Relevant bibliographies by topics / A Frequent

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

Academic literature on the topic 'A Frequent'

Author: Grafiati
Published: 5 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "A Frequent"

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Berns, Jeffrey S., and Laura M. Dember. "Can Frequent Hemodialysis Be Too Frequent?" Journal of the American Society of Nephrology 24, no. 3 (2013): 334–36. http://dx.doi.org/10.1681/asn.2013010007.

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Stattner, Erick, and Martine Collard. "From Frequent Features to Frequent Social Links." International Journal of Information System Modeling and Design 4, no. 3 (2013): 76–98. http://dx.doi.org/10.4018/jismd.2013070104.

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Standard data mining techniques have been applied and adapted for eliciting knowledge from social networks, by achieving classical tasks such as classification, search for frequent patterns or link prediction. Most works have exploited only the network topological structure, and therefore cannot be used to answer questions involving nodes features. For instance, the frequent pattern discovery task generally refers to the search for sub-networks frequently found in a single network or in a set of networks. In the same area, this paper focuses on the concept of frequent link that stands as a reg
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Chaoui, R. "Dermatofibroma Frequent Disease, Uncommon Location." Clinical Medical Reviews and Reports 2, no. 01 (2020): 01–02. http://dx.doi.org/10.31579/2690-8794/003.

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Dermatofibroma (DF) is a very common benign tumor, which occurs most often in middle-aged women. In general, DF presents as a solitary lesion on the extremities, shoulders or buttock, which occasionally develops following minor trauma or an insect bite. We describe a case of dermatofibroma involving the dorsum of right hand.
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Shanmugam, N., T. P. Chua, and D. Ward. "‘Frequent’ ventricular bigeminy - A reversible cause of dilated cardiomyopathy. How frequent is ‘frequent’?" European Journal of Heart Failure 8, no. 8 (2006): 869–73. http://dx.doi.org/10.1016/j.ejheart.2006.02.011.

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Archilles, Wendy, Jennifer Blaskovich, and Terence Pitre. "Corporate governance and reporting frequency: Hazards of more frequent reporting." Corporate Ownership and Control 6, no. 2 (2008): 298–303. http://dx.doi.org/10.22495/cocv6i2c2p4.

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There has been little research that has examined any of the possible consequences of frequent financial reporting. In this paper, we discuss and provide theoretical explanations for two negative consequences associated with more frequent reporting. Based on search from psychology and sociology we theorize how more frequent reporting can lead to (1) goal seeking behavior by managers, (2) inaccurate predictions from investors (3) higher dispersion of investor beliefs and (4) higher uncertainty of investor beliefs
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Ford, Marilyn Chandler. "Frequent Fliers." Californian Journal of Health Promotion 3, no. 2 (2005): 61–71. http://dx.doi.org/10.32398/cjhp.v3i2.1764.

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Jail practitioners are very familiar with a small, but very active group of minor offenders that cycle through local correctional institutions on a regular basis. These offenders have received comparatively little scrutiny from jail scholars, and this study responds to this gap in the literature by examining the legal and social characteristics of a group of Florida jail offenders that has been labeled frequent fliers. This exploratory study examines the characteristics of these high-demand users and their involvement in local justice systems. The findings reveal that a small group of jail inm
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Crundell, Andrew. "Frequent attenders." Morecambe Bay Medical Journal 7, no. 6 (2016): 144–50. http://dx.doi.org/10.48037/mbmj.v7i6.139.

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Arnold, V. "Frequent Representations." Moscow Mathematical Journal 3, no. 4 (2003): 1209–21. http://dx.doi.org/10.17323/1609-4514-2003-3-4-1209-1221.

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Leary, J. E. "Frequent Losers." Minnesota Review 2006, no. 65-66 (2006): 37–48. http://dx.doi.org/10.1215/00265667-2006-65-66-37.

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Veysman, B. "Frequent Flier." Academic Emergency Medicine 13, no. 2 (2006): 172–73. http://dx.doi.org/10.1197/j.aem.2005.10.001.

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Dissertations / Theses on the topic "A Frequent"

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Alnatsheh, Rami H. "Frequent Itemset Hiding Algorithm Using Frequent Pattern Tree Approach." NSUWorks, 2012. http://nsuworks.nova.edu/gscis_etd/76.

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A problem that has been the focus of much recent research in privacy preserving data-mining is the frequent itemset hiding (FIH) problem. Identifying itemsets that appear together frequently in customer transactions is a common task in association rule mining. Organizations that share data with business partners may consider some of the frequent itemsets sensitive and aim to hide such sensitive itemsets by removing items from certain transactions. Since such modifications adversely affect the utility of the database for data mining applications, the goal is to remove as few items as possible.
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Shang, Xuequn. "SQL based frequent pattern mining." [S.l. : s.n.], 2005. http://deposit.ddb.de/cgi-bin/dokserv?idn=975449176.

