Relevant bibliographies by topics / Utility Mining

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Utility Mining'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Utility Mining"

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D, Monisha, and Arul Kumar. "Mining High Utility Dataset." International Journal of Trend in Scientific Research and Development Volume-2, Issue-3 (2018): 2136–43. http://dx.doi.org/10.31142/ijtsrd11691.

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Lin, Jerry Chun-Wei, Wensheng Gan, Philippe Fournier-Viger, et al. "High utility-itemset mining and privacy-preserving utility mining." Perspectives in Science 7 (March 2016): 74–80. http://dx.doi.org/10.1016/j.pisc.2015.11.013.

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SHILPA, GHODE. "STUDY OF HIGH UTILITY PATTERN MINING ALGORITHMS AND COMPARISION OF D2HUP AND MAHUSP ALGORITHMS." GLOBAL JOURNAL OF ADVANCED ENGINEERING TECHNOLOGIES AND SCIENCES 5, no. 3 (2018): 1–7. https://doi.org/10.5281/zenodo.1195101.

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Discovering interesting patterns and useful knowledge from massive data has become an important data mining task.  These days, we come across a lot of things that have profit technically referred as external utility, value greater than the other item sets in the database.  Utility mining is an important topic in data mining and has received extensive research in last few years. In utility mining, each item is associated with a utility that could be profit, quantity, cost or other user preferences. Objective of Utility Mining is to identify the item sets with highest utilities. High u
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Shibi, B. "Systolic Tree Algorithms for Discovering High Utility Item sets from Transactional Database." COMPUSOFT: An International Journal of Advanced Computer Technology 03, no. 01 (2014): 499–502. https://doi.org/10.5281/zenodo.14620781.

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Utility mining emerges as an important topic in data mining field. Here high utility itemsets mining refers to importance or profitability of an item to users. Efficient mining of high utility itemsets plays an important role in many re al-life applications and is an important research issue in data mining area. Number of Algorithms utility pattern growth (UP-Growth) and UP-Growth+( A data structure having tree like structure named utility pattern tree (UP-Tree)) is used for storing the information about high utility item set such that by using only double scanning of database, candidate items
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Monisha, D., and Kumar Arul. "Mining High Utility Dataset." International Journal of Trend in Scientific Research and Development 2, no. 3 (2019): 2136–43. https://doi.org/10.31142/ijtsrd11691.

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High Utility Dataset mining is a popular tactics in the data mining, which bond to search all datasets having a profit higher than a customer specified minimum profit point. Although, setting appropriate value is a trouble for the customers. If the point is set to be too low, too many HUDs will be catalyzed, which may result in the mining process very ineffectual. And also, if the point is set to be too high, it results with no Products will be found. Setting value is a problem by proposing a new configuration for high utility dataset mining, where k is the desired number of Products to be min
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Aabhas, Solanki*1 7. Prof. Amit Kumar Sariya2. "A CRITICAL REVIEW OF VARIOUS METHODOLOGIES FOR MINING HIGH UTILITY ITEM SETS FROM A UTILITY DATA SET." A CRITICAL REVIEW OF VARIOUS METHODOLOGIES FOR MINING HIGH UTILITY ITEM SETS FROM A UTILITY DATA SET 7, no. 6 (2020): 54–56. https://doi.org/10.5281/zenodo.3929910.

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Data Mining, also called knowledge Discovery in Database, is one of the latest research area, which has emerged in response to the Tsunami data or the flood of data, world is facing nowadays. It has taken up the challenge to develop techniques that can help humans to discover useful patterns in massive data. One such important technique is utility mining. Frequent item set mining works to discover item set which are frequently appear in transaction database, which can be discover on the basis of support and confidence value of different item set. Using frequent item set mining concept as a bas
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Aabhas, Solanki*1 &. Prof. Amit Kumar Sariya2. "A CRITICAL REVIEW OF VARIOUS METHODOLOGIES FOR MINING HIGH UTILITY ITEM SETS FROM A UTILITY DATA SET." GLOBAL JOURNAL OF ENGINEERING SCIENCE AND RESEARCHES 7, no. 7 (2020): 1–3. https://doi.org/10.5281/zenodo.3931015.

