Relevant bibliographies by topics / Ruleset generation

Contents

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

Academic literature on the topic 'Ruleset generation'

Author: Grafiati
Published: 18 November 2024

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Journal articles on the topic "Ruleset generation"

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Alharbi, Fares, Gautam Siddharth Kashyap, and Budoor Ahmad Allehyani. "Automated Ruleset Generation for “HTTPS Everywhere”." International Journal of Information Security and Privacy 18, no. 1 (2024): 1–14. http://dx.doi.org/10.4018/ijisp.347330.

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This paper details the implementation of a Web crawler aimed at automating ruleset construction for “HTTPS Everywhere,” with a goal to convert HTTP URLs to secure HTTPS equivalents for enhanced communication security. Developed within a seven-month timeframe, the crawler faced challenges in verifying HTTPS support, varying based on SSL certificate existence and validity. Successful ruleset creation and testing in Firefox and Chrome, adhering to stylistic standards, demonstrated the potential for effective development. The paper explores improving productivity through alternative libraries like
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Rijati, Nova, Diana Purwitasar, Surya Sumpeno, and Mauridhi Hery Purnomo. "A Rule-Generation Model for Class Imbalances to Detect Student Entrepreneurship Based on the Theory of Planned Behavior." Cybernetics and Information Technologies 22, no. 2 (2022): 160–78. http://dx.doi.org/10.2478/cait-2022-0023.

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Abstract The ability to identify the entrepreneurial potential of students enables higher education institutions to contribute to the economic and social development of a country. Current research trends regarding the detection of student entrepreneurial potential have the greatest challenge in the unequal ratio of datasets. This study proposes a rule-generation model in an imbalanced situation to classify student entrepreneurship based on the Theory of Planned Behavior (TPB). The result is a ruleset that is used for the early detection of student entrepreneurial potential. The proposed method
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Opoku, Samuel King. "A Robust Mechanism for Categorizing Context-Aware Applications into Generations." European Journal of Electrical Engineering and Computer Science 5, no. 6 (2021): 10–16. http://dx.doi.org/10.24018/ejece.2021.5.6.371.

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The hunt to categorize context-aware applications has been a prevalent issue to developers of context-aware applications. The previous categorizations were based on the functions of the applications. These mechanisms yielded limited results since many applications could not be categorized. This paper categorizes applications into four generations based on developmental trends through a literature survey. The first generation applications focused on data acquisition and used hardware sensors. The second generation applications focused on knowledge acquisition and used software sensors, semantic
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Coscia, Antonio, Vincenzo Dentamaro, Stefano Galantucci, Antonio Maci, and Giuseppe Pirlo. "Automatic decision tree-based NIDPS ruleset generation for DoS/DDoS attacks." Journal of Information Security and Applications 82 (May 2024): 103736. http://dx.doi.org/10.1016/j.jisa.2024.103736.

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Capasso-Ballesteros, Italo Felipe, and Fernando De la Rosa-Rosero. "Semi-automatic construction of video game design prototypes with MaruGen." Revista Facultad de Ingeniería Universidad de Antioquia, no. 99 (March 27, 2020): 9–20. http://dx.doi.org/10.17533/udea.redin.20200369.

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Machinations Ruleset Generator (MaruGen) is a semi-automatic system for the generation of mechanics, rules, spaces (environments), and missions for video games. The objective of this system is to offer an expression mechanism for the video game designer role based on the definition of rules, and the ability to explore the concepts of progression and emergence in video games by using a formal, usable, and defined tool to design games with innovative and complex elements, and behaviors defined from combinations of basic elements. Based on the expressed designs and with the participation of progr
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Gerussi, Alessio, Damiano Verda, Claudio Cappadona, et al. "LLM-PBC: Logic Learning Machine-Based Explainable Rules Accurately Stratify the Genetic Risk of Primary Biliary Cholangitis." Journal of Personalized Medicine 12, no. 10 (2022): 1587. http://dx.doi.org/10.3390/jpm12101587.

