from user preference. Traditionally, the utility of an itemset is the summation of the utilities of the itemset in all the transactions regardless of its length. In the past, the average-utility measure was proposed and revealed a better utility effect of combining several items than the original utility measure. The high average-utility pattern tree (HAUP tree) structure was also designed to he

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Huang, Hsin Yun, and 黃心韻. "Efficient Mining of High Utility Itemsets on Data Streams." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/59391128905363655245.

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碩士<br>國立交通大學<br>資訊科學與工程研究所<br>95<br>Since there are many applications in the form of data streams, such as sensor network, stock analysis, mining useful patterns from a data stream is an important issue nowadays. However, it is a difficult problem because of some limitations in the data stream environment. A new issue, called utility mining, for mining interesting pattern which is profitable for users is suggested in recent years. In the mining of high utility itemsets, the utility and the sales quantity of each item could be arbitrarily number, so many methods applied to frequent itemsets min

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Huang, Hsin-Cheng, and 黃新程. "A Study on Quantitative and Fuzzy Sequential Utility Mining." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/50123119658451062597.

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碩士<br>國立高雄大學<br>資訊工程學系碩士班<br>101<br>Sequential utility pattern mining is an interesting and emerging issue in knowledge discovery with wide applications. It considers not only the quantities and profits of items but also the occurrence order of items in sequences to get useful patterns, which may then help managers find out potential marketing knowledge and make appropriate decisions. In the first part of the thesis, we handle quantitative sequential utility pattern mining with the consideration of quantitative values of items. The problem is more difficult than traditional sequential utility

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CHENG, CHUN-YU, and 鄭俊裕. "Mining Continuous Temporal High Utility Itemset from Transaction Database." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/43585385502910330592.

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碩士<br>銘傳大學<br>資訊工程學系碩士班<br>101<br>Frequent itemset mining considers the frequency of items appearing in a transaction database, but not the purchased quantity and the profit for an item. High utility itemset mining considers the purchased quantity and profit for an item in order to find the combination of goods that can make more money. Considering the circumstances of entire database might lose some itemset which is high utility or frequency in some time. Therefore, some research consider the factory of time to find the itemset which is dependent on time.In this paper, we propose an algorithm

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Gu, Jia-Yuan, and 顧家源. "An Efficient Approach for Mining High Utility Sequential Patterns." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/93847171288928637569.

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碩士<br>銘傳大學<br>資訊工程學系碩士班<br>101<br>Mining sequential patterns is to find the sequential purchasing behaviors for most of the customers, which only considers the number of the customers with the behaviors in a customer transaction database. Mining high utility sequential patterns considers both of the profits and purchased quantities for the items, which is to find the sequential patterns with high benefits for the business. The previous researches roughly defined the utility of a sequence contributed by a customer, such that the generated patterns are not really high utility. Moreover, the prev

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Lin, Wan-Chi, and 林宛琦. "Mining Top-K High Utility Itemsets over Data Streams." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/70566059819707001026.

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碩士<br>國立東華大學<br>資訊工程學系<br>102<br>Utility mining is a hot research topic in recent years. Different from traditional association patterns mining, by considering the quantity and unit profit of the item, the goal of utility mining is to find high utility itemsets. So far, most of the proposed methods are dedicating on mining high utility itemsets according to a given threshold. In this thesis, the problem of how to find Top-K high utility itemsets from a data stream environment is discussed. And a novel algorithm, named TUIS(mining Top-K high utility itemsets over stream data) is proposed for so

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陳高彥. "Mining Multiple-Level High Utility Patterns in Transaction Databases." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/ezx8r9.

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碩士<br>國立中正大學<br>資訊管理系研究所<br>105<br>High utility pattern mining is an important issue of current data mining field, and in frequent pattern mining, there are some prior studies provided the point of view that it is necessary to mining frequent patterns at multiple-level in real-life applications. However, to the best of our knowledge, no prior study has integrated the concepts of multi-level and high-utility mining into single algorithm. Therefore, the aim of this study is develop a novel method to mine multiple-level high utility patterns. In this paper, we proposed novel data structure MLU-tr

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Jain, Sachin kumar, and Ankit Tandon. "Balancing between data utility and privacy preservation in data mining." Thesis, 2010. http://ethesis.nitrkl.ac.in/1651/1/Thesis_dspace.pdf.

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Data Mining plays a vital role in today‟s information world where it has been widely applied in various organizations. The current trend needs to share data for mutual benefit. However, there has been a lot of concern over privacy in the recent years .It has also raised a potential threat of revealing sensitive data of an individual when the data is released publically. Various methods have been proposed to tackle the privacy preservation problem like anonymization and perturbation. But the natural consequence of privacy preservation is information loss. The loss of specific information about

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WU, CHIH-FANG, and 吳致芳. "Mining High Utility Frequent Purchase Behavior Patterns in Mobile Commerce." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/00324715534685762178.

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碩士<br>國立臺灣科技大學<br>資訊管理系<br>105<br>Due to the rapid expansion of technology and electronic payment, people now pay with their mobile devices such as cell phones, pads, or smart watches, etc. Thus understanding the behaviors of customers becomes an important research issue in data mining. Previous researches have proposed many algorithms that considered both moving and purchase patterns. However, they did not take moving patterns into account. Therefore, it may lose some information about the mined patterns. In addition, it only considers the frequency of items, but each item has different price

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Lai, Yu-Ching, and 賴郁菁. "An Efficient Approach for Mining High Utility Quantitative Association Rules." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/7366n3.