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Data Mining, also called knowledge Discovery in Database, is one of the latest research area, which has emerged in response to the Tsunami data or the flood of data, world is facing nowadays. It has taken up the challenge to develop techniques that can help humans to discover useful patterns in massive data. One such important technique is utility mining. Frequent item set mining works to discover item set which are frequently appear in transaction database, which can be discover on the basis of support and confidence value of different item set. Using frequent item set mining concept as a bas
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Manges, John. "D2Cell data mining utility." ACM SIGAPL APL Quote Quad 31, no. 2 (2000): 47–54. http://dx.doi.org/10.1145/570406.570412.

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LIU, YING, JIANWEI LI, WEI-KENG LIAO, ALOK CHOUDHARY, and YONG SHI. "HIGH UTILITY ITEMSETS MINING." International Journal of Information Technology & Decision Making 09, no. 06 (2010): 905–34. http://dx.doi.org/10.1142/s0219622010004159.

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High utility itemsets mining identifies itemsets whose utility satisfies a given threshold. It allows users to quantify the usefulness or preferences of items using different values. Thus, it reflects the impact of different items. High utility itemsets mining is useful in decision-making process of many applications, such as retail marketing and Web service, since items are actually different in many aspects in real applications. However, due to the lack of "downward closure property", the cost of candidate generation of high utility itemsets mining is intolerable in terms of time and memory
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K., Rajendra Prasad. "Optimized High-Utility Itemsets Mining for Effective Association Mining Paper." International Journal of Electrical and Computer Engineering (IJECE) 7, no. 5 (2017): 2911–18. https://doi.org/10.11591/ijece.v7i5.pp2911-2918.

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Association rule mining is intently used for determining the frequent itemsets of transactional database; however, it is needed to consider the utility of itemsets in market behavioral applications. Apriori or FP-growth methods generate the association rules without utility factor of items. High-utility itemset mining (HUIM) is a well-known method that effectively determines the itemsets based on high-utility value and the resulting itemsets are known as high-utility itemsets. Fastest high-utility mining method (FHM) is an enhanced version of HUIM. FHM reduces the number of join operations dur
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Dissertations / Theses on the topic "Utility Mining"

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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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Books on the topic "Utility Mining"

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Fournier-Viger, Philippe, Jerry Chun-Wei Lin, Roger Nkambou, Bay Vo, and Vincent S. Tseng, eds. High-Utility Pattern Mining. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-04921-8.

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Indonesia), PricewaterhouseCoopers (Jakarta, ed. Asia-Pacific energy, utility & mining investment guide project. PricewaterhouseCoopers, 2003.

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United States. Congress. Office of Technology Assessment., ed. Managing industrial solid wastes from manufacturing, mining, oil and gas production, and utility coal combustion. Congress of the U.S., Office of Technology Assessment, 1992.

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Coalbed Methane Outreach Program (U.S.), ed. Technical and economic assessment of coal mine methane in coal-fired utility and industrial boilers in northern Appalachia and Alabama. Coalbed Methane Outreach Program, Atmospheric Pollution Prevention Division, U.S. Environmental Protection Agency, 1998.

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Coalbed Methane Outreach Program (U.S.), ed. Technical and economic assessment of coal mine methane in coal-fired utility and industrial boilers in northern Appalachia and Alabama. Coalbed Methane Outreach Program, Atmospheric Pollution Prevention Division, U.S. Environmental Protection Agency, 1998.

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Indonesia. Direktorat Jenderal Listrik dan Pengembangan Energi. Direktori pertambangan, energi, dan sumber daya mineral =: Directory of energy and mineral resources mining, 2006 : oil and natural gas, geology mineral resources, electricity and energy utility. Directorate General of Electrocity and Energy Utilization, 2006.

