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Relevant bibliographies by topics / Frequent Pattern Growth

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Academic literature on the topic 'Frequent Pattern Growth'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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Journal articles on the topic "Frequent Pattern Growth"

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Han, Jiawei, and Jian Pei. "Mining frequent patterns by pattern-growth." ACM SIGKDD Explorations Newsletter 2, no. 2 (2000): 14–20. http://dx.doi.org/10.1145/380995.381002.

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S, Abirami. "Pattern-Growth Methods for Frequent Pattern Mining." Shanlax International Journal of Arts, Science and Humanities 6, S1 (2018): 76–81. https://doi.org/10.5281/zenodo.1410989.

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Mining frequent patterns from large databases play an essential role in many data mining tasks and has broad applications. Most of the previously proposed methods adopt Apriori-like candidate-generation-and-test approaches. However, those methods  may  encounter  serious  challenges  when  mining  datasets  with  prolific patterns and long patterns.In this work, to develop a class of novel and efficient pattern-growth methods for mining various frequent patterns from large databases. Pattern-growth methods  adopt a divi

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Suhandi, Nazori, and Rendra Gustriansyah. "Marketing Strategy Using Frequent Pattern Growth." Journal of Computer Networks, Architecture and High Performance Computing 3, no. 2 (2021): 194–201. http://dx.doi.org/10.47709/cnahpc.v3i2.1039.

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The biggest problem faced by printing companies during the Covid-19 pandemic was that the number of orders was unstable and tends to decrease, which had the potential to harm the company. Therefore, various appropriate marketing strategies were needed so that the number of product orders was relatively stable and even increases. The impact was that the company could survive and continued to grow. This study aimed to assist company managers in developing appropriate marketing strategies based on association rules generated from one of the data mining methods, namely the Frequent Pattern Growth

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Bashir, Shariq, and Daphne Teck Ching Lai. "Mining Approximate Frequent Itemsets Using Pattern Growth Approach." Information Technology and Control 50, no. 4 (2021): 627–44. http://dx.doi.org/10.5755/j01.itc.50.4.29060.

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Approximate frequent itemsets (AFI) mining from noisy databases are computationally more expensive than traditional frequent itemset mining. This is because the AFI mining algorithms generate large number of candidate itemsets. This article proposes an algorithm to mine AFIs using pattern growth approach. The major contribution of the proposed approach is it mines core patterns and examines approximate conditions of candidate AFIs directly with single phase and two full scans of database. Related algorithms apply Apriori-based candidate generation and test approach and require multiple phases

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Asyahri, Hadi Nasyuha, Jama Jalius, Abdullah Rijal, et al. "Frequent pattern growth algorithm for maximizing display items." TELKOMNIKA Telecommunication, Computing, Electronics and Control 19, no. 2 (2021): pp. 390~396. https://doi.org/10.12928/TELKOMNIKA.v19i2.16192.

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Products are goods that are available and provided in stores for sale. Products provided in stores must be arranged properly to order to attract the attention of consumers to buy. Products arranged in a store will depend on the type of store. The product arrangement at a retail store will be different from the product arrangement at a clothing store. Store display will reflect a picture that is in the store so consumers know the types of products sold by product arrangement. An attractive arrangement will stimulate the desire of consumers to buy. In data mining there are several types of metho

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Sharma, Rahul, and Dr Manish Manoria. "Novel Approach for Frequent Pattern Algorithm for Maximizing Frequent Patterns in Effective Time." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 3, no. 2 (2012): 279–83. http://dx.doi.org/10.24297/ijct.v3i2b.2876.

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The essential aspect of mining association rules is to mine the frequent patterns. Due to native difficulty it is impossible to mine complete frequent patterns from a dense database. FP-growth algorithm has been implemented using an Array-based structure, known as the FP-tree,which is for storing compressed frequency information. Numerous experimental results have demonstrated that the algorithm performs extremely well. But in FP-growth algorithm, two traversals of FP-tree are needed for constructing the new conditional FP-tree. In this paper we present a novel Array Based Without Scanning Fre

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Achar, Avinash, Ibrahim A, and P. S. Sastry. "Pattern-growth based frequent serial episode discovery." Data & Knowledge Engineering 87 (September 2013): 91–108. http://dx.doi.org/10.1016/j.datak.2013.06.005.