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碩士<br>銘傳大學<br>資訊管理學系碩士班<br>95<br>Mining weighted association rules only considers the purchased frequency and profit for an item. Mining quantitative association rules only considers the purchased frequency and quantity for an item. However, an item with high profit or high purchased quantity may not always be a high utility item. It is not enough just only considering quantity or profit of the item in transactions individually. In the thesis, we calculate the utility of items by considering the profit and the purchased quantities and frequency for the items, and generate high utility itemsets

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Guo, Jhou Sing, and 周興國. "Mining High Utility Sequential Patterns in the Data Stream Environments." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/bbmt45.

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碩士<br>國立東華大學<br>資訊工程學系<br>102<br>Sequential patterns mining problem is a major topic in many researches and has become an interesting topic that is continuously discussed. However, most of the studies only consider the purchasing of good without evaluating the amount of the purchase of goods that often happens in real life. To cope with this drawback, the concept of utility mining is proposed. Utility sequential mining is a new area of research that has been widely study in recent years. By considering the benefits of mining sequential number and unit profit item, the goal is to find a combina

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SONG, CHENG-YU, and 宋承祐. "Evaluating Privacy and Utility in Privacy-Preserving Association Rule Mining." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/33zrck.

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碩士<br>國立高雄大學<br>資訊管理學系碩士班<br>105<br>In recent years, privacy preservation has attracted much interest due to concerns regarding breaches of privacy when data are published and analyzed. Private information can be observed directly from published data or inferred through data mining techniques. The k-anonymity concept was first proposed to hide sensitive attribute values that could be discovered using a linking attack. Association rule hiding techniques have been proposed to hide sensitive patterns in mining results. However, these association rule hiding techniques have side effects such as hi

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Wang, Jun-Zhe, and 王濬哲. "A Study on Efficient Mining of High Utility Sequential Patterns." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/gsm5at.

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博士<br>國立交通大學<br>資訊科學與工程研究所<br>105<br>Sequential pattern mining is a fundamental research issue in data mining, which aims to find out all of the frequent subsequences in a sequence database. So far, many algorithms have been proposed to address this problem, and it has wide real world applications. However, frequent sequential patterns may not be informative to some users or business. By contrast, they may be interested in some rare patterns with high revenue, cost, etc. In view of this, the concept of high utility sequential pattern mining has been introduced recently, which refers to identi

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Bai-EnShie and 謝百恩. "Mining High Utility Patterns from Transactional Databases under Different Environments." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/43807287303585669186.

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博士<br>國立成功大學<br>資訊工程學系碩博士班<br>101<br>Data mining is the process of revealing non-trivial, previously unknown and potentially useful information from large databases. Extensive studies have addressed frequent pattern mining and successfully employed it in wide applications. In business domain, mining frequent patterns from transaction databases refers to discovery of itemsets frequently bought together in the transactions. However two important factors, namely unit profit and purchased quantity, are not considered in this framework. Hence, utility mining emerges as an important topic in the dat

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Tu, Tzer-Fu, and 凃哲夫. "Efficient Mining of High Utility Itemsets using Maximal Itemset Property." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/54022918834886326158.

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碩士<br>逢甲大學<br>資訊工程所<br>98<br>The problem of high utility mining is to discover all the high utility itemsets in a transactional database. The utility of an itemset refers to its profit or value. When the utility of an itemset is greater than or equal to a user-defined minimum utility threshold, it is a high utility itemset. Most algorithms discover high utility itemsets in two steps. The first step discovers all the potential itemsets. The second step then determines all the high utility itemsets from these potential itemsets. Most algorithms mine a huge number of potential itemsets in the fir

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Kang, Shu-Wei, and 康書偉. "An Efficient Algorithm for Mining Top-K High Utility Itemsets." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/92656080728847180259.

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碩士<br>逢甲大學<br>資訊工程學系<br>103<br>The goal of top-k high utility itemset mining is discovering all the itemsets whose utility value is at least the K largest, by considering both quantities and profits of items in a transactional database. Previous methods of high utility itemset mining need to specify a minimum threshold first to discover the interesting patterns. Therefore, an inappropriate threshold can never produce a satisfactory result for the user so the mining is a lengthy process. In order to discover the interesting itemsets of high utility, specifying the K value is easier and more mea

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Gomes, José Francisco Cagigal da Silva. "An optimization-based wrapper approach for utility-based data mining." Master's thesis, 2019. https://hdl.handle.net/10216/122198.

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Cheng-PingLai and 賴政坪. "A Study on Temporal and Utility-based Database Mining Techniques." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/75611753494061772436.

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博士<br>國立成功大學<br>電機工程學系碩博士班<br>98<br>Data mining is the process of discovering useful information in large databases. Among different types of data mining methods, temporal data mining and utility-based dataset mining have recently become important topics. In this thesis, we propose novel algorithms so as to provide an alternative perspective on temporal mining and utility-based dataset mining. First, we study the problem of time series clustering under different time-granules. Further, we explore the problems of utility mining and temporal utility mining to deal with the major weaknesses of ex

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Wong, Jia-Wei, and 翁嘉蔚. "A Study on Improving Efficiency of Privacy-Preserving Utility Mining." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/59566913084585643545.

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碩士<br>國立中山大學<br>資訊工程學系研究所<br>100<br>Utility mining algorithms have recently been proposed to discover high utility itemsets from a quantitative database. Factors such as profits or prices are concerned in measuring the utility values of purchased items for revealing more useful knowledge to managers. Nearly all the existing algorithms are performed in a batch way to extract high utility itemsets. In real-world applications, transactions may, however, be inserted, deleted or modified in a database. The batch mining procedure requires more computational time for rescanning the whole updated data

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