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Background: The application of Machine Learning (ML) to genetic individual-level data represents a foreseeable advancement for the field, which is still in its infancy. Here, we aimed to evaluate the feasibility and accuracy of an ML-based model for disease risk prediction applied to Primary Biliary Cholangitis (PBC). Methods: Genome-wide significant variants identified in subjects of European ancestry in the recently released second international meta-analysis of GWAS in PBC were used as input data. Quality-checked, individual genomic data from two Italian cohorts were used. The ML included t
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Gowda, Shashi, Yingbo Ma, Alessandro Cheli, et al. "High-performance symbolic-numerics via multiple dispatch." ACM Communications in Computer Algebra 55, no. 3 (2021): 92–96. http://dx.doi.org/10.1145/3511528.3511535.

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As mathematical computing becomes more democratized in high-level languages, high-performance symbolic-numeric systems are necessary for domain scientists and engineers to get the best performance out of their machine without deep knowledge of code optimization. Naturally, users need different term types either to have different algebraic properties for them, or to use efficient data structures. To this end, we developed Symbolics.jl, an extendable symbolic system which uses dynamic multiple dispatch to change behavior depending on the domain needs. In this work we detail an underlying abstrac
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Liu, Zhen Yu, Zhi Hui Song, Rui Qing Yan, and Zeng Zhang. "The Optimization Algorithm of Association Rules Mining." Applied Mechanics and Materials 614 (September 2014): 405–8. http://dx.doi.org/10.4028/www.scientific.net/amm.614.405.

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Frequent itemsets mining is the core part of association rule mining. At present most of the research on association rules mining is focused on how to improve the efficiency of mining frequent itemsets , however, the rule sets generated from frequent itemsets are the final results presented to decision makers for making, so how to optimize the rulesets generation process and the final rules is also worthy of attention. Based on encoding the dataset, this paper proposes a encoding method to speed up the generation process of frequent itemsets and proposes a subset tree to generate association r
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Hee Chang, Park. "Generation Method of Association Rules by Symmetric Hellinger Measure." Korean Data Analysis Society 19, no. 5 (2017): 2323–29. http://dx.doi.org/10.37727/jkdas.2017.19.5.2323.

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Sakai, Hiroshi, and Michinori Nakata. "An Application of Discernibility Functions to Generating Minimal Rules in Non-Deterministic Information Systems." Journal of Advanced Computational Intelligence and Intelligent Informatics 10, no. 5 (2006): 695–702. http://dx.doi.org/10.20965/jaciii.2006.p0695.

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Minimal rule generation in Non-deterministic Information Systems (NISs), which follows rough sets based rule generation in Deterministic Information Systems (DISs), is presented. According to certain rules and possible rules in NISs, minimal certain rules and minimal possible rules are defined. Discernibility functions are also introduced into NISs for generating minimal certain rules. Like minimal rule generation in DISs, the condition part of a minimal certain rule is given as a solution of an introduced discernibility function. As for generating minimal possible rules, there may be lots of
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Dissertations / Theses on the topic "Ruleset generation"

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Haq, Ikram. "Fraud detection for online banking for scalable and distributed data." Thesis, Federation University Australia, 2020. http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/171977.

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Online fraud causes billions of dollars in losses for banks. Therefore, online banking fraud detection is an important field of study. However, there are many challenges in conducting research in fraud detection. One of the constraints is due to unavailability of bank datasets for research or the required characteristics of the attributes of the data are not available. Numeric data usually provides better performance for machine learning algorithms. Most transaction data however have categorical, or nominal features as well. Moreover, some platforms such as Apache Spark only recognizes numeric
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Gundavarapu, Madhavi. "RuleGen – A Rule Generation Application Using Multiset Decision Tables." University of Akron / OhioLINK, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=akron1140111266.

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Koh, Yun Sing, and n/a. "Generating sporadic association rules." University of Otago. Department of Computer Science, 2007. http://adt.otago.ac.nz./public/adt-NZDU20070711.115758.

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Association rule mining is an essential part of data mining, which tries to discover associations, relationships, or correlations among sets of items. As it was initially proposed for market basket analysis, most of the previous research focuses on generating frequent patterns. This thesis focuses on finding infrequent patterns, which we call sporadic rules. They represent rare itemsets that are scattered sporadically throughout the database but with high confidence of occurring together. As sporadic rules have low support the minabssup (minimum absolute support) measure was proposed to filter
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Ma, Liangjun, and Shouchuan Zhang. "Generating Fuzzy Rules For Case-based Classification." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-16444.