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Joseph, Jismy, and Kesavaraj G. "Evaluation of Frequent Itemset Mining Algorithms-Apriori and FP Growth." International Journal of Engineering Technology and Management Sciences 4, no. 6 (2020): 1–4. http://dx.doi.org/10.46647/ijetms.2020.v04i06.001.

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Nowadays the Frequentitemset mining (FIM) is an essential task for retrieving frequently occurring patterns, correlation, events or association in a transactional database. Understanding of such frequent patterns helps to take substantial decisions in decisive situations. Multiple algorithms are proposed for finding such patterns, however the time and space complexity of these algorithms rapidly increases with number of items in a dataset. So it is necessary to analyze the efficiency of these algorithms by using different datasets. The aim of this paper is to evaluate theperformance of frequen

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Gunasekaran, G., S. Murugan, and K. Mani. "Auto-Threshold Dynamic Memory Efficient Frequent Pattern Growth for Data Excavation." International Journal of Electrical and Electronics Research 10, no. 3 (2022): 614–19. http://dx.doi.org/10.37391/ijeer.100333.

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Discovering patterns from large datasets is inevitable in the modern data driven civilization. Many research works, and business models are depending on this data excavation task. An efficient method for identifying and categorizing different data patterns from an exponentially growing database is required to perform a clear data excavation. A set of fresh processes such as Repeat Pattern Finder, Repeat Pattern Table, Repeat Pattern Threshold Analyzer, and Repeat Pattern Node are conceptualized in this work named as Auto-Threshold Dynamic Memory Efficient Frequent Pattern Growth for Data Excav

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Asha, P., and T. Jebarajan. "Efficient Mining Of High Utility Patterns Using Frequent Pattern Growth Algorithm." i-manager's Journal on Software Engineering 8, no. 2 (2013): 32–36. http://dx.doi.org/10.26634/jse.8.2.2537.

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Dissertations / Theses on the topic "Frequent Pattern Growth"

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Zhang, Qi. "The Application of Sequential Pattern Mining in Healthcare Workflow System and an Improved Mining Algorithm Based on Pattern-Growth Approach." University of Cincinnati / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1378113261.

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Giudice, Riccardo. "Analisi e applicazione dei processi di data mining al flusso informativo di sistemi real-time: Implementazione e analisi di un algoritmo autoadattivo per la ricerca di frequent patterns su macchine automatiche." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amslaurea.unibo.it/9054/.

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Analisi e applicazione dei processi di data mining al flusso informativo di sistemi real-time. Implementazione e analisi di un algoritmo autoadattivo per la ricerca di frequent patterns su macchine automatiche.

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Skácel, Jan. "Získávání znalostí z obchodních procesů." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2015. http://www.nusl.cz/ntk/nusl-235011.

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This thesis explains business process mining and it's principles. A substantial part is devoted to the problems of process discovery. Further, based on the analysis of specific manufacturing process are proposed three methods that are trying to identify shortcomings in the process. First discovers the manufacturing process and renders it into a graph. The second method uses simulator of production history to obtain products that may caused delays in the process. Acquired data are used to mine frequent itemsets. The third method tries to predict processing time on the selected workplace using a

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Dvořák, Michal. "Získávání frekventovaných vzorů z proudu dat." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2012. http://www.nusl.cz/ntk/nusl-236486.