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GOVERNMENT, US. Compilation of securities laws within the jurisdiction of the Committee on Energy and Commerce: Including Securities Act of 1933, Securities Exchange Act of 1934, Public Utility Holding Company Act of 1935, Trust Indenture Act of 1939, Investment Company Act of 1940, Investment Advisers Act of 1940, Securities Investor Protection Act of 1970. U.S. G.P.O., 1988.

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GOVERNMENT, US. United States Code annotated 2000.: Index. West Publishing Co., 2000.

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GOVERNMENT, US. The Solid Waste Disposal Act: As amended by the Hazardous and Solid Waste Amendments of 1984 (Public Law 98-616); the Safe Drinking Water Act Amendments of 1986 (Public Law 99-339); and the Superfund Amendments and Reauthorization Act of 1986 (Public Law 99-499). U.S. G.P.O., 1987.

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Tseng, Vincent S. Mining High Utility Patterns. Taylor & Francis Group, 2020.

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Book chapters on the topic "Utility Mining"

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Fongue, Audrey, Jerry Lonlac, and Norbert Tsopze. "Utility-Oriented Gradual Itemsets Mining Using High Utility Itemsets Mining." In Big Data Analytics and Knowledge Discovery. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-39831-5_10.

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Bernardini, Giulia, Huiping Chen, Alessio Conte, et al. "Utility-Oriented String Mining." In Proceedings of the 2024 SIAM International Conference on Data Mining (SDM). Society for Industrial and Applied Mathematics, 2024. http://dx.doi.org/10.1137/1.9781611978032.22.

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Jeevika Tharini, V., and B. L. Shivakumar. "High-Utility Itemset Mining." In Computational Intelligence and Data Sciences. CRC Press, 2022. http://dx.doi.org/10.1201/9781003224068-11.

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Song, Wei, and Keke Rong. "Mining High Utility Sequential Patterns Using Maximal Remaining Utility." In Data Mining and Big Data. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93803-5_44.

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Song, Wei, Chuanlong Zheng, and Philippe Fournier-Viger. "Mining Skyline Frequent-Utility Itemsets with Utility Filtering." In PRICAI 2021: Trends in Artificial Intelligence. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-89188-6_31.

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Huynh, Ut, Bac Le, and Duy-Tai Dinh. "Hiding Periodic High-Utility Sequential Patterns." In Periodic Pattern Mining. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-3964-7_10.

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Rage, Uday Kiran. "Pattern Discovery in Utility Databases." In Hands-on Pattern Mining. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-6791-8_10.

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Fournier-Viger, Philippe, Yimin Zhang, Jerry Chun-Wei Lin, Hamido Fujita, and Yun Sing Koh. "Mining Local High Utility Itemsets." In Lecture Notes in Computer Science. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-98812-2_41.

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Fournier-Viger, Philippe, Jerry Chun-Wei Lin, Cheng-Wei Wu, Vincent S. Tseng, and Usef Faghihi. "Mining Minimal High-Utility Itemsets." In Lecture Notes in Computer Science. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-44403-1_6.

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Lin, Jerry Chun-Wei, Wensheng Gan, Philippe Fournier-Viger, and Tzung-Pei Hong. "Mining Discriminative High Utility Patterns." In Intelligent Information and Database Systems. Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-49390-8_21.

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Conference papers on the topic "Utility Mining"

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Saha, Ashmita, and Vaishali D. Khairnar. "Mining Utility Patterns." In 2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT). IEEE, 2018. http://dx.doi.org/10.1109/icicct.2018.8472996.

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Gan, Wensheng, Jerry Chun-Wei Lin, Han-Chieh Chao, and Philip S. Yu. "Utility-Driven Mining of High Utility Episodes." In 2019 IEEE International Conference on Big Data (Big Data). IEEE, 2019. http://dx.doi.org/10.1109/bigdata47090.2019.9006152.

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Lee, Yue-Shi, and Show-Jane Yen. "Mining Utility Association Rules." In ICCAE 2018: 2018 10th International Conference on Computer and Automation Engineering. ACM, 2018. http://dx.doi.org/10.1145/3192975.3192987.