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Soztutar, Enis. "Mining Frequent Semantic Event Patterns." Master's thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/12611007/index.pdf.

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Especially with the wide use of dynamic page generation, and richer user interaction in Web, traditional web usage mining methods, which are based on the pageview concept are of limited usability. For overcoming the difficulty of capturing usage behaviour, we define the concept of semantic events. Conceptually, events are higher level actions of a user in a web site, that are technically independent of pageviews. Events are modelled as objects in the domain of the web site, with associated properties. A sample event from a video web site is the &#039<br>play video event&#039<br>with properties
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Eom, Boyun. "Query optimization using frequent itemset mining." [Gainesville, Fla.] : University of Florida, 2005. http://purl.fcla.edu/fcla/etd/UFE0010844.

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Wang, Liang, and 王亮. "Frequent itemsets mining on uncertain databases." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2010. http://hub.hku.hk/bib/B4590215X.

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Schlegel, Benjamin. "Frequent itemset mining on multiprocessor systems." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-141763.

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Frequent itemset mining is an important building block in many data mining applications like market basket analysis, recommendation, web-mining, fraud detection, and gene expression analysis. In many of them, the datasets being mined can easily grow up to hundreds of gigabytes or even terabytes of data. Hence, efficient algorithms are required to process such large amounts of data. In recent years, there have been many frequent-itemset mining algorithms proposed, which however (1) often have high memory requirements and (2) do not exploit the large degrees of parallelism provided by modern mul
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PULVIRENTI, FABIO. "Frequent Itemset Mining for Big Data." Doctoral thesis, Politecnico di Torino, 2017. http://hdl.handle.net/11583/2696539.

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Traditional data mining tools, developed to extract actionable knowledge from data, demonstrated to be inadequate to process the huge amount of data produced nowadays. Even the most popular algorithms related to Frequent Itemset Mining, an exploratory data analysis technique used to discover frequent items co-occurrences in a transactional dataset, are inefficient with larger and more complex data. As a consequence, many parallel algorithms have been developed, based on modern frameworks able to leverage distributed computation in commodity clusters of machines (e.g., Apache Hadoop, Apache
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Amiri, Mohsen. "Cervical musculoskeletal impairment in frequent intermittent headache /." [St. Lucia, Qld.], 2003. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe18168.pdf.

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Liu, Guimei. "Supporting efficient and scalable frequent pattern mining /." View abstract or full-text, 2005. http://library.ust.hk/cgi/db/thesis.pl?COMP%202005%20LIUG.

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Jin, Ruoming. "New techniques for efficiently discovering frequent patterns." Connect to resource, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1121795612.

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Thesis (Ph. D.)--Ohio State University, 2005.<br>Title from first page of PDF file. Document formatted into pages; contains xvii, 170 p.; also includes graphics. Includes bibliographical references (p. 160-170). Available online via OhioLINK's ETD Center
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Books on the topic "A Frequent"

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Jeffrey, Jack. Frequent stops. Artspeak, 2003.

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Jeffrey, Jack. Frequent stops. Artspeak, 2003.

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Crispin, Edmund. Frequent hearses. G.K. Hall, 1994.

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Crispin, Edmund. Frequent hearses. Chivers, 1994.

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Friedman, Kinky. Frequent flyer. Morrow, 1989.

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Aggarwal, Charu C., and Jiawei Han, eds. Frequent Pattern Mining. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07821-2.

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Dean, S. F. X. By frequent anguish. Chivers Press, 1985.

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Fitzgerald, John E. Frequent flyer's award book. Passport Books, 1987.

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Creative & Response Research Services, Inc. and National Restaurant Association (U.S.), eds. The frequent dinner customer. National Restaurant Association, 1997.

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DeSimone, Jeffrey S. Fraternity membership & frequent drinking. National Bureau of Economic Research, 2010.

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Book chapters on the topic "A Frequent"

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Salmenkivi, Marko. "Frequent Pattern." In Encyclopedia of GIS. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-23519-6_434-2.

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Brank, Janez, Dunja Mladenić, Marko Grobelnik, et al. "Frequent Itemset." In Encyclopedia of Machine Learning. Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-30164-8_317.

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Brank, Janez, Dunja Mladenić, Marko Grobelnik, et al. "Frequent Pattern." In Encyclopedia of Machine Learning. Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-30164-8_318.

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Brank, Janez, Dunja Mladenić, Marko Grobelnik, et al. "Frequent Set." In Encyclopedia of Machine Learning. Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-30164-8_319.

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Salmenkivi, Marko. "Frequent Pattern." In Encyclopedia of GIS. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-17885-1_434.

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Salmenkivi, Marko. "Frequent Pattern." In Encyclopedia of GIS. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_434.

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Dalton, Jeff. "Frequent Releases." In Great Big Agile. Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-4206-3_30.