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Frequent-pattern mining from databases has been widely studied and frequently observed. Unfortunately, these algorithms are not suitable for data stream processing. In frequent-pattern mining from data streams, it is important to manage sets of items and also their history. There are several reasons for this; it is not just the history of frequent items, but also the history of potentially frequent sets that can become frequent later. This requires more memory and computational power. This thesis describes two algorithms: Lossy Counting and FP-stream. An effective implementation of these algor

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Kutty, Sangeetha. "Enriching XML documents clustering by using concise structure and content." Thesis, Queensland University of Technology, 2011. https://eprints.qut.edu.au/48326/1/Sangeetha_Kutty_Thesis.pdf.

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With the growing number of XML documents on theWeb it becomes essential to effectively organise these XML documents in order to retrieve useful information from them. A possible solution is to apply clustering on the XML documents to discover knowledge that promotes effective data management, information retrieval and query processing. However, many issues arise in discovering knowledge from these types of semi-structured documents due to their heterogeneity and structural irregularity. Most of the existing research on clustering techniques focuses only on one feature of the XML documents, thi

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Giavoli, Andrea. "Analisi e applicazione dei processi di data mining al flusso informativo di sistemi real-time: Adattamento di un algoritmo di apprendimento automatico per la caratterizzazione e la ricerca di frequent patterns su macchine automatiche." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amslaurea.unibo.it/9055/.

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La tesi da me svolta durante questi ultimi sei mesi è stata sviluppata presso i laboratori di ricerca di IMA S.p.a.. IMA (Industria Macchine Automatiche) è una azienda italiana che naque nel 1961 a Bologna ed oggi riveste il ruolo di leader mondiale nella produzione di macchine automatiche per il packaging di medicinali. Vorrei subito mettere in luce che in tale contesto applicativo l’utilizzo di algoritmi di data-mining risulta essere ostico a causa dei due ambienti in cui mi trovo. Il primo è quello delle macchine automatiche che operano con sistemi in tempo reale dato che non presentano

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Chen, Chih-Sheng, and 陳志勝. "An Improved Frequent Pattern Growth Method for Mining Association Rules." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/93520887740292321310.

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碩士<br>國立中興大學<br>資訊科學與工程學系<br>96<br>Association rules mining is an important issue in data mining. In the past, many algorithms are proposed for efficiently mining association rules and one of the most important approaches is FP-growth. Without using a candidate generation method, FP-growth constructs the FP-tree to store frequent 1-items and recursively counts all itemsets in the tree for mining all frequent itemsets. However, as the database size increases, the performance of FP-growth may become worse. In the paper, we propose IFPG(Improved Frequent Pattern Growth) algorithm to improve the p

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Gu, Jer-Guang, and 古哲光. "Research on Mining Multi-Weights Supports Association Rules with Frequent Pattern Growth Algorithm." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/55152234642811189310.

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碩士<br>立德管理學院<br>應用資訊研究所<br>92<br>Recently years, it is important to mine item’s association rules from large database due to increasing considerable quantity of data constantly. In the past Algorithm of mining item’s association rules, most of those focus on times of trading count, but not profit. The main defect of that Algorithm is not effective to mining. Therefore this reason, this program has to provide a new method for improving the rate of time between mining item’s times and profit, is called MWFP-Growth (Multi- Weights Support Frequent Patterns Growth). This program alters FP-Gr

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Books on the topic "Frequent Pattern Growth"

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Bartkowicz, Leszek. Tekstura drzewostanów naturalnych w polskich parkach narodowych na tle teorii dynamiki lasu. Publishing House of the University of Agriculture in Krakow, 2021. http://dx.doi.org/10.15576/978-83-66602-20-5.

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The aim of the study was to compare a patch-mosaic pattern in the old-growth forest stands developed in various climate and soil conditions occurring in different regions of Poland. Based on the assumption, that the patch-mosaic pattern in the forest reflect the dynamic processes taking place in it, and that each type of forest ecosystem is characterized by a specific regime of natural disturbances, the following hypotheses were formulated: (i) the patches with a complex structure in stands composed of latesuccessional, shade-tolerant tree species are more common than those composed of early-s

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Parker, Simon C. Entrepreneurship, Self-employment and the Labour Market. Edited by Anuradha Basu, Mark Casson, Nigel Wadeson, and Bernard Yeung. Oxford University Press, 2009. http://dx.doi.org/10.1093/oxfordhb/9780199546992.003.0016.