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Manges, John. "D2Cell data mining utility." In the 2001 conference. ACM Press, 2001. http://dx.doi.org/10.1145/570407.570412.

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Alam, Md Tanvir, Amit Roy, Chowdhury Farhan Ahmed, Md Ashraful Islam, and Carson K. Leung. "Mining High Utility Subgraphs." In 2021 International Conference on Data Mining Workshops (ICDMW). IEEE, 2021. http://dx.doi.org/10.1109/icdmw53433.2021.00075.

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Hong, Tzung-Pei, Cho-Han Lee, and Shyue-Liang Wang. "Mining high average-utility itemsets." In 2009 IEEE International Conference on Systems, Man and Cybernetics - SMC. IEEE, 2009. http://dx.doi.org/10.1109/icsmc.2009.5346333.

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Hackman, Acquah, Yu Huang, Philippe Fournier-Viger, and Vincent Tseng. "Stable High Utility Itemset Mining." In iiWAS2021: The 23rd International Conference on Information Integration and Web Intelligence. ACM, 2021. http://dx.doi.org/10.1145/3487664.3487704.

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Lin, Jerry Chun-Wei, Wensheng Gan, Philippe Fournier-Viger, and Tzung-Pei Hong. "Mining High-Utility Itemsets with Multiple Minimum Utility Thresholds." In the Eighth International C* Conference. ACM Press, 2008. http://dx.doi.org/10.1145/2790798.2790807.

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Huynh, Hanh-Thong, Hai Duong, Tin Truong, Bac Le, and Philippe Fournier-Viger. "Mining High Utility Sequences with a Novel Utility Function." In 2021 13th International Conference on Knowledge and Systems Engineering (KSE). IEEE, 2021. http://dx.doi.org/10.1109/kse53942.2021.9648660.

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Alhusaini, Naji, Jing Li, Philippe Fournier-Viger, Ammar Hawbani, and Guilin Chen. "Mining High Utility Itemset with Multiple Minimum Utility Thresholds Based on Utility Deviation." In 2022 IEEE International Conference on Data Mining Workshops (ICDMW). IEEE, 2022. http://dx.doi.org/10.1109/icdmw58026.2022.00071.

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Reports on the topic "Utility Mining"

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Andrew H. Stern. CONCEPTUAL DESIGN FOR A RADICALLY SMALLER, HIGHLY ADAPTIVE AND APPLICATION-FLEXIBLE MINING MACHINE FOR UTILITY AND DEVELOPMENT WORK. Office of Scientific and Technical Information (OSTI), 2004. http://dx.doi.org/10.2172/838809.

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Paynter, Robin A., Celia Fiordalisi, Elizabeth Stoeger, et al. A Prospective Comparison of Evidence Synthesis Search Strategies Developed With and Without Text-Mining Tools. Agency for Healthcare Research and Quality (AHRQ), 2021. http://dx.doi.org/10.23970/ahrqepcmethodsprospectivecomparison.

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Background: In an era of explosive growth in biomedical evidence, improving systematic review (SR) search processes is increasingly critical. Text-mining tools (TMTs) are a potentially powerful resource to improve and streamline search strategy development. Two types of TMTs are especially of interest to searchers: word frequency (useful for identifying most used keyword terms, e.g., PubReminer) and clustering (visualizing common themes, e.g., Carrot2). Objectives: The objectives of this study were to compare the benefits and trade-offs of searches with and without the use of TMTs for evidence
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Shen, Wei, and Chuchu Fu. China’s Engagement with DRC’s Critical Minerals Sector: Extractivism, Developmentalism, and the Quest for a Just Transition. Institute of Development Studies, 2024. http://dx.doi.org/10.19088/ids.2024.032.