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Wu, Di. "Frequent Patterns." In Data Mining with Python. Chapman and Hall/CRC, 2024. http://dx.doi.org/10.1201/9781003462781-9.

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Toivonen, Hannu. "Frequent Pattern." In Encyclopedia of Machine Learning and Data Science. Springer US, 2023. http://dx.doi.org/10.1007/978-1-4899-7502-7_106-1.

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Toivonen, Hannu. "Frequent Itemset." In Encyclopedia of Machine Learning and Data Science. Springer US, 2023. http://dx.doi.org/10.1007/978-1-4899-7502-7_105-1.

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Conference papers on the topic "A Frequent"

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Qian, Jin, and Feiyue Ye. "Mining Maximal Frequent Itemsets with Frequent Pattern List." In Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007). IEEE, 2007. http://dx.doi.org/10.1109/fskd.2007.405.

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Chen, Donghui, and Zhijing Liu. "Based on Frequent Itemset for Maximal Frequent Itesets." In 2010 International Conference on Electrical and Control Engineering (ICECE). IEEE, 2010. http://dx.doi.org/10.1109/icece.2010.1424.

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Kumar, A. V. Senthil, and R. S. D. Wahidabanu. "A Frequent Item Graph Approach for Discovering Frequent Itemsets." In 2008 International Conference on Advanced Computer Theory and Engineering (ICACTE). IEEE, 2008. http://dx.doi.org/10.1109/icacte.2008.129.

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Li, Qin, and Sheng Chang. "Generating Closed Frequent Itemsets with the Frequent Pattern List." In 2010 2nd International Workshop on Database Technology and Applications (DBTA). IEEE, 2010. http://dx.doi.org/10.1109/dbta.2010.5658741.

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Qunxiong Zhu and Xiaoyong Lin. "Mining Frequent Patterns with Incremental Updating Frequent Pattern Tree." In 2006 6th World Congress on Intelligent Control and Automation. IEEE, 2006. http://dx.doi.org/10.1109/wcica.2006.1714215.

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Zhou, Zhongmei. "Mining Frequent Independent Patterns and Frequent Correlated Patterns Synchronously." In 2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). IEEE, 2008. http://dx.doi.org/10.1109/fskd.2008.27.

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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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Fan, Lilin. "Frequent Itemsets Discovery Algorithm and Its Application Based on Frequent Matrix." In 2009 International Conference on Computational Intelligence and Software Engineering. IEEE, 2009. http://dx.doi.org/10.1109/cise.2009.5366560.

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Yang, Guizhen. "The complexity of mining maximal frequent itemsets and maximal frequent patterns." In the 2004 ACM SIGKDD international conference. ACM Press, 2004. http://dx.doi.org/10.1145/1014052.1014091.

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Stattner, Erick, and Martine Collard. "How to extract frequent links with frequent itemsets in social networks?" In 2012 Sixth International Conference on Research Challenges in Information Science (RCIS). IEEE, 2012. http://dx.doi.org/10.1109/rcis.2012.6240432.

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Reports on the topic "A Frequent"

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Kuramochi, Michihiro, and George Karypis. Discovering Frequent Geometric Subgraphs. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada438939.

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Kuramochi, Michihiro, and George Karypis. Discovering Frequent Geometric Subgraphs. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada439484.

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Goldsmith, Ronald E., Leisa R. Flynn, and Elizabeth B. Goldsmith. Profiling the Frequent Clothing Shopper. Iowa State University, Digital Repository, 2013. http://dx.doi.org/10.31274/itaa_proceedings-180814-491.

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DeSimone, Jeffrey. Fraternity Membership & Frequent Drinking. National Bureau of Economic Research, 2010. http://dx.doi.org/10.3386/w16291.

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Mosiane, Ngaka, Wendy Tsoriyo, Samkelisiwe Khanyile, Geoff Bickford, and Thembani Mkhize. Gauteng commuters’ frequent travel times. Gauteng City-Region Observatory, 2024. http://dx.doi.org/10.36634/drlj6940.

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Kuramochi, Michihiro, and George Karypis. GREWA Scalable Frequent Subgraph Discovery Algorithm. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada439436.

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Alkire, Sabina. Towards Frequent and Accurate Poverty Data. University of Oxford, 2014. http://dx.doi.org/10.35648/20.500.12413/11781/ii026.

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Eichenbaum, Martin, Nir Jaimovich, Sergio Rebelo, and Josephine Smith. How Frequent Are Small Price Changes? National Bureau of Economic Research, 2012. http://dx.doi.org/10.3386/w17956.

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Jagannathan, Ravi. On Frequent Batch Auctions for Stocks. National Bureau of Economic Research, 2019. http://dx.doi.org/10.3386/w26341.

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Abenavoli, Rachel, Sara Amadon, and Sydney Briggs. Frequent Moves May Hurt Mothers’ Health. Child Trends, Inc., 2024. http://dx.doi.org/10.56417/3760y6138o.

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