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This article surveys the entrepreneurship literature as it relates to the labour market. The purpose of this article is to describe, from a mainly but not exclusively economic perspective, the principal theoretical methods and empirical findings in the field. Entrepreneurship intersects with labour markets in several other ways. For example, human capital theory can be used to help explain entrepreneurs' business performance; and labour supply models can be used to help understand their work effort patterns. Both topics attract policy interest, because policy-makers frequently express interest

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Goldemberg, José. Energy. Oxford University Press, 2012. http://dx.doi.org/10.1093/wentk/9780199812905.001.0001.

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Without a doubt, the topic of energy--from coal, oil, and nuclear to geothermal, solar and wind--is one of the most pressing across the globe. It is of paramount importance to policy makers, economists, environmentalists, and industry as they consider which technologies to invest in, how to promote use of renewable energy sources, and how to plan for dwindling reserves of non-renewable energy. In Energy: What Everyone Needs to Know, José Goldemberg, a nuclear physicist who has been hailed by Time magazine as one of the world's top "leaders and visionaries on the environment," takes readers thr

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Book chapters on the topic "Frequent Pattern Growth"

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Han, Jiawei, and Jian Pei. "Pattern-Growth Methods." In Frequent Pattern Mining. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07821-2_3.

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Wang, Chen, Mingsheng Hong, Jian Pei, Haofeng Zhou, Wei Wang, and Baile Shi. "Efficient Pattern-Growth Methods for Frequent Tree Pattern Mining." In Advances in Knowledge Discovery and Data Mining. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24775-3_54.

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Komarasay, Dinesh, Mehul Gupta, Manojj Murugesan, J. Jenita Hermina, and M. Gokuldhev. "Frequent Pattern Mining in Big Data Using Integrated Frequent Pattern (IFP) Growth Algorithm." In Proceedings of the 6th International Conference on Advance Computing and Intelligent Engineering. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2225-1_38.

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Shang, Xuequn, Kai-Uwe Sattler, and Ingolf Geist. "SQL Based Frequent Pattern Mining with FP-Growth." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11415763_3.

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Bernecker, Thomas, Hans-Peter Kriegel, Matthias Renz, Florian Verhein, and Andreas Züfle. "Probabilistic Frequent Pattern Growth for Itemset Mining in Uncertain Databases." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31235-9_3.

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Xue, Tianxiao, Qingbao Li, Ping Zhang, Zhifeng Chen, Peijun Feng, and Nan Luo. "Computer Evidence Analysis Technology Based on Weighted Frequent Pattern Growth Algorithm." In Lecture Notes in Computer Science. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-24271-8_39.

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Ahmed, Shafiul Alom, and Bhabesh Nath. "Modified FP-Growth: An Efficient Frequent Pattern Mining Approach from FP-Tree." In Lecture Notes in Computer Science. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-34869-4_6.

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Patel, Punyaban, Borra Sivaiah, and Riyam Patel. "Relevance of Frequent Pattern (FP)-Growth-Based Association Rules on Liver Diseases." In Intelligent Systems. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-0901-6_58.

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Gopalan, Raj P., and Yudho Giri Sucahyo. "TreeITL-Mine: Mining Frequent Itemsets Using Pattern Growth, Tid Intersection, and Prefix Tree." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-36187-1_47.

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Pamba, Raja Varma, Elizabeth Sherly, and Kiran Mohan. "Self-adaptive Frequent Pattern Growth-Based Dynamic Fuzzy Particle Swarm Optimization for Web Document Clustering." In Advances in Intelligent Systems and Computing. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1135-2_2.

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Conference papers on the topic "Frequent Pattern Growth"

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Tassev, Vladimir, Shivashankar Vangala, Samuel Linser, Duane Brinegar, and Valentin Petrov. "Frequency Conversion in OP-GaAsP for MLWIR Operation." In Frontiers in Optics. Optica Publishing Group, 2024. https://doi.org/10.1364/fio.2024.jw4a.14.