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As a technique to solve new problems based on previous successful cases, CBR represents significant prospects for improving the accuracy and effectiveness of unstructured decision-making problems. Similar problems have similar solutions is the main assumption. Utility oriented similarity modeling is gradually becoming an important direction for Case-based reasoning research. In this thesis, we propose a new way to represent the utility of case by using fuzzy rules. Our method could be considered as a new way to estimate case utility based on fuzzy rule based reasoning. We use modified WANG’s a
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Johnson, Christopher Wayne Bagai Rajiv. "Mechanical generation of concrete syntax rules for the Schütz semantic editor." Diss., A link to full text of this thesis in SOAR, 2007. http://soar.wichita.edu/dspace/handle/10057/1141.

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Thesis (M.S.)--Wichita State University, College of Liberal Arts and Sciences., Dept. of Computer Science.<br>"May 2007." Title from PDF title page (viewed on Dec. 26, 2007). Thesis adviser: Rajiv Bagai. Includes bibliographical references (65-66 leaves).
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Powell, Anastasia. "Generation Y : re-writing the rules on sex,love and consent /." Connect to thesis, 2007. http://eprints.unimelb.edu.au/archive/00004035.

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Fry, John, T. Galla, and J. M. Binner. "Quantitative decision-making rules for the next generation of smarter evacuations." Springer, 2015. http://hdl.handle.net/10454/17563.

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Hall, A. R. "Automatic speech recognition using morpheme structure rules for word hypothesis and dictionary generation." Thesis, London South Bank University, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.352963.

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

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Kuri, Bless. "Sustainable generation mix as a reference in effective design of electricity market structures and rules." Thesis, University of Bath, 2006. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.440360.

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Books on the topic "Ruleset generation"

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Westheimer, Julius. Generation of wealth: Time-tested rules for worry-free investing. Bancroft Press, 1997.

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Andrianopoulos, G. An environment for the verification and code generation of temporal rules. UMIST, 1993.

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Kell, Michael. An assessment of fiscal rules in the United Kingdom. International Monetary Fund, 2001.

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Ouhalla, Jamal. Introducing transformational grammar: From rules to principles and parameters. E. Arnold, 1994.

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Vachon, Marc. Equally shared parenting: Rewriting the rules for a new generation of parents. Penguin Group, 2010.

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Chris, Sherry. Next generation real estate: New rules for smarter home buying & faster selling. John Wiley & Sons, Inc., 2014.

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Amy, Vachon, ed. Equally shared parenting: Rewriting the rules for a new generation of parents. Penguin Group, 2010.

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Fanselow, John F. Breaking rules: Generating and exploring alternatives in language teaching. Longman, 1987.

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Southwick, Karen. Silicon gold rush: The next generation of high-tech stars rewrites the rules of business. Wiley, 1999.

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P, Avis Joan, ed. The women who broke all the rules: How the choices of a generation changed our lives. Sourcebooks, 1999.

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Book chapters on the topic "Ruleset generation"

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Cook, Michael. "Generating Rules." In Procedural Generation in Game Design. A K Peters/CRC Press, 2017. http://dx.doi.org/10.1201/9781315156378-29.

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Nelson, Mark J., Julian Togelius, Cameron Browne, and Michael Cook. "Rules and Mechanics." In Procedural Content Generation in Games. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-42716-4_6.

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Tsay, Li-Shiang, and Seunghyun Im. "Mining Non-redundant Reclassification Rules." In Next-Generation Applied Intelligence. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02568-6_82.

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Michalewicz, Maciej, and Zbigniew Michalewicz. "Generation of classification rules." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/3-540-54563-8_102.

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Liu, Han, Alexander Gegov, and Mihaela Cocea. "Generation of Classification Rules." In Studies in Big Data. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23696-4_3.

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Golani, Mati, and Opher Etzion. "Temporal Active Rules." In Next Generation Information Technologies and Systems. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48521-x_12.

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Rayner, Tim. "The hacker generation." In Hacker Culture and the New Rules of Innovation. Routledge, 2018. http://dx.doi.org/10.4324/9781315103662-2.