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This Working Paper explores the multifaceted Chinese engagement in the Democratic Republic of the Congo's (DRC) copper and cobalt mining sector. We identified two distinctive approaches for such engagement: one led by central state-owned enterprises (CSOEs) and state-backed policy financial institutions (S-PFIs), and the other by a mix of public and private Chinese companies. The paper argues that while the former approach is embedded with a developmentalist ideology by aiming to utilise resource income to promote infrastructure development, the latter follows a typical extractivist logic of p
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Hausmann, Ricardo, and Bailey Klinger. Growth Diagnostic: Peru. Inter-American Development Bank, 2008. http://dx.doi.org/10.18235/0011325.

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This paper presents a growth diagnostic exercise for Peru. It notes that although Peru has recently enjoyed high rates of economic growth, this growth is actually a recovery from a significant and sustained growth collapse that began in the 1970s, caused by a decline in export earnings due to the fall in international prices and an inadequate investment regime in export activities. However, the transformation of the export sector has been surprisingly small: the same activities that declined- mining and energy- are the ones that are leading the current recovery in exports. The authors argue th
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Allende López, Marcos, Diego López, Sergio Cerón, et al. Quantum-Resistance in Blockchain Networks. Inter-American Development Bank, 2021. http://dx.doi.org/10.18235/0003313.

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This paper describes the work carried out by the Inter-American Development Bank, the IDB Lab, LACChain, Cambridge Quantum Computing (CQC), and Tecnológico de Monterrey to identify and eliminate quantum threats in blockchain networks. The advent of quantum computing threatens internet protocols and blockchain networks because they utilize non-quantum resistant cryptographic algorithms. When quantum computers become robust enough to run Shor's algorithm on a large scale, the most used asymmetric algorithms, utilized for digital signatures and message encryption, such as RSA, (EC)DSA, and (EC)DH
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Desa, Hazry, and Muhammad Azizi Azizan. OPTIMIZING STOCKPILE MANAGEMENT THROUGH DRONE MAPPING FOR VOLUMETRIC CALCULATION. Penerbit Universiti Malaysia Perlis, 2023. http://dx.doi.org/10.58915/techrpt2023.004.

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Stockpile volumetric calculation is an important aspect in many industries, including construction, mining, and agriculture. Accurate calculation of stockpile volumes is essential for efficient inventory management, logistics planning, and quality control. Traditionally, stockpile volumetric calculation is done using ground-based survey methods, which can be time-consuming, labour-intensive, and often inaccurate. However, with the recent advancements in drone technology, it has become possible to use drones for stockpile volumetric calculation, providing a faster, safer, and more accurate solu
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Dixon, Delaney, Cassie Powers, Jasmine McAdams, Sam Stephens, Danielle Sass Byrnett, and David Peters. Mini Guide on Transportation Electrification: State-Level Roles and Collaboration among Public Utility Commissions, State Energy Offices, and Departments of Transportation. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/2006860.

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PR-271-143717-R01 Ground Based Radar Monitoring of Pipeline Infrastructure. Pipeline Research Council International, Inc. (PRCI), 2016. http://dx.doi.org/10.55274/r0010998.

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A new type of monitoring technology - Ground-based Synthetic Aperture Radar (GBSAR) - has been proven in mining applications and shows promise for monitoring deformation of infrastructure or slope movement with accuracy of better than one millimeter (0.040 in.). This project was thus devised to test the utility of this technology for monitoring above-ground gas pipeline infrastructure that is being impacted by ground subsidence. The infrastructure monitored included: a compressor building, a segment of pipeline, pipe supports and foundations. The first objective of this project was to demonstr
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L51661 Pipeline Response to Blasting in Rock. Pipeline Research Council International, Inc. (PRCI), 1991. http://dx.doi.org/10.55274/r0010293.

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Blasting near buried gas pipelines is a common occurrence, and the blast-induced stresses can be significant relative to normal operational stress limits on a pipeline. Use of explosives for trench blasting in construction of pipelines adjacent to older ones, for strip mining, for highway construction, for quarry blasting, for seismic exploration, for utility construction, etc., in the vicinity of in-service pipelines occurs quite frequently. Consequently, pipeline companies need effective engineering procedures to estimate blast-induced stresses for use in developing realistic blasting guidel
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