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600 μm thick orientation-patterned GaAsP quasi-phase matching structures were grown by hydride vapor phase epitaxy on OP-GaAs templates. Frequency conversion in the mid IR exceeding 19 % conversion efficiency was demonstrated via second harmonic generation.

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Al-Hamodi, Arkan A. G., and Songfeng Lu. "MRFP: Discovery Frequent Patterns Using MapReduce Frequent Pattern Growth." In 2016 International Conference on Network and Information Systems for Computers (ICNISC). IEEE, 2016. http://dx.doi.org/10.1109/icnisc.2016.071.

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Bashir, Shariq, Zahid Halim, and A. Rauf Baig. "Mining fault tolerant frequent patterns using pattern growth approach." In 2008 IEEE/ACS International Conference on Computer Systems and Applications (AICCSA). IEEE, 2008. http://dx.doi.org/10.1109/aiccsa.2008.4493532.

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Rizki, Muhammad, Choiriah Azmi, Fitra Lestari, Nazaruddin Nazaruddin, Muhammad Isnaini Hadiyul Umam, and Hartono Hartono. "Analysis Of Consumer Purchase Patterns Using Frequent Pattern Growth Algorithm (FP-Growth)." In 4th Asia Pacific International Conference on Industrial Engineering and Operations Management. IEOM Society International, 2023. http://dx.doi.org/10.46254/ap04.20230021.

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Akbar, Monika, and Rafal A. Angryk. "Frequent pattern-growth approach for document organization." In Proceeding of the 2nd international workshop. ACM Press, 2008. http://dx.doi.org/10.1145/1458484.1458496.

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Hussain, Hussain, Rizka Reza Pahlevi, Aulia Arif Wardana, and Satria Akbar Mugitama. "Smart Camping Management Asset using Frequent Pattern-Growth Algorithm." In 2023 11th International Conference on Information and Communication Technology (ICoICT). IEEE, 2023. http://dx.doi.org/10.1109/icoict58202.2023.10262776.

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Babu, M. Vinaya, and M. Sreedevi. "Performance Analysis on Advances in Frequent Pattern Growth Algorithm." In 2022 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI). IEEE, 2022. http://dx.doi.org/10.1109/accai53970.2022.9752650.

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Zou, Lei, Yansheng Lu, Huaming Zhang, Rong Hu, and Chong Zhou. "Mining Frequent Induced Subtrees by Prefix-Tree-Projected Pattern Growth." In 2006 Seventh International Conference on Web-Age Information Management Workshops. IEEE, 2006. http://dx.doi.org/10.1109/waimw.2006.20.

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Ahmad, Tanvir, and Mohammad Najmud Doja. "Opinion Mining Using Frequent Pattern Growth Method from Unstructured Text." In 2013 International Symposium on Computational and Business Intelligence (ISCBI). IEEE, 2013. http://dx.doi.org/10.1109/iscbi.2013.26.

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"AN IMPROVED FREQUENT PATTERN-GROWTH APPROACH TO DISCOVER RARE ASSOCIATION RULES." In International Conference on Knowledge Discovery and Information Retrieval. SciTePress - Science and and Technology Publications, 2009. http://dx.doi.org/10.5220/0002299600430052.

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Reports on the topic "Frequent Pattern Growth"

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Taucher, Jan, and Markus Schartau. Report on parameterizing seasonal response patterns in primary- and net community production to ocean alkalinization. OceanNETs, 2021. http://dx.doi.org/10.3289/oceannets_d5.2.