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Meddouri, Nida, and Mondher Maddouri. "Boosting Formal Concepts to Discover Classification Rules." In Next-Generation Applied Intelligence. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02568-6_51.

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Suzuki, Einoshin. "Compression-Based Measures for Mining Interesting Rules." In Next-Generation Applied Intelligence. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02568-6_75.

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Wang, Shyue-Liang, Ting-Zheng Lai, Tzung-Pei Hong, and Yu-Lung Wu. "Hiding Predictive Association Rules on Horizontally Distributed Data." In Next-Generation Applied Intelligence. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02568-6_14.

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Conference papers on the topic "Ruleset generation"

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Ostropolski-Nalewaja, Piotr, and Sebastian Rudolph. "The Sticky Path to Expressive Querying: Decidability of Navigational Queries under Existential Rules." In 21st International Conference on Principles of Knowledge Representation and Reasoning {KR-2023}. International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/kr.2024/54.

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Extensive research in the field of ontology-based query answering has led to the identification of numerous fragments of existential rules (also known as tuple-generating dependencies) that exhibit decidable answering of atomic and conjunctive queries. Motivated by the increased theoretical and practical interest in navigational queries, this paper considers the question for which of these fragments decidability of querying extends to regular path queries (RPQs). In fact, decidability of RPQs has recently been shown to generally hold for the comprehensive family of all fragments that come with
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Wang, Yutong, Jiyuan Zheng, Qijiong Liu, Zhou Zhao, Jun Xiao, and Yueting Zhuang. "Weak Supervision Enhanced Generative Network for Question Generation." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/528.

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Automatic question generation according to an answer within the given passage is useful for many applications, such as question answering system, dialogue system, etc. Current neural-based methods mostly take two steps which extract several important sentences based on the candidate answer through manual rules or supervised neural networks and then use an encoder-decoder framework to generate questions about these sentences. These approaches still acquire two steps and neglect the semantic relations between the answer and the context of the whole passage which is sometimes necessary for answer
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Jensen, Simon Holm, Suresh Thummalapenta, Saurabh Sinha, and Satish Chandra. "Test Generation from Business Rules." In 2015 IEEE 8th International Conference on Software Testing, Verification and Validation (ICST). IEEE, 2015. http://dx.doi.org/10.1109/icst.2015.7102608.

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Berramla, Karima, El Abbassia Deba, Mohamed El Kamel, and Abou El Hassen. "Semi-Automatic Generation of Transformation Rules." In the 2nd International Conference. ACM Press, 2019. http://dx.doi.org/10.1145/3320326.3320373.

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Relue, Richard, Xindong Wu, and Hao Huang. "Efficient runtime generation of association rules." In the tenth international conference. ACM Press, 2001. http://dx.doi.org/10.1145/502585.502664.

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Xu, Yue, and Yuefeng Li. "Generating concise association rules." In the sixteenth ACM conference. ACM Press, 2007. http://dx.doi.org/10.1145/1321440.1321549.

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Liu, Xianggen, Wenqiang Lei, Jiancheng Lv, and Jizhe Zhou. "Abstract Rule Learning for Paraphrase Generation." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/593.

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In early years, paraphrase generation typically adopts rule-based methods, which are interpretable and able to make global transformations to the original sentence. But they struggle to produce fluent paraphrases. Recently, deep neural networks have shown impressive performances in generating paraphrases. However, the current neural models are black boxes and are prone to make local modifications to the inputs. In this work, we combine these two approaches into RULER, a novel approach that performs abstract rule learning for paraphrasing. The key idea is to explicitly learn generalizable rules
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Karklin, Linard N., Micha Oren, Dragos Dudau, and James D. Jordan. "Bridging nanometer design-to-manufacturing gap: automated design rules correction and silicon verification." In Photomask and Next Generation Lithography Mask Technology X, edited by Hiroyoshi Tanabe. SPIE, 2003. http://dx.doi.org/10.1117/12.504251.

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Mielczarski, Wladyslaw, Blazej Olek, and Michal Wierzbowski. "Market rules in optimization of distributed generation." In 2012 9th International Conference on the European Energy Market (EEM 2012). IEEE, 2012. http://dx.doi.org/10.1109/eem.2012.6254747.