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We applied a 1-D plankton ecosystem-biogeochemical model to assess the impacts of ocean alkalinity enhancement (OAE) on seasonal changes in biogeochemistry and plankton dynamics. Depending on deployment scenarios, OAE should theoretically have variable effects on pH and seawater pCO2, which might in turn affect (a) plankton growth conditions and (b) the efficiency of carbon dioxide removal (CDR) via OAE. Thus, a major focus of our work is how different magnitudes and temporal frequencies of OAE might affect seasonal response patterns of net primary productivity (NPP), ecosystem functioning and

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Taucher, Jan, and Markus Schartau. Report on parameterizing seasonal response patterns in primary- and net community production to ocean alkalinization. OceanNETs, 2021. http://dx.doi.org/10.3289/oceannets_d5.3.

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We applied a 1-D plankton ecosystem-biogeochemical model to assess the impacts of ocean alkalinity enhancement (OAE) on seasonal changes in biogeochemistry and plankton dynamics. Depending on deployment scenarios, OAE should theoretically have variable effects on pH and seawater pCO2, which might in turn affect (a) plankton growth conditions and (b) the efficiency of carbon dioxide removal (CDR) via OAE. Thus, a major focus of our work is how different magnitudes and temporal frequencies of OAE might affect seasonal response patterns of net primary productivity (NPP), ecosystem functioning and

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Menezes-Filho, Naercio Aquino, and Renata Narita. Labor Market Turnover and Inequality in Latin America. Inter-American Development Bank, 2023. http://dx.doi.org/10.18235/0005210.

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This paper describes the patterns of worker turnover in selected Latin American countries and their implications for wage inequality. It documents a higher positive annual wage growth rate for job to job changers compared to stayers, due to turnover capturing the immediate gains from search behavior in the short run. Younger workers benefit relatively more from the positive effects of job to job changes, as expected. We also show that transitions are relatively higher within the informal sector for most countries, and particularly so for workers without college education. Moreover, total job s

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Tao, Yang, Victor Alchanatis, and Yud-Ren Chen. X-ray and stereo imaging method for sensitive detection of bone fragments and hazardous materials in de-boned poultry fillets. United States Department of Agriculture, 2006. http://dx.doi.org/10.32747/2006.7695872.bard.

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As Americans become increasingly health conscious, they have increased their consumptionof boneless white and skinless poultry meat. To the poultry industry, accurate detection of bonefragments and other hazards in de-boned poultry meat is important to ensure food quality andsafety for consumers. X-ray imaging is widely used for internal material inspection. However,traditional x-ray technology has limited success with high false-detection errors mainly becauseof its inability to consistently recognize bone fragments in meat of uneven thickness. Today’srapid grow-out practices yield chicken bo

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Wideman, Jr., Robert F., Nicholas B. Anthony, Avigdor Cahaner, Alan Shlosberg, Michel Bellaiche, and William B. Roush. Integrated Approach to Evaluating Inherited Predictors of Resistance to Pulmonary Hypertension Syndrome (Ascites) in Fast Growing Broiler Chickens. United States Department of Agriculture, 2000. http://dx.doi.org/10.32747/2000.7575287.bard.

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Background PHS (pulmonary hypertension syndrome, ascites syndrome) is a serious cause of loss in the broiler industry, and is a prime example of an undesirable side effect of successful genetic development that may be deleteriously manifested by factors in the environment of growing broilers. Basically, continuous and pinpointed selection for rapid growth in broilers has led to higher oxygen demand and consequently to more frequent manifestation of an inherent potential cardiopulmonary incapability to sufficiently oxygenate the arterial blood. The multifaceted causes and modifiers of PHS make

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Boyle, Maxwell. Terrestrial vegetation monitoring at Cape Lookout National Seashore: 2022 data summary. National Park Service, 2024. http://dx.doi.org/10.36967/2303636.

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Parks within the Southeast Coast Network (SECN) host a diverse assemblage of plants and terrestrial vegetation communities. Vegetation communities are dynamic entities whose species composition, abundance, distribution, and structure are influenced by environmental factors and impacted over time by natural and anthropogenic disturbances. Determining trends in vegetation communities over time and identifying plant stressors is vital to understanding the ecological health of terrestrial ecosystems within SECN parks. Like most barrier islands along the southeastern coast, the vegetation communiti

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