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Rodrigues, N., M. Dionísio, A. Gonçalves, L. G. Magalhães, J. P. Moura, and A. Chalmers. "Incorporating legal rules on procedural house generation." In the 24th Spring Conference. ACM Press, 2010. http://dx.doi.org/10.1145/1921264.1921279.

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Reports on the topic "Ruleset generation"

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Davies, K., and A. Freytag. Representing Label Generation Rulesets Using XML. RFC Editor, 2016. http://dx.doi.org/10.17487/rfc7940.

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Freytag, A. Guidance on Designing Label Generation Rulesets (LGRs) Supporting Variant Labels. RFC Editor, 2017. http://dx.doi.org/10.17487/rfc8228.

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Banga, Karishma, and Alexander Beyleveld. Are Trade Rules Undermining Taxation of the Digital Economy in Africa? Institute of Development Studies, 2024. http://dx.doi.org/10.19088/ictd.2024.007.

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African countries are currently considering provisions in the AfCFTA and at the WTO to liberalise digital trade. As they face mounting fiscal pressures, it is imperative that they beware the implications of digital trade provisions for their ability to tax their digital economy. In this paper, we develop a comprehensive framework for analysing the impact of trade rules on tax regimes in the digital economy, with a focus on Kenya, Rwanda, and South Africa. We explore how trade rules ostensibly shape tax policies and their implications for revenue generation. By examining rules regulating trade
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Jakeman, John Davis, and Akil Narayan. Generation and application of multivariate polynomial quadrature rules. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1510651.

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Lyness, J., and W. Newman. A classification of lattice rules using the reciprocal lattice generator matrix. Office of Scientific and Technical Information (OSTI), 1989. http://dx.doi.org/10.2172/5886138.

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Hunsaker, Jr, D., R. McLean, G. Cada, et al. Assessing the potential environmental impacts of proposed rules affecting future electric power generation in the United States. Office of Scientific and Technical Information (OSTI), 1990. http://dx.doi.org/10.2172/6993330.

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Adame Espinosa, Francisco. Monetary Rules, Financial Stability and Welfare in a non-Ricardian Framework. Banco de México, 2023. http://dx.doi.org/10.36095/banxico/di.2023.14.

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This work is based on a new Keynesian theoretical model for an advanced economy, which incorporates overlapping generations to analyze a channel through which fluctuations in household financial wealth influence aggregate demand. The optimal monetary policy, corresponding to that of a central planner maximizing households' welfare, aims to mitigate financial fluctuations while simultaneously reducing variability in inflation and the output gap. The model is calibrated for the United States and reproduces the effect of variations in the price of financial assets on aggregate demand. The results
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Vickerman, Michael Jay. Sowing the Seeds for a Bountiful Harvest: Shaping the Rules and Creating the Tools for Wisconsin's Next Generation of Wind Farms. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1077000.

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Michel, Bob, and Tatiana Falcão. Taxing Profits from International Maritime Shipping in Africa: Past, Present and Future of UN Model Article 8 (Alternative B). Institute of Development Studies (IDS), 2021. http://dx.doi.org/10.19088/ictd.2021.023.

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International maritime shipping is an essential part of global business. Since the establishment of the current international tax regime in the 1920s, there has been a consensus that profits generated by this business are taxable only in the residence state –the state where the shipowners are located. Source states – the port states where business physically takes place – are generally expected to exempt income from international shipping. This standard is currently reflected in Article 8 of the OECD Model and Article 8 (Alternative A) of the UN Model, and is incorporated in the vast majority
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Bergsen, Pepijn, Carolina Caeiro, Harriet Moynihan, Marianne Schneider-Petsinger, and Isabella Wilkinson. Digital trade and digital technical standards. Royal Institute of International Affairs, 2022. http://dx.doi.org/10.55317/9781784135133.

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There is increasing impetus for stronger cooperation between the US, EU and UK on digital technology governance. Drivers of this trend include the economic incentives arising from opportunities for digital trade; the ambition for digital technology governance to be underpinned by shared values, including support for a democratic, open and global internet; and the need to respond to geopolitical competition, especially from China. Two specific areas of governance in which there is concrete potential to collaborate, and in which policymakers have indicated significant ambitions to do so, are dig
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